Updated on 2022/10/01

写真a

 
YUCEL Zeynep
 
Organization
Faculty of Natural Science and Technology Associate Professor
Position
Associate Professor
External link

Degree

  • BS in Electrical and Electronics Engineering ( Bogazici University )

  • PhD in Electrical and Electronics Engineering ( Bilkent University )

  • MS in Electrical and Electronics Engineering ( Bilkent University )

Research Interests

  • パターンレコグニション

  • 人間の振る舞いの理解

  • Pattern recognition

  • Human behavior understading

  • ロボティクス

  • コンピュータビジョン

  • Computer vision

  • Robotics

Research Areas

  • Informatics / Intelligent informatics

Education

  • Bilkent University   Graduate School, Division of Engineering   PhD in Electrical and electronics engineering

    2005.9 - 2010.1

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    Country: Turkey

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  • Bilkent University   Graduate School, Division of Engineering   MS in Electrical and electronics engineering

    2003.9 - 2005.8

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    Country: Turkey

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  • Bogazici University   Faculty of engineering   BS in Electrical and electronics engineering

    1999.9 - 2003.6

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    Country: Turkey

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Research History

  • Okayama University   Faculty of Engineering Department of Information Technology   Associate professor

    2020.10

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  • Okayama University   Faculty of Engineering Department of Information Technology   Assistant professor

    2019.4 - 2020.9

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  • Okayama University   The Graduate School of Natural Science and Technology   WTT Assistant Professor

    2017.4 - 2019.3

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  • Advanced Telecommunications Research Institute International   JSPS Fellow

    2016.4 - 2017.7

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  • Advanced Telecommunications Research Institute International   Researcher

    2010.1 - 2015.9

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  • Centrum Wiskunde & Informatica (CWI)   PNA4 research group   Visiting researcher

    2009.1 - 2009.4

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    Country:Netherlands

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  • University of Amsterdam   Intelligent Systems Laboratory   Visiting reseacher

    2008.9 - 2008.12

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    Country:Netherlands

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  • University of Amsterdam   Intelligent Systems Laboratory   Visiting researcher

    2008.2 - 2008.5

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    Country:Netherlands

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Professional Memberships

Committee Memberships

  •   Program committee member in International Conference on Speech and Computer  

    2021.9   

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    Committee type:Academic society

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  •   Program committee member in International Conference on Speech and Computer  

    2020.10   

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  •   Program committee member in International Conference on Speech and Computer  

    2019.8   

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  •   Program committee member in International Workshop on Human Behavior Understading  

    2018.5   

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  • IEEE   メンバー  

    2013 - 2014   

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    IEEE

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  • IEEE   Member  

    2013 - 2014   

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Papers

  • Density dependence of stripe formation in a cross-flow Reviewed

    Francesco Zanlungo, Claudio Feliciani, Hisashi Murakami, Zeynep Yücel, Xiaolu Jia, Katsuhiro Nishinari, Takayuki Kanda

    International Conference on Traffic and Granular Flow (TGF 2022)   2022.10

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    Language:English   Publishing type:Research paper (conference, symposium, etc.)  

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  • On the influence of group social interaction on intrusive behaviors Reviewed

    Adrien Gregorj, Zeynep Yücel, Francesco Zanlungo, Takayuki Kanda

    International Conference on Traffic and Granular Flow (TGF 2022)   2022.10

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    Language:English   Publishing type:Research paper (conference, symposium, etc.)  

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  • Investigating the effect of various types of audio reinforcement on memory retention Reviewed

    Parisa Supitayakul, Zeynep Yücel, Misato Nose, Akito Monden

    International Conference on Learning Technologies and Learning Environments (LTLE 2022) (   2022.7

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    Language:English   Publishing type:Research paper (conference, symposium, etc.)  

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  • Improvement and Evaluation of Data Consistency Metric CIL for Software Engineering Data Sets Reviewed

    Maohua Gan, Zeynep Yucel, Akito Monden

    IEEE Access   10   70053 - 70067   2022.7

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Institute of Electrical and Electronics Engineers (IEEE)  

    DOI: 10.1109/access.2022.3188246

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  • A computationally efficient approach for solving RBSC-based formulation of the subset selection problem Reviewed

    Kohei Furuya, Zeynep Yücel, Parisa Supitayakul, Akito Monden

    2022.7

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    Language:English   Publishing type:Research paper (conference, symposium, etc.)  

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  • Exploring the limits of an RBSC-based approach in solving the subset selection problem Reviewed

    Furuya Kohei, Zeynep Yücel, Parisa Supitayakul, Akito Monden, Pattara Leelaprute

    Proc. International Conference on Data Science and Institutional Research (DSIR 2021)   2021.12

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

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  • A Simulation Model of Software Quality Assurance in the Software Lifecycle Reviewed

    Hiroto Nakahara, Akito Monden, Zeynep Yücel

    International Summer Virtual Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2021)   2021.12

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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)  

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  • Association Metrics Between Two Continuous Variables for Software Project Data Reviewed

    Takumi Kanehira, Akito Monden, Zeynep Yücel

    International Summer Virtual Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2021)   2021.12

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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)  

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  • On the interplay between vocal production effect and learning content types in e-learning settings Reviewed

    Kazuma Ohta, Zeynep Yücel, Parisa Supitayakul, Akito Monden, Pattara Leelaprute

    2021.12

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

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  • ソフトウェア開発工数予測におけるauto-sklearnの適用 Reviewed

    田中 和也, 門田 暁人, Zeynep Yücel

    38 ( 4 )   4_46 - 4_52   2021.11

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    Authorship:Last author   Language:Japanese   Publishing type:Research paper (scientific journal)  

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  • Task estimation for software company employees based on computer interaction logs Reviewed

    Florian Pellegrin, Zeynep Yücel, Akito Monden, Pattara Leelaprute

    Empirical Software Engineering   26 ( 5 )   2021.9

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer Science and Business Media LLC  

    DOI: 10.1007/s10664-021-10006-4

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    Other Link: https://link.springer.com/article/10.1007/s10664-021-10006-4/fulltext.html

  • ソフトウェア開発工数予測におけるデータスムージングの定量的評価 Reviewed

    伊永 健人, 門田 暁人, Zeynep Yücel

    38 ( 3 )   3_83 - 3_89   2021.8

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    Authorship:Last author   Language:Japanese   Publishing type:Research paper (scientific journal)  

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  • Estimating Level of Engagement from Ocular Landmarks Reviewed

    Zeynep Yücel, Serina Koyama, Akito Monden, Mariko Sasakura

    International Journal of Human–Computer Interaction   36 ( 16 )   1527 - 1539   2020.10

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Informa UK Limited  

    DOI: 10.1080/10447318.2020.1768666

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  • Empirical Evaluation of Mimic Software Project Data Sets for Software Effort Estimation Reviewed

    Maohua GAN, Zeynep YÜCEL, Akito MONDEN, Kentaro SASAKI

    IEICE Transactions on Information and Systems   E103.D ( 10 )   2094 - 2103   2020.10

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Institute of Electronics, Information and Communications Engineers (IEICE)  

    DOI: 10.1587/transinf.2019edp7150

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  • Investigating effect of stimulus modality on recollection rate in e-learning systems Reviewed

    Parisa Supitayakul, Zeynep Yucel, Akito Monden, Pattara Leelaprute

    2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)   138 - 141   2020.9

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/iiai-aai50415.2020.00036

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  • Pedestrian Models for Robot Motion Reviewed

    Francesco Zanlungo, Florent Ferreri, Jani Even, Luis Yoichi Morales, Zeynep Yücel, Takayuki Kanda

    Collective Dynamics   5   525 - 527   2020.8

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Forschungszentrum Julich, Zentralbibliothek  

    We discuss the development of a robot system able to replicate human group motion and show how a pedestrian model may be converted to a robot control system in order to achieve this goal.

    DOI: 10.17815/cd.2020.90

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  • An Algorithm for Automatic Collation of Vocabulary Decks Based on Word Frequency Reviewed

    Zeynep YÜCEL, Parisa SUPITAYAKUL, Akito MONDEN, Pattara LEELAPRUTE

    IEICE Transactions on Information and Systems   E103.D ( 8 )   1865 - 1874   2020.8

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Institute of Electronics, Information and Communications Engineers (IEICE)  

    DOI: 10.1587/transinf.2019edp7279

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  • Estimating social relation from trajectories Reviewed

    Zeynep Yucel, Francesco Zanlungo, Claudio Feliciani, Adrien Gregorj, Takayuki Kanda

    Collective Dynamics   5   222 - 229   2020.3

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Forschungszentrum Julich, Zentralbibliothek  

    This study focuses on social pedestrian groups in public spaces and makes an effort to identify the social relation between the group members. We particularly consider dyads having coalitional or mating relation. We derive several observables from individual and group trajectories, which are suggested to be distinctive for these two sorts of relations and propose a recognition algorithm taking these observables as features and yielding an estimation of social relation in a probabilistic manner at every sampling step. On the average, we detect coalitional relation with 87% and mating relation with 81% accuracy. To the best of our knowledge, this is the first study to infer social relation from joint (loco)motion patterns and we consider the detection rates to be a satisfactory considering the inherent challenge of the problem.

    DOI: 10.17815/cd.2020.54

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  • Social group behaviour of triads. Dependence on purpose and gender Reviewed

    Francesco Zanlungo, Zeynep Yücel, Takayuki Kanda

    Collective Dynamics   5   118 - 125   2020.3

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Forschungszentrum Julich, Zentralbibliothek  

    We analysed a set of uninstructed pedestrian trajectories automatically tracked in a public area, and we asked a human coder to assess their group relationships. For those pedestrians who belong to the groups, we asked the coder to identify their apparent purpose of visit to the tracking area and apparent gender. We studied the quantitative dependence of the group dynamics on such properties in the case of triads (three people groups) and compared them to the two pedestrian group case (dyads), studied in a previous work. We found that the group velocity strongly depends on relation and gender for both triads and dyads, while the influence of these properties on spatial structure of groups is less clear in the triadic case. We discussed the relevance of these results to the modelling of pedestrian and crowd dynamics, and examined the possibility of the future works on this subject.

    DOI: 10.17815/cd.2020.41

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  • Identification of behavioral variables for efficient representation of difficulty in vocabulary learning systems Reviewed

    Zeynep Yucel, Parisa Supitayakul, Akito Monden, Pattara Leelaprute

    International Journal of Learning Technologies and Learning Environments   3 ( 1 )   51 - 60   2020

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:International Institute of Applied Informatics  

    DOI: 10.52731/ijltle.v3.i1.521

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  • Gender Profiling of Pedestrian Dyads Reviewed

    Zeynep Yücel, Francesco Zanlungo, Takayuki Kanda

    Springer Proceedings in Physics   299 - 305   2020

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Part of collection (book)   Publisher:Springer International Publishing  

    DOI: 10.1007/978-3-030-55973-1_37

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  • The Effect of Social Groups on the Dynamics of Bi-Directional Pedestrian Flow: A Numerical Study

    Francesco Zanlungo, Luca Crociani, Zeynep Yücel, Takayuki Kanda

    Springer Proceedings in Physics   307 - 313   2020

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    Publishing type:Part of collection (book)   Publisher:Springer International Publishing  

    DOI: 10.1007/978-3-030-55973-1_38

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  • Intrinsic group behaviour II: On the dependence of triad spatial dynamics on social and personal features; and on the effect of social interaction on small group dynamics Reviewed

    Francesco Zanlungo, Zeynep Yücel, Takayuki Kanda

    PLOS ONE   14 ( 12 )   e0225704 - e0225704   2019.12

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Public Library of Science (PLoS)  

    DOI: 10.1371/journal.pone.0225704

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  • ソフトウェアバグ予測における auto-sklearn の有効性評価 Reviewed

    田中 和也, 門田 暁人, Zeynep Yücel

    コンピュータソフトウェア   36 ( 4 )   46 - 52   2019.11

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    Authorship:Last author   Language:Japanese   Publishing type:Research paper (scientific journal)  

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  • Identification of social relation within pedestrian dyads Reviewed

    Zeynep Yucel, Francesco Zanlungo, Claudio Feliciani, Adrien Gregorj, Takayuki Kanda

    PLOS ONE   14 ( 10 )   e0223656 - e0223656   2019.10

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Public Library of Science (PLoS)  

    DOI: 10.1371/journal.pone.0223656

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  • Effect of Grasping Uniformity on Estimation of Grasping Region from Gaze Data Reviewed

    Pimwalun Witchawanitchanun, Zeynep Yucel, Akito Monden, Pattara Leelaprute

    Proceedings of the 7th International Conference on Human-Agent Interaction   265 - 267   2019.9

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:ACM  

    DOI: 10.1145/3349537.3352787

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  • Quantitative Evaluation of the Relation Between Blink Features and Apparent Task Engagement Reviewed

    Serina Koyama, Zeynep Yucel, Akito Monden

    PERCEPTION   48   731 - 731   2019.9

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:SAGE PUBLICATIONS LTD  

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  • 相関関数を扱うアソシエーションルールの提案とソフトウェア開発データへの適用 Reviewed

    齊藤 英和, 門田 暁人, Zeynep Yücel, 森崎 修司

    コンピュータソフトウェア   36 ( 3 )   47 - 53   2019.8

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

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  • Data Smoothing for Software Effort Estimation Reviewed

    Kento Korenaga, Akito Monden, Zeynep Yucel

    2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)   501 - 506   2019.7

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/snpd.2019.8935841

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  • On Preventing Symbolic Execution Attacks by Low Cost Obfuscation Reviewed

    Toshiki Seto, Akito Monden, Zeynep Yucel, Yuichiro Kanzaki

    2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)   495 - 500   2019.7

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/snpd.2019.8935642

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  • Prediction of Software Defects Using Automated Machine Learning Reviewed

    Kazuya Tanaka, Akito Monden, Zeynep Yucel

    2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)   490 - 494   2019.7

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/snpd.2019.8935839

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  • Assessing the Effect of Varying Word Classes on Behavioral Variables in Technology Mediated Vocabulary Learning Reviewed

    Parisa Supitayakul, Zeynep Yucel, Akito Monden, Pattara Leelaprute

    2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)   226 - 229   2019.7

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/iiai-aai.2019.00052

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  • A Glossary forResearch on Human Crowd Dynamics Reviewed

    Juliane Adrian, Nikolai Bode, Martyn Amos, Mitra Baratchi, Mira Beermann, Maik Boltes, Alessandro Corbetta, Guillaume Dezecache, John Drury, Zhijian Fu, Roland Geraerts, Steve Gwynne, Gesine Hofinger, Aoife Hunt, Tinus Kanters, Angelika Kneidl, Krisztina Konya, Gerta Köster, Mira Küpper, Georgios Michalareas, Fergus Neville, Evangelos Ntontis, Stephen Reicher, Enrico Ronchi, Andreas Schadschneider, Armin Seyfried, Alastair Shipman, Anna Sieben, Michael Spearpoint, Gavin Brent Sullivan, Anne Templeton, Federico Toschi, Zeynep Yücel, Francesco Zanlungo, Iker Zuriguel, Natalie Van der Wal, Frank van Schadewijk, Cornelia von Krüchten, Nanda Wijermans

    CollectiveDynamics   4   1 - 13   2019.3

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Forschungszentrum Julich, Zentralbibliothek  

    This article presents a glossary of terms that are frequently used in research on human crowds. This topic is inherently multidisciplinary as it includes work in and across computer science, engineering, mathematics, physics, psychology and social science, for example. We do not view the glossary presented here as a collection of finalised and formal definitions. Instead, we suggest it is a snapshot of current views and the starting point of an ongoing process that we hope will be useful in providing some guidance on the use of terminology to develop a mutual understanding across disciplines. The glossary was developed collaboratively during a multidisciplinary meeting. We deliberately allow several definitions of terms, to reflect the confluence of disciplines in the field. This also reflects the fact not all contributors necessarily agree with all definitions in this glossary.

    DOI: 10.17815/cd.2019.19

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  • A Signal Processing Perspective on Human Gait: Decoupling Walking Oscillations and Gestures Reviewed

    Adrien Gregorj, Zeynep Yücel, Sunao Hara, Akito Monden, Masahiro Shiomi

    Lecture Notes in Computer Science   75 - 85   2019

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    Authorship:Corresponding author   Language:English   Publishing type:Part of collection (book)   Publisher:Springer International Publishing  

    DOI: 10.1007/978-3-030-26118-4_8

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  • Generation of Mimic Software Project Data Sets for Software Engineering Research Reviewed

    Maohua Gan, Kentaro Sasaki, Akito Monden, Zeynep Yücel

    Proceedings of the 6th International Workshop on Quantitative Approaches to Software Quality co-located with 25th Asia-Pacific Software Engineering Conference (APSEC 2018), Nara, Japan, December 4, 2018.   38 - 43   2018.12

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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:CEUR-WS.org  

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  • Kurtosis and Skewness Adjustment for Software Effort Estimation Reviewed

    Seiji Fukui, Akito Monden, Zeynep Yucel

    2018 25th Asia-Pacific Software Engineering Conference (APSEC)   2018.12

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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/apsec.2018.00065

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  • 移動窓によるソフトウェアバグの行レベル予測の試み Reviewed

    福谷 圭吾, 門田 暁人, Zeynep Yücel, 畑 秀明

    コンピュータソフトウェア   35 ( 4 )   122 - 128   2018.11

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  • Cross-Validation-Based Association Rule Prioritization Metric for Software Defect Characterization Reviewed

    Takashi WATANABE, Akito MONDEN, Zeynep YÜCEL, Yasutaka KAMEI, Shuji MORISAKI

    IEICE Transactions on Information and Systems   E101.D ( 9 )   2269 - 2278   2018.9

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Institute of Electronics, Information and Communications Engineers (IEICE)  

    DOI: 10.1587/transinf.2018edp7020

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  • Extended Association Rule Mining with Correlation Functions Reviewed

    Hidekazu Saito, Akito Monden, Zeynep Yucel

    2018 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD)   79 - 84   2018.7

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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/bcd2018.2018.00020

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  • Predictability Classification for Software Effort Estimation Reviewed

    Naoki Kinoshita, Akito Monden, Masateru Tshunoda, Zeynep Yucel

    2018 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD)   43 - 48   2018.7

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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/bcd2018.2018.00015

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  • Modeling the impact of interaction on pedestrian group motion Invited Reviewed

    Z. Yücel, F. Zanlungo, M. Shiomi

    Advanced Robotics   32 ( 3 )   137 - 147   2018.2

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Informa UK Limited  

    DOI: 10.1080/01691864.2017.1421481

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  • Proceedings of Pedestrian and Evacuation Dynamics 2016 Reviewed

    Weiguo Song, Jian Ma, Libi Fu

    Collective Dynamics   1   243 - 249   2017.12

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Forschungszentrum Julich, Zentralbibliothek  

    The 8th International Conference on Pedestrian and Evacuation Dynamics (PED 2016) has been held on October 17–21, 2016 in Hefei, China. PED 2016 Conference offered an opportunity for professionals and scientists with different backgrounds to present and discuss new findings and applications in the field of pedestrian and evacuation dynamics and associated human behavior. The conference aims to provide suggestions for policy makers, planners, designers and emergency management to solve real world problems.Conference topics included, but was not limited to:Pedestrian movement mechanismsPedestrian behavior during disasters: theories, analysis, conclusionsEvacuation and pedestrian data collection from experiments and real eventsData collection techniquesModel developmentLarge-scale and transport modeling methodsModel validation/calibrationPublic transport transfer terminalsRegional evacuationOperational management of highly populated facilitiesEngineering guidanceCitation:Please cite the full conference proceedings as follows:Song, W., Ma, J., Fu, L.; Proceedings of Pedestrian and Evacuation Dynamics 2016, Collective Dynamics, A11, 1-618 (2016). DOI 10.17815/CD.2016.11Single articles inside the proceedings should be cited as:Authors; Title.In: Proceedings of Pedestrian and Evacuation Dynamics 2016, Collective Dynamics, pages (2016)Example:Dambalmath, P., Muhamad, B., Haug, E., Löhner, R.; Fundamental Diagrams for Specific Very High Density Crowds. In: Proceedings of Pedestrian and Evacuation Dynamics 2016, Collective Dynamics, 6-11 (2016)

    DOI: 10.17815/cd.2016.11

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  • Intrinsic group behaviour: Dependence of pedestrian dyad dynamics on principal social and personal features Reviewed

    Francesco Zanlungo, Zeynep Yücel, Dražen Brščić, Takayuki Kanda, Norihiro Hagita

    PLOS ONE   12 ( 11 )   e0187253 - e0187253   2017.11

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Public Library of Science (PLoS)  

    DOI: 10.1371/journal.pone.0187253

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  • Walk the Talk: Gestures in Mobile Interaction Reviewed

    Zeynep Yücel, Francesco Zanlungo, Masahiro Shiomi

    Social Robotics   220 - 230   2017

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Part of collection (book)   Publisher:Springer International Publishing  

    DOI: 10.1007/978-3-319-70022-9_22

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  • Social Group Motion in Robots Reviewed

    Francesco Zanlungo, Zeynep Yücel, Florent Ferreri, Jani Even, Luis Yoichi Morales Saiki, Takayuki Kanda

    Social Robotics   474 - 484   2017

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    Language:English   Publishing type:Part of collection (book)   Publisher:Springer International Publishing  

    DOI: 10.1007/978-3-319-70022-9_47

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  • An Inference Engine for Estimating Outside States of Clinical Test Items Reviewed

    Masato Sakata, Zeynep Yücel, Kazuhiko Shinozawa, Norihiro Hagita, Michita Imai, Michiko Furutani, Rumiko Matsuoka

    ACM Transactions on Management Information Systems   4 ( 3 )   1 - 21   2013.10

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Association for Computing Machinery (ACM)  

    Common periodical health check-ups include several clinical test items with affordable cost. However, these standard tests do not directly indicate signs of most lifestyle diseases. In order to detect such diseases, a number of additional specific clinical tests are required, which increase the cost of the health check-up. This study aims to enrich our understanding of the common health check-ups and proposes a way to estimate the signs of several lifestyle diseases based on the standard tests in common examinations without performing any additional specific tests. In this manner, we enable a diagnostic process, where the physician may prefer to perform or avoid a costly test according to the estimation carried out through a set of common affordable tests. To that end, the relation between standard and specific test results is modeled with a multivariate kernel density estimate. The condition of the patient regarding a specific test is assessed following a Bayesian framework. Our results indicate that the proposed method achieves an overall estimation accuracy of 84%. In addition, an outstanding estimation accuracy is achieved for a subset of high-cost tests. Moreover, comparison with standard artificial intelligence methods suggests that our algorithm outperforms the conventional methods.


    Our contributions are as follows: (i) promotion of affordable health check-ups, (ii) high estimation accuracy in certain tests, (iii) generalization capability due to ease of implementation on different platforms and institutions, (iv) flexibility to apply to various tests and potential to improve early detection rates.

    DOI: 10.1145/2517084

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  • Joint Attention by Gaze Interpolation and Saliency Reviewed

    Z. Yucel, A. A. Salah, C. Mericli, T. Mericli, R. Valenti, T. Gevers

    IEEE Transactions on Cybernetics   43 ( 3 )   829 - 842   2013.6

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    DOI: 10.1109/tsmcb.2012.2216979

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  • Deciphering the Crowd: Modeling and Identification of Pedestrian Group Motion Reviewed

    Zeynep Yücel, Francesco Zanlungo, Tetsushi Ikeda, Takahiro Miyashita, Norihiro Hagita

    Sensors   13 ( 1 )   875 - 897   2013.1

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    DOI: 10.3390/s130100875

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  • Modeling and Identification of Group Motion via Compound Evaluation of Positional and Directional Cues Reviewed

    Zeynep Yuecel, Takahiro Miyashita, Norihiro Hagita

    International Conference on Pattern Recognition   1172 - 1176   2012.11

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    This paper addresses the problem of identification of pedestrian groups in crowded environments. To that end, positional and directional relations are modeled accounting for different environmental features and group configurations. Subsequently, a pair of simultaneously observed pedestrians is identified to belong to the same group or not utilizing these models in a parallel manner, which defines a compound hypothesis testing scheme. In case of ambiguities, local and global indicators of group relation are employed in quantifying the reliabilities of the two individual decisions. The contribution of this study lies in the improvement in positional and directional relation models to adjust to different environments and group configurations, description of compound evaluation, as well as resolution of ambiguities proposing uncertainty measures based on local and global indicators of group relation.

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    Other Link: http://dblp.uni-trier.de/db/conf/icpr/icpr2012.html#conf/icpr/YiicelMH12

  • Modeling indicators of coherent motion Reviewed

    Zeynep Ycel, Francesco Zanlungo, Tetsushi Ikeda, Takahiro Miyashita, Norihiro Hagita

    2012 IEEE/RSJ International Conference on Intelligent Robots and Systems   2134 - 2140   2012.10

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/iros.2012.6385744

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  • Identification of mobile entities based on trajectory and shape information Reviewed

    Z. Yucel, T. Ikeda, T. Miyashita, N. Hagita

    2011 IEEE/RSJ International Conference on Intelligent Robots and Systems   3589 - 3594   2011.9

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/iros.2011.6094852

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  • Watermarking via zero assigned filter banks Reviewed

    Zeynep Yücel, A. Bülent Özgüler

    Signal Processing   90 ( 2 )   467 - 479   2010.2

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    DOI: 10.1016/j.sigpro.2009.07.012

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  • Joint visual attention modeling for naturally interacting robotic agents Reviewed

    Z. Yucel, A.A. Salah, C. Mericli, T. Mericli

    2009 24th International Symposium on Computer and Information Sciences   242 - 247   2009.9

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/iscis.2009.5291820

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  • Resolution of focus of attention using gaze direction estimation and saliency computation Reviewed

    Zeynep Yucel, Albert Ali Salah

    2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops   1 - 6   2009.9

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/acii.2009.5349547

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  • Head Pose and Neural Network Based Gaze Direction Estimation for Joint Attention Modeling in Embodied Agents Reviewed

    Zeynep Yucel, Albert Ali Salah

    The Annual Meeting of Cognitive Science Society   3139 - 3144   2009.7

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  • Robustifying eye center localization by head pose cues Reviewed

    Roberto Valenti, Zeynep Yucel, Theo Gevers

    2009 IEEE Conference on Computer Vision and Pattern Recognition   612 - 618   2009.6

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/cvpr.2009.5206640

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  • Automated discrimination of psychotropic drugs in mice via computer vision-based analysis Reviewed

    Zeynep Yucel, Yidirim Sara, Pinar Duygulu, Rustu Onur, Emre Esen, A. Bulent Ozguler

    JOURNAL OF NEUROSCIENCE METHODS   180 ( 2 )   234 - 242   2009.6

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:ELSEVIER SCIENCE BV  

    We developed an inexpensive computer vision-based method utilizing an algorithm which differentiates drug-induced behavioral alterations. The mice were observed in an open-field arena and their activity was recorded for 100 min. For each animal the first 50 min of observation were regarded as the drug-free period. Each animal was exposed to only one drug and they were injected (i.p.) with either amphetamine or cocaine as the stimulant drugs or morphine or diazepam as the inhibitory agents. The software divided the arena into virtual grids and calculated the number of visits (sojourn counts) to the grids and instantaneous speeds within these grids by analyzing video data. These spatial distributions of sojourn counts and instantaneous speeds were used to construct feature vectors which were fed to the classifier algorithms for the final step of matching the animals and the drugs. The software decided which of the animals were drug-treated at a rate of 96%. The algorithm achieved 92% accuracy in sorting the data according to the increased or decreased activity and then determined which drug was delivered. The method differentiated the type of psychostimulant or inhibitory drugs with a success ratio of 70% and 80%, respectively. This method provides a new way to automatically evaluate and classify drug-induced behaviors in mice. Crown Copyright (C) 2009 Published by Elsevier B.V. All rights reserved.

    DOI: 10.1016/j.jneumeth.2009.03.014

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  • Detection of epileptic indicators on clinical subbands of EEG. Reviewed

    Zeynep Yücel, Özgüler

    2008 16th European Signal Processing Conference, EUSIPCO 2008, Lausanne, Switzerland, August 25-29, 2008   1 - 5   2008.8

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    Other Link: http://dblp.uni-trier.de/db/conf/eusipco/eusipco2008.html#conf/eusipco/YucelO08

  • An image watermarking algorithm via zero assigned filter banks Reviewed

    Z. Yucel, A.B. Ozguler

    Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.   363 - 368   2005.9

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    DOI: 10.1109/isspit.2005.1577124

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  • An Audio Watermarking Algorithm via Zero Assigned Filter Banks Reviewed

    Zeynep Yucel, Arif Bulent Ozguler

    European Signal Processing Conference   1 - 4   2005.8

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MISC

  • Some considerations on crowd Congestion Level

    Francesco Zanlungo, Claudio Feliciani, Zeynep Yucel, Katsuhiro Nishinari, Takayuki Kanda

    arXiv: 2004.01883   2020.4

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    Language:English   Publishing type:Rapid communication, short report, research note, etc. (scientific journal)  

    The concept of (crowd) Congestion Level ($CL$) was introduced in Feliciani et
    al (Transportation Research, 2018) and presented at the PED 2018 conference by
    C. Feliciani. Following the PED presentation, along with appreciation for the
    novel contribution, a few interesting questions were raised, concerning the
    integral/differential nature of the definition of $CL$, and the possibility of
    defining a related pure number. In these short notes we are going, although
    with no attempt at rigour or formality, to present some considerations
    suggesting that the two problems are related, and providing a possible
    solution. Furthermore, using both theoretical arguments and analysis of
    simulated data in complex scenarios, we will try to shed further light on the
    meaning and applications of this concept. Finally, we analyse some results of
    an experiment performed with human participants in a ``crossing-flows''
    scenario.

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    Other Link: http://arxiv.org/pdf/2004.01883v1

  • Estimation of affect scores accounting for user responsiveness

    Hoang Nguyen, Serina Koyama, Zeynep Yucel, Akito Monden, Mariko Sasakura

    Annual Conference of the Robotics Society of Japan   36th   ROMBUNNO.1I2‐01   2018.9

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  • 計算機上のソフトウェア開発作業の自動推定の検討

    清水良介, 門田暁人, Zeynep Yucel, 上野 秀剛

    30 - 31   2018.1

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  • Calibration of distributed multimodal sensor networks using cross‐correlation of arrival processes

    Parisa Supitayakul, Zeynep Yucel, Francesco Zanlungo, Akito Monden, Pattara Leelaprute

    Annual Conference of the Robotics Society of Japan   35th   ROMBUNNO.1C3‐05   2017.9

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  • Autonomous vehicles moving as a human group

    Francesco Zanlungo, Zeynep Yucel, Florent Ferreri, Jani Even, Luis Yoichi Morales Saiki, Takayuki Kanda

    IEEE/RSJ International Conference on Intelligent Robots and Systems   2017.9

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  • Modeling effect of interaction on motion patterns of pedestrian groups

    Zeynep Yucel, Francesco Zanlungo, 塩見昌裕

    Annual Conference of the Robotics Society of Japan   3W2-04   2016.7

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  • Derivation of gaze direction from head pose estimates Reviewed

    Zeynep Yucel, Albert Ali Salah, Cetin Mericli, Tekin Mericli

    2010 IEEE 18th Signal Processing and Communications Applications Conference   224 - 227   2010.4

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    Authorship:Lead author, Corresponding author   Language:Turkish   Publishing type:Research paper, summary (national, other academic conference)   Publisher:IEEE  

    DOI: 10.1109/siu.2010.5652736

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  • Cylindrical model based head pose estimation for drivers Reviewed

    Zeynep Yucel, Roberto Valenti, Nicu Sebe

    2009 IEEE 17th Signal Processing and Communications Applications Conference   213 - 216   2009.4

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    Authorship:Lead author, Corresponding author   Language:Turkish   Publishing type:Research paper, summary (national, other academic conference)   Publisher:IEEE  

    DOI: 10.1109/siu.2009.5136370

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  • Detection of epilepsy seizures and epileptic indicators in EEG signals Reviewed

    Zeynep Yucel, A. Bulent Ozguler

    2008 IEEE 16th Signal Processing, Communication and Applications Conference   1 - 4   2008.4

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    Authorship:Lead author, Corresponding author   Language:Turkish   Publishing type:Research paper, summary (national, other academic conference)   Publisher:IEEE  

    DOI: 10.1109/siu.2008.4632759

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  • Computer Vision Based Classification of Videos of Mice Under The Influence of Several Psychotropic Drugs

    Zeynep Yücel, Emre Esen, Pinar Duygulu, Yildirim Sara, Rustu Onur, A. Bülent Ozguler

    National Congress of Pharmacology   2007.10

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  • Discrimination of pharmaceutical agents that cause locomotor activity changes in mice using computer software

    Emre Esen, Zeynep Yücel, Yildirim Sara, Pinar Duygulu, Rustu Onur

    2007.10

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  • Color and Grey Level Image Watermarking via Zero Assigned Filter Banks Reviewed

    Z. Yucel, A.B. Ozguler

    2006 IEEE 14th Signal Processing and Communications Applications   1 - 4   2006.4

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    Authorship:Lead author, Corresponding author   Language:Turkish   Publishing type:Research paper, summary (national, other academic conference)   Publisher:IEEE  

    DOI: 10.1109/siu.2006.1659862

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Presentations

  • Investigating effect of stimulus modality on recollection rate in e-learning systems

    Parisa Supitayakul, Zeynep Yucel, Akito Monden, Pattara Leelaprute

    2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)  2020.9  IEEE

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    Event date: 2020.9

    Language:English   Presentation type:Oral presentation (general)  

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  • Pedestrian Models for Robot Motion

    Francesco Zanlungo, Florent Ferreri, Jani Even, Luis Yoichi Morales, Zeynep Yücel, Takayuki Kanda

    Collective Dynamics  2020.8.12  Forschungszentrum Julich, Zentralbibliothek

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    Event date: 2020.8.12

    Language:English   Presentation type:Oral presentation (general)  

    We discuss the development of a robot system able to replicate human group motion and show how a pedestrian model may be converted to a robot control system in order to achieve this goal.

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  • Social group behaviour of triads. Dependence on purpose and gender

    Francesco Zanlungo, Zeynep Yücel, Takayuki Kanda

    Collective Dynamics  2020.3.27  Forschungszentrum Julich, Zentralbibliothek

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    Event date: 2020.3.27

    Language:English  

    We analysed a set of uninstructed pedestrian trajectories automatically tracked in a public area, and we asked a human coder to assess their group relationships. For those pedestrians who belong to the groups, we asked the coder to identify their apparent purpose of visit to the tracking area and apparent gender. We studied the quantitative dependence of the group dynamics on such properties in the case of triads (three people groups) and compared them to the two pedestrian group case (dyads), studied in a previous work. We found that the group velocity strongly depends on relation and gender for both triads and dyads, while the influence of these properties on spatial structure of groups is less clear in the triadic case. We discussed the relevance of these results to the modelling of pedestrian and crowd dynamics, and examined the possibility of the future works on this subject.

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  • Estimating social relation from trajectories

    Zeynep Yucel, Francesco Zanlungo, Claudio Feliciani, Adrien Gregorj, Takayuki Kanda

    Collective Dynamics  2020.3.27  Forschungszentrum Julich, Zentralbibliothek

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    Event date: 2020.3.27

    Language:English   Presentation type:Oral presentation (general)  

    This study focuses on social pedestrian groups in public spaces and makes an effort to identify the social relation between the group members. We particularly consider dyads having coalitional or mating relation. We derive several observables from individual and group trajectories, which are suggested to be distinctive for these two sorts of relations and propose a recognition algorithm taking these observables as features and yielding an estimation of social relation in a probabilistic manner at every sampling step. On the average, we detect coalitional relation with 87% and mating relation with 81% accuracy. To the best of our knowledge, this is the first study to infer social relation from joint (loco)motion patterns and we consider the detection rates to be a satisfactory considering the inherent challenge of the problem.

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  • Gender Profiling of Pedestrian Dyads

    Zeynep Yücel, Francesco Zanlungo, Takayuki Kanda

    Springer Proceedings in Physics  2020  Springer International Publishing

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    Event date: 2020

    Language:English  

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  • Effect of Grasping Uniformity on Estimation of Grasping Region from Gaze Data

    Pimwalun Witchawanitchanun, Zeynep Yucel, Akito Monden, Pattara Leelaprute

    Proceedings of the 7th International Conference on Human-Agent Interaction  2019.9.25  ACM

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    Event date: 2019.9.25

    Language:English  

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  • Quantitative Evaluation of the Relation Between Blink Features and Apparent Task Engagement

    Serina Koyama, Zeynep Yucel, Akito Monden

    PERCEPTION  2019.9  SAGE PUBLICATIONS LTD

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    Event date: 2019.9

    Language:English  

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  • Assessing the Effect of Varying Word Classes on Behavioral Variables in Technology Mediated Vocabulary Learning

    Parisa Supitayakul, Zeynep Yucel, Akito Monden, Pattara Leelaprute

    2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)  2019.7  IEEE

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    Event date: 2019.7

    Language:English  

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  • On Preventing Symbolic Execution Attacks by Low Cost Obfuscation

    Toshiki Seto, Akito Monden, Zeynep Yucel, Yuichiro Kanzaki

    2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)  2019.7  IEEE

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    Event date: 2019.7

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  • Prediction of Software Defects Using Automated Machine Learning

    Kazuya Tanaka, Akito Monden, Zeynep Yucel

    2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)  2019.7  IEEE

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  • Data Smoothing for Software Effort Estimation

    Kento Korenaga, Akito Monden, Zeynep Yucel

    2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)  2019.7  IEEE

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    Event date: 2019.7

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  • A Signal Processing Perspective on Human Gait: Decoupling Walking Oscillations and Gestures

    Adrien Gregorj, Zeynep Yücel, Sunao Hara, Akito Monden, Masahiro Shiomi

    Lecture Notes in Computer Science  2019  Springer International Publishing

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    Event date: 2019

    Language:English  

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  • Kurtosis and Skewness Adjustment for Software Effort Estimation

    Seiji Fukui, Akito Monden, Zeynep Yucel

    2018 25th Asia-Pacific Software Engineering Conference (APSEC)  2018.12  IEEE

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    Event date: 2018.12

    Language:English  

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  • Generation of Mimic Software Project Data Sets for Software Engineering Research

    Maohua Gan, Kentaro Sasaki, Akito Monden, Zeynep Yücel

    Proceedings of the 6th International Workshop on Quantitative Approaches to Software Quality co-located with 25th Asia-Pacific Software Engineering Conference (APSEC 2018), Nara, Japan, December 4, 2018.  2018.12  CEUR-WS.org

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    Event date: 2018.12

    Language:English  

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  • Predictability Classification for Software Effort Estimation

    Naoki Kinoshita, Akito Monden, Masateru Tshunoda, Zeynep Yucel

    2018 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD)  2018.7  IEEE

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    Event date: 2018.7

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  • Extended Association Rule Mining with Correlation Functions

    Hidekazu Saito, Akito Monden, Zeynep Yucel

    2018 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD)  2018.7  IEEE

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    Event date: 2018.7

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  • Walk the Talk: Gestures in Mobile Interaction

    Zeynep Yücel, Francesco Zanlungo, Masahiro Shiomi

    Social Robotics  2017  Springer International Publishing

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    Event date: 2017

    Language:English  

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  • Social Group Motion in Robots

    Francesco Zanlungo, Zeynep Yücel, Florent Ferreri, Jani Even, Luis Yoichi Morales Saiki, Takayuki Kanda

    Social Robotics  2017  Springer International Publishing

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    Event date: 2017

    Language:English  

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  • Modeling and Identification of Group Motion via Compound Evaluation of Positional and Directional Cues

    Zeynep Yuecel, Takahiro Miyashita, Norihiro Hagita

    International Conference on Pattern Recognition  2012.11  IEEE

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    Event date: 2012.11

    Language:English  

    This paper addresses the problem of identification of pedestrian groups in crowded environments. To that end, positional and directional relations are modeled accounting for different environmental features and group configurations. Subsequently, a pair of simultaneously observed pedestrians is identified to belong to the same group or not utilizing these models in a parallel manner, which defines a compound hypothesis testing scheme. In case of ambiguities, local and global indicators of group relation are employed in quantifying the reliabilities of the two individual decisions. The contribution of this study lies in the improvement in positional and directional relation models to adjust to different environments and group configurations, description of compound evaluation, as well as resolution of ambiguities proposing uncertainty measures based on local and global indicators of group relation.

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    Other Link: http://dblp.uni-trier.de/db/conf/icpr/icpr2012.html#conf/icpr/YiicelMH12

  • Modeling indicators of coherent motion

    Zeynep Ycel, Francesco Zanlungo, Tetsushi Ikeda, Takahiro Miyashita, Norihiro Hagita

    2012 IEEE/RSJ International Conference on Intelligent Robots and Systems  2012.10  IEEE

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    Event date: 2012.10

    Language:English  

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  • Identification of mobile entities based on trajectory and shape information

    Z. Yucel, T. Ikeda, T. Miyashita, N. Hagita

    2011 IEEE/RSJ International Conference on Intelligent Robots and Systems  2011.9  IEEE

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    Event date: 2011.9

    Language:English  

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  • Resolution of focus of attention using gaze direction estimation and saliency computation

    Zeynep Yucel, Albert Ali Salah

    2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops  2009.9  IEEE

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    Event date: 2009.9

    Language:English  

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  • Joint visual attention modeling for naturally interacting robotic agents

    Z. Yucel, A.A. Salah, C. Mericli, T. Mericli

    2009 24th International Symposium on Computer and Information Sciences  2009.9  IEEE

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    Event date: 2009.9

    Language:English  

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  • Head Pose and Neural Network Based Gaze Direction Estimation for Joint Attention Modeling in Embodied Agents

    Zeynep Yucel, Albert Ali Salah

    The Annual Meeting of Cognitive Science Society  2009.7 

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    Event date: 2009.7

    Language:English  

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  • Robustifying eye center localization by head pose cues

    Roberto Valenti, Zeynep Yucel, Theo Gevers

    2009 IEEE Conference on Computer Vision and Pattern Recognition  2009.6  IEEE

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    Event date: 2009.6

    Language:English  

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  • Detection of epileptic indicators on clinical subbands of EEG.

    Zeynep Yücel, Özgüler

    2008 16th European Signal Processing Conference, EUSIPCO 2008, Lausanne, Switzerland, August 25-29, 2008  2008.8  IEEE

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  • An image watermarking algorithm via zero assigned filter banks

    Z. Yucel, A.B. Ozguler

    Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.  2005.9  IEEE

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    Event date: 2005.9

    Language:English  

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  • An Audio Watermarking Algorithm via Zero Assigned Filter Banks

    Zeynep Yucel, Arif Bulent Ozguler

    European Signal Processing Conference  2005.8 

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    Event date: 2005.8

    Language:English  

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  • Interaction in Dynamic Scenarios of HRI Invited

    Zeynep Yucel

    Istanbul Technical University, Department of Computer Science  2019.8.19 

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  • Considerations in the design of social interaction robots Invited

    Linnaeus University, Department of Computer Science and Media Technology  2018.8.20 

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  • Human behavior understanding for social robotics Invited

    Nishinari Lab, Tokyo University  2017.12.11 

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  • Interaction in Static and Dynamic Scenarios of HRI Invited

    Department of Information Eng. and Computer Science University of Trento  2017.9.1 

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  • Pedestrian Group Interaction for Social Robotics Applications Invited

    Dipart. Informatica Sistemistica e Comunicazione Milano Bicocca University  2017.8.28 

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  • Social Interaction Robots Invited

    Hacettepe Universitesi BYO Summer School  2017.8.23 

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Awards

  • Honorable Mention Award

    2022.7   International Conference on Smart Computing and Artificial Intelligence (SCAI 2022)   A computationally efficient approach for solving RBSC-based formulation of the subset selection problem

    Kohei Furuya, Zeynep Yücel, Parisa Supitayakul, Akito Monden

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  • Outstanding Paper Award

    2022.7   International Conference on Learning Technologies and Learning Environments (LTLE 2022)   Investigating the effect of various types of audio reinforcement on memory retention

    Parisa Supitayakul, Zeynep Yücel, Misato Nose, Akito Monden

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  • Cutting Edge of Robotics in Japan

    2017  

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    Country:Japan

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  • Seal of excellence

    2016  

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Research Projects

  • Research and development for mobile HRI and its interaction design theory

    Grant number:18H04121  2018.04 - 2022.03

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A)  Grant-in-Aid for Scientific Research (A)

    神田 崇行, 佐竹 聡, 塩見 昌裕, ZANLUNGO Frances, Yucel Zeynep, 野村 竜也

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    Grant amount:\43420000 ( Direct expense: \33400000 、 Indirect expense:\10020000 )

    本研究は、ヒューマンロボットインタラクション(HRI)の研究課題の中で、人々とロボットの互いが移動しながらの状況でのインタラクション、すなわちモバイルHRI、の研究に取り組むものである。「モバイルHRIの基礎となる認識技術とナビゲーション技術の実現」と「人々の認知的特性の解明とインタラクション設計、実証実験」の2つの研究課題を設定して研究に取り組んできた。
    2年目である本年度は、「モバイルHRIの基礎となる認識技術とナビゲーション技術の実現」に関しては、シミュレーション環境の中でモバイルHRIの場面を再現し、意図の認識や、ナビゲーションを行うモジュールの開発への利用を進めた。また、歩行時における人の意図認識に重要となる、歩行中腕動作の有無を推定する技術の研究開発に取り組んだ。
    「人々の認知的特性の解明とインタラクション設計、実証実験」に関しては、ロボットの存在効果について、対人不安の強い人間において人よりもロボットとの対話が好まれる傾向を実験的に検証した。また、現在の視覚情報と会話の受け答えに基づき、歩行中の雑談トピックを選択する仕組みに関する研究を進めた。HRIにおけるジェンダー研究の社会的影響についても考察を行った。また、ツアーガイドのように非明示的に進路を伝えながらも互いに会話しながら移動するロボットの実装を進め、このロボットに関するモバイルHRIの場面でのインタラクションのフィールド実験の準備も進めている。

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  • Automatic detection of level of students' engagement

    Grant number:18K18168  2018.04 - 2021.03

    日本学術振興会  科学研究費助成事業 若手研究  若手研究

    Yucel Zeynep

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    Grant amount:\3380000 ( Direct expense: \2600000 、 Indirect expense:\780000 )

    We decided to build empirical models for the four behavioral variables derived from facial landmarks. To that end, we used kernel density estimation. In addition, we considered the extremities of engagement level (fully engaged and completely disengaged) as benchmark states. In that respect, we obtained 8 models corresponding to the pair of each of the four behavioral variables and two benchmark states.
    <BR>
    We then proposed a probabilistic method for estimating level of engagement. In that respect, each feature value is evaluated in its two corresponding models representing the benchmark states. Making use of the fact that these are complementary, we computed the probability of engagement.
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    Our results indicate that, the features provide considerable accuracy for distinguishing the two (benchmark) states.

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  • 自律型エージェントのための人らしい振る舞いとインタラクションの設計

    Grant number:16J40223  2016.04 - 2020.03

    日本学術振興会  科学研究費助成事業 特別研究員奨励費  特別研究員奨励費

    YUCEL Zeynep, YUCEL ZEYNEP

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    Grant amount:\3250000 ( Direct expense: \2500000 、 Indirect expense:\750000 )

    I published the research achievements of this projects in two conference papers. Basically, the following findings are the important points of these papers which demonstrate academic significance:
    i. Group recognition: The motion models developed for recognising pedestrian groups are applied to our dataset and it is demonstrated that the group recognition algorithm works with significant accuracy in the presence of strong flow direction, low-to-medium density and for multi-person groups.
    ii. Interaction recognition: An interaction recognition stage is integrated into the group recognition method and it is demonstrated that considerable rates of performance are achieved.
    iii. Indicators of various gestures: The indicators of coherent motion are investigated with respect to the gestures of interaction and it is demonstrated that different gestures yield different motion patterns.
    iv. Variation on motion patterns with respect to interacting peers: The groups are analysed with respect to the interacting side (peer) and it is demonstrated that the peer who is active in interaction is positioned behind within 2-people (2p) groups to have his partner in the field of view. In addition, the not-interacting groups are observed to keep a more disperse distribution compared to interacting groups.

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