Faculty Profiles - HARA Sunao

MISC - HARA Sunao

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A measure for transfer tendency between staying places

116 ( 23 ) 95 - 100 2016.5

A watching method to protect users' privacy using living area

115 ( 409 ) 19 - 24 2016.1

A classification method for crowded situation using environmental sounds based on Gaussian mixture model-universal background model Reviewed

Tomoyasu Tanaka, Sunao Hara, Masanobu Abe

The Journal of the Acoustical Society of America 140 ( 4 ) 3110 - 3110 2016

Method to efficiently retrieve memorable scenes from video using automatically collected life log

115 ( 27 ) 23 - 28 2015.5

Method to efficiently retrieve memorable scenes from video using automatically collected life log

IPSJ SIG Notes 2015 ( 4 ) 1 - 6 2015.5

Language：Japanese Publisher：Information Processing Society of Japan (IPSJ)

One of the applications using life log is to retrieve memorable scenes. In this paper, for extracting memorable scenes from video, we propose a method to use life log that are automatically collected together with video during an event. Here, data in life log are GPS, pulse and sound. Three kinds of important points are extracted from the three data, and based on the important points, particular parts of video are extracted. According to subjective evaluation experiments, it is revealed that users can easily remember things by watching the extracted video and can remember details of the events including what were not recorded in the video.

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A "a big day" search method using features of staying place

HAYASHI Keigo, HARA Sunao, ABE Masanobu

IEICE technical report. Life intelligence and office information systems 114 ( 500 ) 89 - 94 2015.3

Language：Japanese Publisher：The Institute of Electronics, Information and Communication Engineers

In recent years, a life log is getting popular and used to provide specific services for a particular person. One of them is to retrieve memories. Life log helps us to recall events, activities, accidents, etc., but the huge amount of data in life log make it difficult for us to find out what we really want. In this paper, we propose a method to retrieve "a big day" using a feature value that is calculated from GPS data; i.e., the feature is defined as function of visiting frequency of places. According to experiments results, the proposed method can retrieve "a big day" at a rate of 60% and unusual day at a rate of 90%. As subjective evaluations were also carried out from the perspective of effectiveness, efficiency and satisfaction. The results showed that the proposal method has better performance than a conventional method.

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Living area extraction using staying places and routes

MATSUO Yuji, HARA Sunao, ABE Masanobu

IEICE technical report. Life intelligence and office information systems 114 ( 500 ) 77 - 82 2015.3

Language：Japanese Publisher：The Institute of Electronics, Information and Communication Engineers

In these days, demands for watching out for the safety of elderly and children are extremely increasing. To make the quality of the watching better, we think that living area plays an important role. Therefore, in this paper, we propose an algorithm to estimate living area of a person from his/her accumulated GPS data. The living area is defined by important places and routes. First, taking visiting frequency into account, important places are extracted, then routes are found so as to connect the important places using best-first search. Experiments are carried out for 3 users and evaluated by precision and recall. We confirmed that the proposed algorithm has better performance than a conventional method.

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Behavior analysis of persons by classification of moving routes

SETO Ryo, HARA Sunao, ABE Masanobu

IEICE technical report. Life intelligence and office information systems 114 ( 500 ) 31 - 36 2015.3

Language：Japanese Publisher：The Institute of Electronics, Information and Communication Engineers

In this paper, we propose a method to behavior analysis of persons using GPS data to focus on how human have activity. We evaluated whether or not judging a person is active or not from moving routes data using PCA or NMF classification approach. The evaluation results show that the number of important eigenvalues by PCA and approximation error by NMF is effective whether the person is active or not. In addition, we extracted the pattern of moving routes and we evaluated the difference of moving routes extracted by PCA or NMF. As a result, PCA extracted high frequency patterns. On the other hand, NMF extracted not only high frequency patterns but also low frequency patterns.

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FLAG: Lifelog aggregation system that was centered on position information

2014 ( 6 ) 1 - 6 2014.7

Language：Japanese Publisher：Information Processing Society of Japan (IPSJ)

Recently, the application and the service which utilize location information from GPS have highly prevailed. In this paper, we developed the system called FLAG which aggregates the variety of Lifelog under location information. FLAG manages location information discriminate between moving and staying. With using FLAG, we visualize categorized location information on the map and the time table. And implement set the function which registers individual name according to users in the staying state. We also link the location information from FLAG to Twitter using the posting time for an example of aggregating various kinds of Lifelog, This function enables Lifelog to show on the map even if the Lifelog has no positional information. For an evaluation of the FLAG system, we created correct data of staying by six users. And we compared accuracies of staying by using two detection methods. As a result, we confirmed that FLAG can be detected high accuracy staying than the original data.

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Other Link： http://id.nii.ac.jp/1001/00102345/

FLAG : Lifelog aggregation system that was centered on position information

IEICE technical report. SC, Services Computing 114 ( 157 ) 29 - 34 2014.7

Language：Japanese Publisher：The Institute of Electronics, Information and Communication Engineers

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Development of environmental sound collection system using smart devices based on crowd-sourcing approach

HARA Sunao, KASAI Akinori, ABE Masanobu, SONEHARA Noboru

IEICE technical report. Speech 114 ( 52 ) 177 - 180 2014.5

Language：Japanese Publisher：The Institute of Electronics, Information and Communication Engineers

In this study, we aimed to construct environmental sound database for various sounds as Wisdom of the crowds. For example, considering environmental noise-pollution problems as a kind of the environmental sound, we need to consider not only signature sound, e.g. car noise and railway noise, but also life-space noise, e.g. festivity noise on streets or in parks. However, daily/widely sound collection is difficult to substantiate by few participant. Therefore, we aimed to measure environmental sound covered a vast area by applying crowdsourcing approach. First, we develop a prototype application which is run on the smart device with Android OS, and then we develop a prototype server system for collection and browsing the collected sound data. Then, we calibrated noise level measured by smart devices and carried out a sound collection experiment for validate an accuracy of sensors on the smart devices. In this report, we introduce the environemental sound collection system and the sound-collection experiment using the system.

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Preliminary study for behavior analysis based on degree of nodes in a network constructed from GPS data

2014 ( 6 ) 1 - 6 2014.5

Language：Japanese Publisher：Information Processing Society of Japan (IPSJ)

We discuss a behavior-anaysis method based on strucural features in networks constructed from a personal location history. In this paper, a directed network constructed from GPS location history is called a stay network. Stay network treat set of stay extratcted from the location history as nodes in networks. Generally, nodes of directed networks have out-degrees and in-degrees as structural features. The stay network has biased values of out-degrees, in-degrees and their ratio. Therefore, we assumed existance of relationships between the degree of biased values and human behaviors in the stay, and analyzed the relationships. We forcused on a purpose of the stay, which is assumed to be occur as a result of human behavior, and particularly analyzed relationships between the degree of biased values and the purpose of the stay.

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Development of environmental sound collection system using smart devices based on crowd-sourcing approach

2014 ( 36 ) 1 - 4 2014.5

Influence analysis on user's workload in a spoken dialog strategy for a car navigation system

Masaki Yamaoka, Sunao Hara, Masanobu Abe

IPSJ SIG Notes 2014 ( 7 ) 1 - 6 2014.5

Language：Japanese Publisher：Information Processing Society of Japan (IPSJ)

We assess dialog strategies from user's workload standpoint to suggest usage of spoken dialog systems while driving. We evaluate several dialog strategies, which are combinations of methods of dialog initiative and confirmation manner, with objective evaluation method using computer simulation. Two conditions of the simulation are set up; One is that the system speaks if the user has leeway to talk with the system, and the another one is that the system speaks even if the user will be fail to recognize the system's. We also evaluate spoken dialog systems applying these methods with subjective evaluation method. As a result of the evaluations, user initiative strategy has advantages in lower turn number and lower task completion rate than both system initiative strategy and mixed initiative strategies when cognitive rate is high. The result also shows that system initiative strategy and mixed initiative strategy have advantages in lower turn number and lower task completion rate than user initiative strategy when cognitive rate is low. Additionally, the result shows that the method, which system speaks only when user has enough time driving operation, makes user's workload low, however, it need more time to complete tasks.

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Working Patterns Extractions by Applying Nonnegative Matrix Factorization to PC Operation Logs

HIRAYAMA Akihiko, HARA Sunao, ABE Masanobu

IEICE technical report. Life intelligence and office information systems 114 ( 32 ) 33 - 38 2014.5

Language：Japanese Publisher：The Institute of Electronics, Information and Communication Engineers

In this paper, we tried to extract working patterns by nonnegative matrix factorization using PC operation logs. Experiments were carried out for three occupations, in terms of daily-basis working patterns, we successfully extracted particular patterns for each occupation and some common working patterns for all occupations. We also presented that the extracted patterns can be easily interpreted as the ways of working.

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Influence analysis on user's workload in a spoken dialog strategy for a car navigation system

Masaki Yamaoka, Sunao Hara, Masanobu Abe

IPSJ SIG Notes 2014 ( 7 ) 1 - 6 2014.5

Language：Japanese Publisher：Information Processing Society of Japan (IPSJ)

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Working Patterns Extractions by Applying Nonnegative Matrix Factorization to PC Operation Logs

2014 ( 6 ) 1 - 6 2014.5

Working Patterns Extractions by Applying Nonnegative Matrix Factorization to PC Operation Logs

2014 ( 6 ) 1 - 6 2014.5

滞在地の特徴量を利用した「特別な日」検索方式の検討

林啓吾, 原直, 阿部匡伸

第76回全国大会講演論文集 2014 ( 1 ) 459 - 460 2014.3

Language：Japanese

ライフログとは，人間の行動をデジタルデータとして記録に残すことである．ライフログデータを用いて自分の行動を振り返ることを考える．例えば，現在広く普及しているSocial Networking Service（SNS）の過去の発言や写真を見返すことで，振り返りが可能であるが，それらに記録するのは自分の意志で記録したいと思ったことに限られてしまうという問題点がある．無意識に記録できるライフログデータの一つに，Global Positioning System (GPS) による位置情報データ（GPS データ）があげられる．本研究では，GPSデータから得られる滞在地の特徴量を利用し，振り返りたいと感じる「特別な日」を検索する方式を提案した．評価実験により，提案方式で「特別な日」が高い精度で検索可能であることが示された．

松尾雄二, 原直, 阿部匡伸

第76回全国大会講演論文集 2014 ( 1 ) 37 - 38 2014.3

Language：Japanese

近年、高齢者による徘徊行動が社会問題となっている。既存の見守りシステムではあらかじめ行動範囲を設定する必要があり、その範囲も詳細に決定できないため十分な見守りが不可能である。そこで、本研究では蓄積したGPSデータを用いて見守りシステムに応用するための生活圏(行動範囲)を抽出する方法を検討する。GPSデータに含まれる位置情報(緯度経度)をGEOHEXを用いてHEXコードという量子化符号に変換する。それらのHEXコードを滞在地と経路に分類し、頻度の高いHEXコードをそれぞれの生活圏として抽出し、滞在地に属するデータの生活圏と経路に属するデータの生活圏の整合性を評価した。

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