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論文 - 河口　信夫

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HASC challenge: Gathering large scale human activity corpus for the real-world activity understandings 査読有り Open Access

Kawaguchi N., Ogawa N., Iwasaki Y., Kaji K., Terada T., Murao K., Inoue S., Kawahara Y., Sumi Y., Nishio N.

ACM International Conference Proceeding Series ( Article 27 ) 頁： 27 2011年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：ACM International Conference Proceeding Series

Understandings of human activity through wearable sensors will enable the next-generation human-oriented computing. However, most of researches on the activity recognition so far are based on small number of test subjects, and not well adapted for real world applications. To overcome the situation, we have started a project named "HASC Challenge" to collect a large scale human activity corpus. By the end of 2010, by the collaboration of 20 teams, more than 6700 accelerometer data with 540 subjects have been collected through our project. We also developed a tool named "HASC Tool" for management, evaluation and collection of the large number of activity sensor data. Copyright 2011 ACM.

DOI： 10.1145/1959826.1959853

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その他リンク： http://dblp.uni-trier.de/db/conf/aughuman/aughuman2011.html#conf/aughuman/KawaguchiOIKTMIKSN11

HASC2011corpus: Towards the Common Ground of Human Activity Recognition

Kawaguchi Nobuo, Yang Ying, Yang Tianhui, Ogawa Nobuhiro, Iwasaki Yohei, Kaji Katsuhiko, Terada Tsutomu, Murao Kazuya, Inoue Sozo, Kawahara Yoshihiro, Sumi Yasuyuki, Nishio Nobuhiko

UBICOMP'11: PROCEEDINGS OF THE 2011 ACM INTERNATIONAL CONFERENCE ON UBIQUITOUS COMPUTING 頁： 571-572 2011年

Distributed Human Activity Data Processing using HASC Tool

Kawaguchi Nobuo, Ogawa Nobuhiro, Iwasaki Yohei, Kaji Katsuhiko

UBICOMP'11: PROCEEDINGS OF THE 2011 ACM INTERNATIONAL CONFERENCE ON UBIQUITOUS COMPUTING 頁： 603-604 2011年

Quantitative simulation of XCAST6 performance using OMNeT++ 査読有り

Abade O., Kaji K., Kawaguchi N.

Asian Internet Engineeering Conference, AINTEC 2011 頁： 22 - 29 2011年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：Asian Internet Engineeering Conference, AINTEC 2011

Explicit multiunicast (XCAST) is a form of small group multicast in which the sender embeds IP addresses of all receiving nodes in a special header and sends it with all data packets. On sending, each XCAST-aware router in the path examines the packet and partitions the destinations into various sets based on their next hops. For each set, the router uses a bitmap in the packet header to ensure that each copy of the packet is delivered only to destinations whose corresponding bits in the bitmap are set to 1. Sometimes real world implementation of XCAST6 can take a long time to deploy and resource constraints can limit the scale of testing that can be done. We have therefore integrated XCAST6 into the IPv6 stack of INET Framework for OMNeT++ to allow for large-scale, exhaustive and realistic investigation of XCAST6 characteristics and to complement our current research into real world deployment of XCAST6. The contribution of this paper is two fold. First, it describes our implementation of XCAST6 in OMNeT++'s INET framework. Secondly, it experimentally shows the effectiveness of XCAST6 with regards to various multicast performance metrics such as stress, end-to-end delay, efficiency and packet processing overhead rate.

DOI： 10.1145/2089016.2089021

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その他リンク： http://dblp.uni-trier.de/db/conf/aintec/aintec2011.html#conf/aintec/AbadeKK11

HASC2011corpus: Towards the common ground of human activity recognition 査読有り

Kawaguchi N., Yang Y., Yang T., Ogawa N., Iwasaki Y., Kaji K., Terada T., Murao K., Inoue S., Kawahara Y., Sumi Y., Nishio N.

UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing 頁： 571 - 572 2011年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing

Human activity recognition through the wearable sensor will enable a next-generation human-oriented ubiquitous computing. However, most of research on human activity recognition so far is based on small number of subjects, and non-public data. To overcome the situation, we have gathered 4897 accelerometer data with 116 subjects and compose them as HASC2011corpus. In the field of pattern recognition, it is very important to evaluate and to improve the recognition methods by using the same dataset as a common ground. We make the HASC2011corpus into public for the research community to use it as a common ground of the Human Activity Recognition. We also show several facts and results of obtained from the corpus. © 2011 Authors.

DOI： 10.1145/2030112.2030218

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その他リンク： http://dblp.uni-trier.de/db/conf/huc/ubicomp2011.html#conf/huc/KawaguchiYYOIKTMIKSN11

indoor.Locky: UGCを利用した無線LAN 屋内位置情報基盤査読有り Open Access

梶克彦, 河口信夫

情報処理学会論文誌 52 巻 ( 12 ) 頁： 3263 - 3273 2011年

Gaussian Mixture Modelを用いた無線LAN位置推定手法査読有り Open Access

藤田迪, 梶克彦, 河口信夫

情報処理学会論文誌 52 巻 ( 3 ) 頁： 1069 - 1081 2011年

App.locky: Users' context collecting platform for context-aware application recommendation 査読有り

Kaji K., Yano M., Kawaguchi N.

UbiCrowd'11 - Proceedings of the 2nd International Workshop on Ubiquitous Crowdsouring 頁： 29 - 32 2011年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：UbiCrowd'11 - Proceedings of the 2nd International Workshop on Ubiquitous Crowdsouring

Recently, it has become very hard for users to find their desired mobile services because the number of applications and Web services are rapidly increasing. Therefore, it is important to realize context-aware application recommendation. Because it is necessary to collect large learning data to estimate user's context, we propose a platform for collecting users' context and relationship between context and application by providing an application search system that inquires user's current context. We implemented a system named "App.Locky" based on our proposal and conducted experiments by publishing the system on the internet. As a result, we confirmed that collected search logs can be used to estimate user's context and relationship between context and application. © 2011 ACM.

DOI： 10.1145/2030100.2030110

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App.Locky:コンテキスト依存型サービス推薦を目的としたユーザ状況収集プラットフォーム査読有り Open Access

矢野幹樹, 梶克彦, 河口信夫

情報処理学会論文誌 52 巻 ( 12 ) 頁： 3274 - 3288 2011年

Distributed human activity data processing using HASC tool 査読有り

Kawaguchi N., Ogawa N., Iwasaki Y., Kaji K.

UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing 頁： 603 - 604 2011年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing

To accelerate and simplify human activity recognition research, we have been developing a data processing tool named "HASC Tool." As the activity corpus becomes huge, it is not simple to handle the large number of files because it takes a lot of time to process. In this paper, we propose a distributed data processing mechanism which is implemented in the HASC Tool. By using the system, we can simply scale the local system into distributed processing. We also show the preliminary experimental result. © 2011 Authors.

DOI： 10.1145/2030112.2030234

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その他リンク： http://dblp.uni-trier.de/db/conf/huc/ubicomp2011.html#conf/huc/KawaguchiOIK11

indoor.Locky : UGCを利用した無線LAN屋内位置情報基盤査読有り Open Access

河口信夫

情報処理学会論文誌 Vol.52, No.12 巻頁： 3263 - 3273 2011年

大規模データベースと装着型センサで人間行動を理解する Open Access

河口信夫

情報処理 52-1 巻頁： 32 - 36 2011年

大規模データベースと装着型センサで人間行動を理解する招待有り Open Access

河口信夫

情報処理 52 巻 ( 1 ) 頁： 32 2010年12月

人間行動理解のための信号処理招待有り

河口信夫，武田一哉

電子情報通信学会誌 93 巻 ( 12 ) 頁： 1060 2010年12月

人間行動理解のための信号処理

河口信夫, 武田一哉

電子情報通信学会誌 = The journal of the Institute of Electronics, Information and Communication Engineers 93 巻 ( 12 ) 頁： 1060-1062 2010年12月

駅.Locky : 無線LAN位置推定を用いた時刻表アプリの開発 Open Access

矢野幹樹, 岩崎陽平, 河口信夫

全国大会講演論文集 72 巻 ( 0 ) 頁： 289-290 2010年3月

D-19-8 プライバシー保護を考慮した公共センサ応用(D-19.情報通信システムセキュリティ,一般セッション)

北出卓矢, 岩崎陽平, 河口信夫, 平野靖, 梶田将司, 間瀬健二

電子情報通信学会総合大会講演論文集 2010 巻 ( 2 ) 頁： . 2010年3月

省エネ意識向上を目指した細粒度電力センシング・提示システムの構築

上田泰嵩, 小川延宏, 河口信夫, 片山正昭

電気学会研究会資料. CMN, 通信研究会 2010 巻 ( 1 ) 頁： 27-32 2010年1月

TimeTable.Locky: Nation wide WiFi location information system based on user contributed information 査読有り

Yano M., Kaji K., Kawaguchi N.

Proceedings of the 3rd International Workshop on Location and the Web, LocWeb 2010 頁： 24 - 25 2010年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：Proceedings of the 3rd International Workshop on Location and the Web, LocWeb 2010

We introduce an iPhone / iPod touch timetable application using WiFi location system named "Eki.Locky". This application adopts UGC (User Generated Content) approach to collect TimeTable information andWiFi access point (AP) information from public users. Since the service started in October 2009, Eki.Locky has been used by over 440,000 people, posted timetable information covers 98% of all stations in Japan and 350,000 WiFi AP information were collected. In addition, since June 2010, we started a new version of this application named "TimeTable.Locky" which supports any timetable such as buses and airplanes. TimeTable.Locky also has been used large number of people, and collected over 23,000 of timetable information. Copyright 2010 ACM.

DOI： 10.1145/1899662.1899669

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その他リンク： http://dblp.uni-trier.de/db/conf/locweb/locweb2010.html#conf/locweb/YanoKK10

*高度な実世界イベント認識を手軽に利用可能にするInstant Learning Sound Sensor の提案査読有り Open Access

根岸佑也，河口信夫

情報処理学会論文誌 50 巻 ( 4 ) 頁： 1272,1286 2009年4月

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