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論文 - 河口　信夫

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Gate-passing detection method based on WIFI significant points

Kaji K., Kawaguchi N.

Lecture Notes in Engineering and Computer Science 2 LNECS 巻頁： 1409 - 1414 2013年11月

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：Lecture Notes in Engineering and Computer Science

We propose a gate-passing detection method based on WiFi signal strength and the accelerometers of user smartphones. Since doors divide such physical areas as rooms and hallways, the WiFi environments tend to greatly vary. A gate should exist when the points in the WiFi environments vary on a large scale. We define such points as WiFi significant points and propose a detection method based on a WiFi distance function and estimated moving distance according to an accelerometer. We evaluated our proposed method and found out that most door passings can be detected. We also found that we can estimate the existence of doors that have identical door passings with a high degree of accuracy.

Scopus

Elevator Acceleration Sensing: Design and Estimation Recognition Algorithm Using Crowdsourcing 査読有り

Tianhui Yang, Katsuhiko Kaji and Nobuo Kawaguchi

CDS 2013: The 1st IEEE International Workshop on Consumer Devices and Systems 頁： 534-539 2013年7月

Gate-Passing Detection Method Based on WiFi Significant Points 査読有り

Katsuhiko Kaji, Nobuo Kawaguchi

The World Congress on Engineering 2013, Certificate of Merit for The 2013 International Conference of Wireless Networks 頁： 1409-1414 2013年7月

実世界に広がる装着型センサを用いた行動センシングとその応用：1. 大規模人間行動センシングデータベースHASC Corpusとその応用招待有り査読有り

河口信夫

情報処理 54 巻 ( 6 ) 頁： 564-567 2013年5月

担当区分：筆頭著者記述言語：日本語

音声や画像といった分野では，大規模データの活用により性能向上が図られてきたが，行動認識には利用できるデータが存在していない．我々は人間行動センシングコンソーシアム（Human Activity Sensing Consortium: HASC）を設立し，行動認識技術のより一層の進展のために大規模な行動センシングデータベース HASC corpusを構築した．HASC Challenge を2010年から3年間開催し，300名を超える被験者の行動データを収集した．データの応用例として被験者数の増大に基づく認識率向上や，経路識別を示す．また，年齢にバランスしたデータや，屋内案内をターゲットとしたデータ収集も進めている．これらのデータの多くは登録すれば無償で利用できるため，ぜひ利用して，あらたな成果を生んでいただきたい．

Scalable QoS for XCAST Using Differentiated Services Architecture 査読有り

Odira Elisha Abade, Katsuhiko Kaji, Nobuo Kawaguchi

20 巻 ( 1 ) 頁： 131-144 2013年1月

A Localization Method for Markerless AR Using a Depth Image Sensor 査読有り

Kenji Yamakawa,Katsuhiko Kaji, Nobuo Kawaguchi

Proceedings of the the International Workshop on Advanced Image Technology (IWAIT'13) 頁： 1182-1187 2013年1月

An Intuitive Multi-touch Interface Using Finger Posture for Operating 3D Objects 査読有り

Shingo Baba, Katsuhiko Kaji, and Nobuo Kawaguchi Toshiyuki Hagiya and Tsuneo Kato

Proceedings of the the International Workshop on Advanced Image Technology (IWAIT'13) 頁： 244-249 2013年1月

Elevator acceleration sensing: Design and estimation recognition algorithm using crowdsourcing

Yang Tianhui, Kaji Katsuhiko, Kawaguchi Nobuo

2013 IEEE 37TH ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE WORKSHOPS (COMPSACW) 頁： 534-539 2013年

Scalable QoS for XCAST Using Differentiated Services Architecture

Abade Odira Elisha, Kaji Katsuhiko, Kawaguchi Nobuo

Information and Media Technologies 8 巻 ( 1 ) 頁： 182 - 195 2013年

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：Information and Media Technologies 編集運営会議

Explicit multiunicast (XCAST) has been proposed as a multicasting scheme with complementary scaling properties which can solve the scalability problems of conventional IP Multicast. XCAST is suitable for videoconferencing, online games and IPTV. This paper deals with QoS provisioning in XCAST networks using Differentiated Services (DiffServ). We show that integration of DiffServ in XCAST is a non-trivial problem due to inherent architectural differences between XCAST and DiffServ. We then propose a scheme called QS-XCAST that uses dynamic DSCPs to adapt to the heterogeneity of receivers in an XCAST network. We also provide an algorithm for harmonizing the receiver-driven and sender-driven QoS approaches between XCAST and DiffServ thereby determining the correct DSCP-PHB for all links in an XCAST network. By simulating using OMNeT++ we evaluate QS-XCAST using four metrics: throughput, average per-hop-delay, link utilization and forwarding fairness to other traffic in the network. Our solution eliminates DSCP confusion and collusion attack problems to which naive XCAST QoS provisioning is vulnerable. It also offers a more efficient bandwidth utilization, better forwarding fairness and less traffic load compared to the existing XCAST.

DOI： 10.11185/imt.8.182

CiNii Research

Chairs' summary/proposal for international workshop on human activity sensing corpus and its application (HASCA2013) 査読有り

Kawaguchi N., Nishio N., Roggen D., Fujinami K., Pirttikangas S.

UbiComp 2013 Adjunct - Adjunct Publication of the 2013 ACM Conference on Ubiquitous Computing 頁： 599 - 603 2013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 2013 Adjunct - Adjunct Publication of the 2013 ACM Conference on Ubiquitous Computing

Recent advancement of technology enables installations of small sized accelerometers or gyroscopes on various kinds of wearable/portable information devices. By using such wearable sensors, these devices can estimate its posture or status. However, most of current devices only utilize these sensors for simple orientation and gesture recognition. More deep understandings and recognition of human activity through these sensors will enable the next-generation human-oriented computing. To enable the real-world application by these kinds of wearable sensors, a large scale human activity sensing corpus might play an important role. Additionally, we have now a lot of high-performance mobile devices in real-world such as smart-phones. It is a great challenge to utilize such an enormous number of wearable sensors to collect a large-scale activity corpus. In recent years, there are several ongoing projects which are collecting human activities. In this workshop, we are planning to share these experiences of current research on the human activity corpus and its applications among the researchers and the practitioners and to have a deep discussion for future of activity sensing. Copyright © 2013 ACM.

DOI： 10.1145/2494091.2495992

Scopus

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その他リンク： http://dblp.uni-trier.de/db/conf/huc/ubicomp2013ap.html#conf/huc/KawaguchiNRFP13

Gate-Passing Detection Method Based on WiFi Significant Points 査読有り

Katsuhiko Kaji, Nobuo Kawaguchi

WORLD CONGRESS ON ENGINEERING - WCE 2013, VOL II 頁： 1409 - 1414 2013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：INT ASSOC ENGINEERS-IAENG

We propose a gate-passing detection method based on WiFi signal strength and the accelerometers of user smart-phones. Since doors divide such physical areas as rooms and hallways, the WiFi environments tend to greatly vary. A gate should exist when the points in the WiFi environments vary on a large scale. We define such points as WiFi significant points and propose a detection method based on a WiFi distance function and estimated moving distance according to an accelerometer. We evaluated our proposed method and found out that most door passings can be detected. We also found that we can estimate the existence of doors that have identical door passings with a high degree of accuracy.

Web of Science

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Gate-Passing Detection Method Based on WiFi Significant Points

Kaji Katsuhiko, Kawaguchi Nobuo

WORLD CONGRESS ON ENGINEERING - WCE 2013, VOL II 頁： 1409 - 1414 2013年

HASC-IPSC: Indoor pedestrian sensing corpus with a balance of gender and age for indoor positioning and floor-plan generation researches 査読有り

Kaji K., Ban R., Watanabe H., Kawaguchi N.

UbiComp 2013 Adjunct - Adjunct Publication of the 2013 ACM Conference on Ubiquitous Computing 頁： 605 - 610 2013年

Up till now, the majority of researches related to location estimation and floor plan creation have used different kinds of data and there has simply been no technique to compare the relative advantages and disadvantages. We collected indoor pedestrian sensing data of 100 people with a balance of gender and age. The data is part of the HASC corpus, free to use for research purposes. Copyright © 2013 ACM.

DOI： 10.1145/2494091.2495981

Scopus

researchmap

その他リンク： http://dblp.uni-trier.de/db/conf/huc/ubicomp2013ap.html#conf/huc/KajiWBK13

大規模人間行動センシングデータベースHASC Corpusとその応用

河口信夫

情報処理学会誌 Vol.54, No.6 巻頁： 564 - 567 2013年

Design and Implementation of WiFi Indoor Localization based on Gaussian Mixture Model and Particle Filter 査読有り

Katsuhiko Kaji, Nobuo Kawaguchi

Proceedings of the International Conference on Indoor Positioning and Indoor Navigation (IPIN'12) 2012年11月

Application Layer Traffic Engineering for Multipoint Communication System 査読有り

Yumi Nakayama, Katsuhiko Kaji, Nobuo Kawaguchi

The 15th International Conference on Network-Based Information Systems (NBiS-2012) 頁： 284-289 2012年9月

大規模人間行動センシングコーパスHASC2012corpus の概要とその応用査読有り

河口信夫, 渡辺穂高, 楊天輝, 小川延宏, 岩崎陽平, 梶克彦, 寺田努, 村尾和哉, 羽田久一, 井上創造, 川原圭博, 角康之, 西尾信彦

情報処理学会シンポジウムシリーズマルチメディア，分散，協調とモバイルシンポジウム(DICOMO2012)論文集頁： 1110–1116 2012年7月

記述言語：日本語掲載種別：研究論文（研究会，シンポジウム資料等）

人間行動の理解は，情報システムの究極の目標の一つである．我々は装着型センサを用いた人間行動の大規模コーパスの構築を行うために，HASC Challengeを2010年,2011年と開催した．これらの成果として，HASC2011corpus(被験者数116, 行動データ数4898),HASC2012corpus(被験者数136, 行動データ数7668)を構築した．本稿では，HASC2012corpusの概要と，新たな実環境データの応用について述べる．

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HASC2012corpus: Large Scale Human Activity Corpus and Its Application 査読有り

KAWAGUCHI Nobuo, WATANABE Hodaka, YANG Tianhui, OGAWA Nobuhiro, IWASAKI Yohei, KAJI Katsuhiko, TERADA Tsutomu, MURAO Kazuya, HADA Hisakazu, INOUE Sozo, SUMI Yasuyuki, KAWAHARA Yoshihiro, NISHIO Nobuhiko

the Second International Workshop of Mobile Sensing: From Smartphones and Wearables to Big Data(Held with IPSN2012 and CPSWeek 2012) 頁： 10 - 14 2012年4月

Design and Implementation of WiFi Indoor Localization based on Gaussian Mixture Model and Particle Filter

Kaji Katsuhiko, Kawaguchi Nobuo

2012 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN) 頁： . 2012年

QS-XCAST: a QoS aware XCAST implementation. 査読有り

Odira Elisha Abade, Katsuhiko Kaji, Nobuo Kawaguchi

International ICST Conference on Simulation Tools and Techniques, SIMUTOOLS '12, Sirmione-Desenzano, Italy, March 19-23, 2012 頁： 307 - 310 2012年

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