Human activity recognition based on surrounding things

Naoharu Yamada, Kenji Sakamoto, Goro Kunito, Kenichi Yamazaki, Satoshi Tanaka

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

This paper proposes human activity recognition based on the actual semantics of the human's current location. Since predefining the semantics of location is inadequate to identify human activities, we process information about things to automatically identify the semantics based on the concept of affordance. Ontology is used to deal with the various possible representations of things detected by RFIDs, and a multi-class Naïve Bayesian approach is used to detect multiple actual semantics from the terms representing things. Our approach is suitable for automatically detecting possible activities under a variety of characteristics of things including polysemy and variability. Preliminary experiments on manually collected datasets of things demonstrated its noise tolerance and ability to rapidly detect multiple actual semantics from existing things.

本文言語English
ホスト出版物のタイトルEmbedded and Ubiquitous Computing - EUC 2005 Workshops
ホスト出版物のサブタイトルUISW, NCUS, SecUbiq, USN, and TAUES, Proceedings
編集者Tomoya Enokido, Lu Yan, Bin Xiao, Daeyoung Kim, Yuanshun Dai, Laurence T. Yang
出版社Springer Verlag
ページ1-10
ページ数10
ISBN(印刷版)3540308032, 9783540308034
DOI
出版ステータスPublished - 2005
外部発表はい
イベントEUC 2005 Workshops: UISW, NCUS, SecUbiq, USN, and TAUES - Nagasaki, Japan
継続期間: 2005 12 62005 12 9

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3823 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

ConferenceEUC 2005 Workshops: UISW, NCUS, SecUbiq, USN, and TAUES
CountryJapan
CityNagasaki
Period05/12/605/12/9

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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引用スタイル