Human activity recognition based on surrounding things

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationEmbedded and Ubiquitous Computing - EUC 2005 Workshops
Subtitle of host publicationUISW, NCUS, SecUbiq, USN, and TAUES, Proceedings
EditorsTomoya Enokido, Lu Yan, Bin Xiao, Daeyoung Kim, Yuanshun Dai, Laurence T. Yang
PublisherSpringer Verlag
Number of pages10
ISBN (Print)3540308032, 9783540308034
Publication statusPublished - 2005
Externally publishedYes
EventEUC 2005 Workshops: UISW, NCUS, SecUbiq, USN, and TAUES - Nagasaki, Japan
Duration: 2005 Dec 62005 Dec 9

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3823 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceEUC 2005 Workshops: UISW, NCUS, SecUbiq, USN, and TAUES

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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