Extracting personal user context with a three-axis sensor mounted on a freely carried cell phone

Toshiki Iso, Kenichi Yamazaki

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

1 Citation (Scopus)

Abstract

To realize ubiquitous services such as presence services and health care services, we propose an algorithm to extract "personal user context" such as user's behavior; it processes information gathered by a three-axis accelerometer mounted on a cell phone. Our algorithm has two main functions; one is to extract feature vectors by analyzing sensor data in detail by wavelet packet decomposition. The other is to flexibly cluster personal user context by combining a self-organizing algorithm with Bayesian theory. A prototype that implements the algorithm is constructed. Experiments on the prototype show that the algorithm can identify personal user contexts such as walking, running, going up/down stairs, and walking fast with an accuracy of about 88[%].

Original languageEnglish
Title of host publicationSIGMAP 2006 - International Conference on Signal Processing and Multimedia Applications, Proceedings
Pages224-231
Number of pages8
Publication statusPublished - 2006 Dec 1
Externally publishedYes
EventInternational Conference on Signal Processing and Multimedia Applications, SIGMAP 2006 - Setubal, Portugal
Duration: 2006 Aug 72006 Aug 10

Publication series

NameSIGMAP 2006 - International Conference on Signal Processing and Multimedia Applications, Proceedings

Conference

ConferenceInternational Conference on Signal Processing and Multimedia Applications, SIGMAP 2006
Country/TerritoryPortugal
CitySetubal
Period06/8/706/8/10

Keywords

  • Accelerometer
  • Cell phone
  • Context extraction
  • Kohonen self-organizing map
  • Sensors
  • Ubiquitous service
  • Wavelet packet

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction

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