People identification based on sitting patterns

Nguyen Gia, Takuya Takimoto, Nguyen Doan Minh Giang, Jin Nakazawa, Kazunori Takashio, Hideyuki Tokuda

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

This paper proposes a people identification method based on the sitting patterns. This method uses weak evidences from pressure sensors, accelerometer sensors, and light sensors placed on a chair to recognize who is sitting on the chair without any psychological and physical burden on users. We discuss how we have implemented the system using softmax regression model, gradient descent algorithm and nearest neighbor search algorithm. Our experimental result shows that this method can be used in places which has private properties such as a home or small a office.

Original languageEnglish
Pages (from-to)33-37
Number of pages5
JournalCEUR Workshop Proceedings
Volume960
Publication statusPublished - 2012 Jan 1
EventWorkshop on Ubiquitous Data Mining, UDM 2012 - In Conjunction with the 20th European Conference on Artificial Intelligence, ECAI 2012 - Montpellier, France
Duration: 2012 Aug 272012 Aug 31

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Gia, N., Takimoto, T., Giang, N. D. M., Nakazawa, J., Takashio, K., & Tokuda, H. (2012). People identification based on sitting patterns. CEUR Workshop Proceedings, 960, 33-37.