People identification based on sitting patterns

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

研究成果: Conference article査読

2 被引用数 (Scopus)


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.

ジャーナルCEUR Workshop Proceedings
出版ステータスPublished - 2012
イベントWorkshop on Ubiquitous Data Mining, UDM 2012 - In Conjunction with the 20th European Conference on Artificial Intelligence, ECAI 2012 - Montpellier, France
継続期間: 2012 8月 272012 8月 31

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)


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