Design and implementation of sensor-embedded chair for continuous sitting posture recognition

Teruhiro Mizumoto, Yasuhiro Otoda, Chihiro Nakajima, Mitsuhiro Kohana, Motohiro Uenishi, Keiichi Yasumoto, Yutaka Arakawa

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


In this paper, we design and develop a sensor-embedded office chair that can measure the posture of the office worker continuously without disturbing their job. In our system, eight accelerometers, that are attached at the back side of the fabric surface of the chair, are used for recognizing the posture. We propose three sitting posture recognition algorithms by considering the initial position of the chair and the difference of physique. Through the experiment with 28 participants, we confirm that our proposed chair can recognize the sitting posture by 75.4% (algorithm 1), 83.7% (algorithm 2), and 85.6% (algorithm 3) respectively.

Original languageEnglish
Pages (from-to)1067-1077
Number of pages11
JournalIEICE Transactions on Information and Systems
Issue number5
Publication statusPublished - May 2020

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence


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