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  

IEICE TRANSACTIONS on Information and Systems   Vol.E103-D    No.5    pp.1067-1077
Publication Date: 2020/05/01
Publicized: 2020/02/05
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2019EDP7226
Type of Manuscript: PAPER
Category: Office Information Systems, e-Business Modeling
internet of things,  posture sensing,  smart chair,  posture recognition,  

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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.