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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
Publication Date: 2020/05/01
Online ISSN: 1745-1361
Type of Manuscript: PAPER
Category: Office Information Systems, e-Business Modeling
internet of things, posture sensing, smart chair, posture recognition,
Full Text: PDF(1.7MB)>>
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.