TY - JOUR
T1 - Design and Implementation of Sensor-Embedded Chair for Continuous Sitting Posture Recognition
AU - Mizumoto, Teruhiro
AU - Otoda, Yasuhiro
AU - Nakajima, Chihiro
AU - Kohana, Mitsuhiro
AU - Uenishi, Motohiro
AU - Yasumoto, Keiichi
AU - Arakawa, Yutaka
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
U2 - 10.1587/transinf.2019EDP7226
DO - 10.1587/transinf.2019EDP7226
M3 - Article
SN - 0916-8532
VL - 103
SP - 1067
EP - 1077
JO - IEICE Transactions on Information and Systems
JF - IEICE Transactions on Information and Systems
IS - 5
ER -