ISBN: 978-981-11-0008-6 DOI: 10.18178/wcse.2016.06.129
Detecting Improper Sitting Posture with a Lateral Positioned Motion- Sensing Camera
Abstract— Sitting posture detection is helpful for preventing musculoskeletal disorders. With the
development of motion-sensing camera and relative software development kit(SDK), it is possible to
implement an application using skeleton detecting technology. In this paper, a method is introduced to detect
sitting posture from a lateral view without disturbing the user. To analyse video stream information, a
skeleton thinning algorithm is described and averaging process aims to locate main joints specifically from
the lateral side. The results show this method has high accuracy when detecting improper sitting postures.
Index Terms— ergonomics, motion-sensing camera, gesture recognition, OpenNI.
Yue Zhao, Xintong Liu, Zhenghang Wu, Jiecheng Wu, Yidong Cui, Tao Qi
School of Software Engineering, Beijing University of Posts and Telecommunications, CHINA
Cite: Yue Zhao, Xintong Liu, Zhenghang Wu, Jiecheng Wu, Yidong Cui, Tao Qi, "Detecting Improper Sitting Posture with a Lateral Positioned Motion- Sensing Camera," Proceedings of 2016 6th International Workshop on Computer Science and Engineering, pp. 724-729, Tokyo, 17-19 June, 2016.