Title :
eCushion: An eTextile Device for Sitting Posture Monitoring
Author :
Xu, Wenyao ; Li, Zhinan ; Huang, Ming-Chun ; Amini, Navid ; Sarrafzadeh, Majid
Abstract :
Sitting posture analysis is critical for daily applications in biomedical, education and healthcare fields. However, it remains unclear how to monitor sitting posture economically and comfortably. To this end, we presented an eTextile device, called eCushion, in this paper, which can analyze the sitting posture of human being accurately and non-invasively. First, we discussed the implementation of eCushion and design challenges of sensing data, such as scale, offset, rotation and crosstalk. Then, several effective techniques have been proposed to improve the recognition rate of sitting posture. Our experimental results show that the recognition rate of our eCushion system could achieve 92% for object-oriented cases and 79% for general cases.
Keywords :
ergonomics; gait analysis; health care; pose estimation; sensor arrays; textile fibres; user interfaces; eCushion; eTextile device; sitting posture monitoring; sitting posture recognition; Crosstalk; Monitoring; Pattern recognition; Sensor arrays; Sensor phenomena and characterization; Textiles;
Conference_Titel :
Body Sensor Networks (BSN), 2011 International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4577-0469-7
Electronic_ISBN :
978-0-7695-4431-1
DOI :
10.1109/BSN.2011.24