Title :
Fatigue detection using a pressure sensor chair
Author :
Nakane, Hisataka ; Toyama, Jun ; Kudo, Mineichi
Author_Institution :
Lab. for Pattern Recognition & Machine Learning, Hokkaido Univ., Sapporo, Japan
Abstract :
Fatigue is considered a contributing factor to accidents and illnesses at work. Hence, detecting fatigue by routinely monitoring an individual´s person health is useful in preventing accidents and illnesses. There are many conventional methods for detecting fatigue; However, these methods require users to monitor the extent of their fatigue with gauges and instruments that can restrict users´ actions. On the other hand, fatigue detection using posturography can mitigate this problem. This study focuses on posturography in seated position, because sitting is quite a common action in daily life, and posturography in seated position can be measured without restricting the users´ movement. Posturography in seated position is measured when subjects sit on a chair attached to a pressure sensor sheet. We formed an assumption that the more tired a person is, the more rapidly the COP (center of pressure) converges toward a point. Based on this assumption, we investigated the difference between postural sway in seated position as subjects went from experiencing a condition of fatigue to non-fatigue. Experimental result showed that the COP for left-right axis for subjects experiencing fatigue converged earlier than for those experiencing non-fatigue.
Keywords :
accident prevention; fatigue; health care; pressure sensors; COP; accident prevention; fatigue detection; fatigue monitoring; person health; posturography; pressure sensor chair; routinely monitoring; Accidents; Fatigue; Laboratories; Monitoring; Muscles; Position measurement; Center of Pressure; Posturography; unrestricted;
Conference_Titel :
Granular Computing (GrC), 2011 IEEE International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4577-0372-0
DOI :
10.1109/GRC.2011.6122646