DocumentCode :
2313920
Title :
Detecting and Preventing Forward Head Posture with Wireless Inertial Body Sensor Networks
Author :
Kim, Taeyoung ; Chen, Shanshan ; Lach, John
Author_Institution :
Charles L. Brown Dept. of Electr. & Comput. Eng., Univ. of Virginia, Charlottesville, VA, USA
fYear :
2011
fDate :
23-25 May 2011
Firstpage :
125
Lastpage :
126
Abstract :
Forward Head Posture (FHP) is a common musculoskeletal disorder correlated with neck pain that affects a large percentage of the population. Research has shown that providing feedback for posture auto-correction can help combat FHP and reduce the associated neck pain. However, existing methods for head posture detection are immobile, invasive, and/or inaccurate. This paper presents the use and video-based validation of wireless inertial body sensors for FHP detection. In addition, the effectiveness of bio-feedback is evaluated.
Keywords :
biomedical communication; biomedical equipment; body sensor networks; medical computing; medical disorders; forward head posture; head posture detection; musculoskeletal disorder; neck pain; posture auto-correction; video-based validation; wireless inertial body sensor networks; Accuracy; Head; Monitoring; Neck; Sensors; Wireless communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/BSN.2011.41
Filename :
5955309
Link To Document :
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