DocumentCode :
2251251
Title :
State of the Art in Gait Analysis Using Wearable Sensors for Healthcare Applications
Author :
Zhang, Bofeng ; Jiang, Susu ; Wei, Daming ; Marschollek, Michael ; Zhang, Wu
Author_Institution :
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
fYear :
2012
fDate :
May 30 2012-June 1 2012
Firstpage :
213
Lastpage :
218
Abstract :
The ability to measure human movement accurately forms an essential part of a clinical assessment, thus allowing the efficacy of therapeutic interventions to be determined. The most commonly used clinical method for assessing human movement is goniometry, motion capture system, Electromagnetic tracking systems and so on. There are some essential limitations in each method. Inertial sensors such as accelerometers, magnetometers and gyroscopes have the potential to be used for assessing human movement in various environments. Numerous studies have reported using systems based on accelerometers or gyroscopes. These two types of sensors may also be combined to study human motions with good accuracy. The present study employed an inertial system which utilized such fusion technology which is reported to provide motion data with better accuracy. This paper reviews walking analysis using wireless inertial sensors currently, analyzes the features of this methods comparing with other methods, and indicates the key problem and the future direction and application domains.
Keywords :
accelerometers; biosensors; computerised instrumentation; gait analysis; goniometers; gyroscopes; health care; magnetometers; medical computing; accelerometers; clinical assessment; electromagnetic tracking systems; gait analysis; goniometry; gyroscopes; healthcare applications; human movement measurement; inertial sensors; magnetometers; motion capture system; therapeutic interventions; walking analysis; wearable sensors; wireless inertial sensors; Accelerometers; Diseases; Humans; Legged locomotion; Senior citizens; Sensor systems; ambulatory system; gait analysis; inertial sensor; walking analysis; wireless;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Science (ICIS), 2012 IEEE/ACIS 11th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-1536-4
Type :
conf
DOI :
10.1109/ICIS.2012.100
Filename :
6211099
Link To Document :
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