DocumentCode :
3745739
Title :
Application of Sensor Information Integration in Human Motion Capture and Recognition
Author :
Liu Zhuo-Fu;Liu Xue;Luo Zhong-Ming;Hong Zhao;Su Ting
Author_Institution :
Higher Educ. key Lab. for Meas. &
fYear :
2015
Firstpage :
1807
Lastpage :
1811
Abstract :
In this paper, the acceleration sensor and angular velocity sensor were combined to collect the data during the human body movement. Features were selected through time-domain analysis. Using the Bayesian classifier, the human body current posture is classified. Compared with human motion gesture recognition method based on the computer vision and image processing technology, inertial-motion-sensor-based human motion gesture recognition and monitoring technology has its advantages including privacy protection and easy wear ability.
Keywords :
"Acceleration","Angular velocity","Feature extraction","Bayes methods","Senior citizens","Time-domain analysis","Data mining"
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2015 Fifth International Conference on
Type :
conf
DOI :
10.1109/IMCCC.2015.384
Filename :
7406166
Link To Document :
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