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