Journal
MOBILE NETWORKS & APPLICATIONS
Volume 23, Issue 4, Pages 797-805Publisher
SPRINGER
DOI: 10.1007/s11036-018-1008-0
Keywords
Gesture recognition; D-S evidence theory; sEMG; Kinect; signal fusion
Categories
Funding
- National Natural Science Foundation of China [51575407, 51575338, 61273106, 51575412, 61603420]
- National Defense Pre-Research Foundation of Wuhan University of Science and Technology [GF201705]
Ask authors/readers for more resources
A weighted fusion method of D-S evidence theory in decision making is proposed to aim at the problem of lacking in the distribution of trust, data processing and precision in D-S evidential theory. The method of gesture recognition based on Kinect and sEMG signal are established. Weighted D-S evidence theory is used to fuse Kinect and sEMG signals and the simulation experiment is made respectively. The stimulation results show that comparing with other experimental methods, the decision fusion method based on weighted D-S evidence theory has higher utilization efficiency and recognition rate.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
