Gesture recognition based on kinect and sEMG signal fusion

Ying Sun, Cuiqiao Li, Gongfa Li, Guozhang Jiang, Du Jiang, Honghai Liu, Zhigao Zheng

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Pages (from-to)797–805
JournalMobile Networks and Applications
Issue number4
Early online date20 Jan 2018
Publication statusPublished - 1 Aug 2018


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