Gesture recognition based on kinect and sEMG signal fusion

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

doi:10.1007/s11036-018-1008-0

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 journal › Article › peer-review

Abstract

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 language	English
Pages (from-to)	797–805
Journal	Mobile Networks and Applications
Volume	23
Issue number	4
Early online date	20 Jan 2018
DOIs	https://doi.org/10.1007/s11036-018-1008-0
Publication status	Published - 1 Aug 2018

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https://link.springer.com/article/10.1007/s11036-018-1008-0

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title = "Gesture recognition based on kinect and sEMG signal fusion",

abstract = "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.",

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AU - Sun, Ying

AU - Li, Cuiqiao

AU - Li, Gongfa

AU - Jiang, Guozhang

AU - Jiang, Du

AU - Liu, Honghai

AU - Zheng, Zhigao

N1 - Post-print unavailable.

PY - 2018/8/1

Y1 - 2018/8/1

N2 - 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.

AB - 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.

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JO - Mobile Networks and Applications

JF - Mobile Networks and Applications

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Gesture recognition based on kinect and sEMG signal fusion

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