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Research on the physiological load of interactive gesture in elderly based on sEMG

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Abstract

The current research on interactive gesture mainly focuses on gesture recognition and input efficiency, and there are few studies on evaluating the physiological load of gesture operations. By using surface electromyography technology, the physiological load of different gesture movements was evaluated to find out the characteristics of gesture which meet the physiological needs. A total of 14 single-handed gestures were selected, and the subjects were operated for 2 min. Then the results of the subjective fatigue and the EMG signals of the deltoid, biceps brachii and brachioradialis, which are the most active in upper limb movement, are collected and analyzed. The results showed that the biceps brachii was closely related to the fatigue of the deltoid, which was significantly related to the tendency of the deltoid fatigue caused by extensive movement or arm straightening, and the subjective fatigue was related to the deltoid fatigue. Therefore, in order to improve the physiological comfort of interactive gestures, it was necessary to focus on slowing the emergence of the deltoid fatigue.

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Acknowledgements

This study is supported by the Humanities and Social Science Foundation of Ministry of Education of China (Project no. 19YJC760099), Public Welfare Technology Research Project of Zhejiang Province (GF19F020061). The authors would like to express their gratitude to EditSprings (https://www.editsprings.com/) for the expert linguistic services provided.

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Authors and Affiliations

  1. Silk and Fashion Culture Research Center of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou, 310018, China

    Ying Wang

  2. Universal Design Institute, Zhejiang Sci-Tech University, Hangzhou, 310018, China

    Ying Wang, Wanqing Wang, Defu Bao & Zhizhao Luo

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  1. Ying Wang
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  2. Wanqing Wang
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Correspondence to Ying Wang.

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Wang, Y., Wang, W., Bao, D. et al. Research on the physiological load of interactive gesture in elderly based on sEMG. CCF Trans. Pervasive Comp. Interact. 3, 186–198 (2021). https://doi.org/10.1007/s42486-021-00060-8

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