Gesture recognition method for wearable sports devices based on sparse representation
Gao, Yuzhou; Ma, Guoquan
2023
发表期刊International Journal of Product Development
ISSN1477-9056
卷号27期号:1-2页码:41-53
摘要In order to effectively solve the shortcomings of traditional gesture recognition methods for sports devices, such as high error rate and long recognition time, this paper designs a gesture recognition method for wearable sports devices based on sparse representation. A gesture model was constructed according to the gesture features of wearable sports devices, and the standard characteristic quantities of gestures were obtained. A sensor is then used to quickly collect a sample of the gesture. The sparse coefficient is obtained. Gestures were classified and processed according to the minimum residual value and sparse coefficient, so as to obtain accurate gesture recognition results of wearable sports devices. The simulation results show that the correct rate of gesture classification is always above 95.41%, the error rate of gesture recognition is always below 5.32%, and the recognition time is less than 0.8 s, which proves that the method has achieved good practical application effect. Copyright © 2023 Inderscience Enterprises Ltd.
关键词Sports Wearable technology Characteristic Classification process Classifieds Error rate Gesture features Gestures recognition Recognition methods Recognition time Sparse representation Wearable sport device
DOI10.1504/IJPD.2023.129309
收录类别EI
语种英语
出版者Inderscience Publishers
EI入藏号20231714021709
引用统计
文献类型期刊论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/161769
专题体育教学研究部
作者单位Department of Physical Education, Lanzhou University of Technology, Gansu Province, Lanzhou, China
第一作者单位兰州理工大学
第一作者的第一单位兰州理工大学
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Gao, Yuzhou,Ma, Guoquan. Gesture recognition method for wearable sports devices based on sparse representation[J]. International Journal of Product Development,2023,27(1-2):41-53.
APA Gao, Yuzhou,&Ma, Guoquan.(2023).Gesture recognition method for wearable sports devices based on sparse representation.International Journal of Product Development,27(1-2),41-53.
MLA Gao, Yuzhou,et al."Gesture recognition method for wearable sports devices based on sparse representation".International Journal of Product Development 27.1-2(2023):41-53.
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