Traditional methods have the problems of insufficient accuracy and slow speed in human posture detection. In order to solve the above problems, a limb movement detection method in competitive sports training based on deep learning is proposed. The force change parameters of sports limb movements in the process of sports are computed to achieve the detection of limb movements in competitive sports training, and the limb movement characteristics in competitive sports training are extracted using a deep learning algorithm. The experimental results show that the limb movement detection method based on deep learning in competitive sports training has significantly higher detection accuracy and faster speed.
机构:
Henan Univ, Sports Reform & Dev Res Ctr, Sch Phys Educ & Sport, Kaifeng 475001, Henan, Peoples R ChinaHenan Univ, Sports Reform & Dev Res Ctr, Sch Phys Educ & Sport, Kaifeng 475001, Henan, Peoples R China
Li, Shaolong
Zhou, Changlei
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机构:
Linyi Univ, Coll Sports & Hlth, Linyi 276000, Shandong, Peoples R China
Pai Chai Univ, Dept Leisure Serv & Sports, Daejeon 35345, South KoreaHenan Univ, Sports Reform & Dev Res Ctr, Sch Phys Educ & Sport, Kaifeng 475001, Henan, Peoples R China
机构:
Dongguan City Coll, Phys Educ Dept, Dongguan 523419, Guangdong, Peoples R ChinaDongguan City Coll, Phys Educ Dept, Dongguan 523419, Guangdong, Peoples R China
Sun, Hui
Wang, Yu
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机构:
Dongguan City Coll, Phys Educ Dept, Dongguan 523419, Guangdong, Peoples R ChinaDongguan City Coll, Phys Educ Dept, Dongguan 523419, Guangdong, Peoples R China
Wang, Yu
Wang, Yujue
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机构:
South China Normal Univ, Sch Phys Educ & Sports Sci, Guangzhou 510006, Guangdong, Peoples R ChinaDongguan City Coll, Phys Educ Dept, Dongguan 523419, Guangdong, Peoples R China
机构:
ShangHai Commun Polytech, Basic Educ Dept, Shang Hai 200431, Peoples R ChinaShangHai Commun Polytech, Basic Educ Dept, Shang Hai 200431, Peoples R China
Su, Wei
Feng, Jian
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机构:
Tongji Univ, Dept Phys Educ, Shang Hai 200092, Peoples R ChinaShangHai Commun Polytech, Basic Educ Dept, Shang Hai 200431, Peoples R China