Recognition and Simulation of Exercise Mode Based on Energy Consumption Model
Sports energy consumption is a quantitative reflection of physical exercise effect. Combined with different sports modes and students’ physical characteristics, the calculation model of sports energy consumption is put forward. Firstly, the relationship between students’ age, height, weight, gender,...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/9960483 |
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| author | Yulei Li |
| author_facet | Yulei Li |
| author_sort | Yulei Li |
| collection | DOAJ |
| description | Sports energy consumption is a quantitative reflection of physical exercise effect. Combined with different sports modes and students’ physical characteristics, the calculation model of sports energy consumption is put forward. Firstly, the relationship between students’ age, height, weight, gender, and energy consumption is analyzed by using multiple linear regression method, and a linear acceleration model is proposed by combining different exercise methods. The relationship between the integral value of acceleration and energy consumption is analyzed, and a linear integral model based on different motion modes is proposed. Based on the kinetic energy theorem, the student movement energy expenditure is estimated. This paper proposes a human movement recognition method based on hybrid features, which mostly can represent the curve of the second generation wavelet transform edge thinning, and from the edge and texture features of the optimal said human posture, the statistical characteristic of the second generation wavelet transform is subtly trained as image characteristics, learning and recognition of human movement. Then, the motion recognition algorithm is tested, which can effectively identify the common movement patterns of primary and middle school students. Finally, the linear relationship between the estimation results of the model and the calculation results of Meijer is analyzed. The analysis results show that the linear acceleration model proposed in this paper can estimate the energy consumption of primary and middle school students’ motion relatively accurately. |
| format | Article |
| id | doaj-art-11a7074732774d338be1aa6b04153253 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-11a7074732774d338be1aa6b041532532025-02-03T00:58:58ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/99604839960483Recognition and Simulation of Exercise Mode Based on Energy Consumption ModelYulei Li0School of Psychology, Beijing Sport University, Beijing 100084, ChinaSports energy consumption is a quantitative reflection of physical exercise effect. Combined with different sports modes and students’ physical characteristics, the calculation model of sports energy consumption is put forward. Firstly, the relationship between students’ age, height, weight, gender, and energy consumption is analyzed by using multiple linear regression method, and a linear acceleration model is proposed by combining different exercise methods. The relationship between the integral value of acceleration and energy consumption is analyzed, and a linear integral model based on different motion modes is proposed. Based on the kinetic energy theorem, the student movement energy expenditure is estimated. This paper proposes a human movement recognition method based on hybrid features, which mostly can represent the curve of the second generation wavelet transform edge thinning, and from the edge and texture features of the optimal said human posture, the statistical characteristic of the second generation wavelet transform is subtly trained as image characteristics, learning and recognition of human movement. Then, the motion recognition algorithm is tested, which can effectively identify the common movement patterns of primary and middle school students. Finally, the linear relationship between the estimation results of the model and the calculation results of Meijer is analyzed. The analysis results show that the linear acceleration model proposed in this paper can estimate the energy consumption of primary and middle school students’ motion relatively accurately.http://dx.doi.org/10.1155/2021/9960483 |
| spellingShingle | Yulei Li Recognition and Simulation of Exercise Mode Based on Energy Consumption Model Complexity |
| title | Recognition and Simulation of Exercise Mode Based on Energy Consumption Model |
| title_full | Recognition and Simulation of Exercise Mode Based on Energy Consumption Model |
| title_fullStr | Recognition and Simulation of Exercise Mode Based on Energy Consumption Model |
| title_full_unstemmed | Recognition and Simulation of Exercise Mode Based on Energy Consumption Model |
| title_short | Recognition and Simulation of Exercise Mode Based on Energy Consumption Model |
| title_sort | recognition and simulation of exercise mode based on energy consumption model |
| url | http://dx.doi.org/10.1155/2021/9960483 |
| work_keys_str_mv | AT yuleili recognitionandsimulationofexercisemodebasedonenergyconsumptionmodel |