The main work of human motion gesture recognition is to recognize and analyze the behavior of human objects in the video. Although the current research in the field of human motion gesture recognition has achieved certain results, the human motion gesture recognition in real life scenes has great effects due to factors such as camera movement, target scale transformation, dynamic background, viewing angle, and illumination. This article first proposes a new method of constructing human motion posture features to describe human behavior. This method is based on deep convolutional neural network features and topic models. Experiments have verified that compared with the traditional feature map extracted from the convolutional neural network fully connected layer, the feature map extracted from the convolutional neural network convolutional layer is not only lower in dimension but also has higher discrimination. Secondly, based on the feature map of the convolutional neural network, the training map downsampling strategy is used to overcome the interference caused by the object's scale change and shape change. Finally, based on the basketball gesture recognition method, the behavior performance of the legs and arms in 9 basketball actions of walking, running, jumping, standing dribbling, walking dribbling, running dribbling, shooting, passing and receiving is analyzed. As well as the corresponding signal waveform characteristics, a two-stage data division method for basketball is proposed. The unit action data is extracted for analysis to realize feature extraction. In order to select the most suitable classifier for basketball gesture recognition, the constructed feature vector uses four Different classifiers are trained to construct different classifiers to realize the division of actions. INDEX TERMS Convolutional neural networks; training Images; human motion gesture recognition; classifier; feature vector Xiangui Bu was born in WeiShan, China, in 1981. Master of Physical Education, master of Education doctor, associate professor, master's supervisor, head of boxing course of Shandong Sport University, the first famous teacher of Shan dong Sport University. Visiting scholar of
E-sports attracts a lot of time and energy from adolescents, making them happy to actively participate and even become addicted to the Internet. In order to reveal the mechanism of e-sports addiction and the mechanism of action, a model of e-sports internal drive was constructed by rooting qualitative analysis of interview data from 30 e-sports players, and the results of the study showed that the e-sports internal drive model consists of incentive setting (continuous incentive, variety of incentives, incentive can be redeemed, and incentive odds), task setting (can start over, flexible and free, can be completed, and specific goals), program setting (forming a team, simple interpersonal relationship, specific rules, timely feedback, fairness, simple operation, goal focus, quantified indicators, challenge difficulty, and training guidance), 3 dimensions, and 18 categories. The three dimensions are interrelated and synergistic eSports influencing factors. The establishment of this model enriches the relevant theories on the study of eSports endogamy and provides a reference basis for revealing the current social phenomenon of eSports game addiction among eSports players.
The change of boxing competition rules has put forward higher requirements on the speed quality of male boxers. To investigate the effect of interval training on the displacement speed of male outstanding boxers and to provide a theoretical basis for targeted improvement of speed quality of male boxers. A 4-week interval training intervention was conducted on 20 male boxing athletes through literature method, interview method, and experimental method. The subjects in the experimental group had higher test results than the control group test data after the experiment, and the test results of the experimental group reached a highly significant difference before and after the experiment, and the test results of the control group before and after the experiment were improved but not significantly different. The effect of interval training was more effective than traditional physical training in improving the displacement speed of male good boxers, which significantly improved the displacement speed of the subjects.
The aim of this study was to design a 12-week intervention experiment with a speed strength training program and conventional training to test and analyze the effects of speed strength training on punching speed, punching power, and punching effectiveness of female boxers and to provide empirical support for the targeted improvement of special striking effectiveness of female boxers. By using the experimental method, a controlled experiment was conducted with 20 athletes from the Chinese women’s boxing team as the study subjects, and the targeted experimental intervention was conducted. Through experiment, speed power training had no significant effect on the improvement of basic movement ability of female boxers. In addition, speed power training could effectively improve the speed power level of athletes in the experimental group, and the speed power level of the control group was not significantly improved. Lastly, speed power training improved the punching effect of the experimental group, and the effect of the control group was not significant. Conclusion of this study includes the following: (1) speed strength training improved the speed strength level of the athletes, but it did not have a significant effect on improving basic movement ability. (2) The improvement of speed strength could improve the striking speed of female boxers, and the speed strength training also achieved good results. (3) The improvement of speed strength had a positive effect on the special striking power of female boxers. (4) Speed strength training improved the special striking effect of female boxers athletes’ special hitting effect.
To construct a structural model of special physical quality test indexes for Chinese outstanding male boxers and to develop comprehensive evaluation criteria for special physical quality of Chinese outstanding male boxers. Expert questionnaire survey method, principal component analysis, and R-type factor analysis were applied in this study. Results of this study include, (1) Through factor analysis, the four types of factors that play a major role for male boxers were strength factor, speed factor, endurance factor, and agility factor in order. (2) Through principal component analysis and R-type factor analysis, the regression equation of the estimated values of the common factors was obtained, and the formula for calculating the comprehensive development level of physical quality of Chinese outstanding male boxers was established through weighting. (3) Through the empirical test, the gap between Level I boxers and boxers at the fitness level was in the endurance and agility dimensions, and Level II boxers were also worse than Level I boxers in the agility dimension, and there was an all-round special physical quality gap between Level II boxers in strength, speed, endurance, and agility and boxers at the fitness level. Conclusion of this study could be summarized as follows: first, the special physical quality index system of Chinese excellent male boxers is: 1 min power sandbag, 20 s straight punch, 9 min double swing jump rope, 1 min front and back hand exchange sandbag 4 items. Second, the standard scores of 4 special physical quality indexes for Chinese outstanding male boxers were developed. Third, the formula for calculating the comprehensive score of special physical quality development level of Chinese excellent male boxers was developed: T = ∑ W i T i = 0.367T1 + 0.307T2 + 0.172T3 + 0.154T4. Fourth, the evaluation criteria for the comprehensive physical quality development level of Chinese excellent male boxers were established (T ≥ 72.01 for excellent; 44.6 ≤ T < 72.01 as good; T < 44.6 as poor).
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