Abstract
A deep learning approach is used in this study to provide insight into aerobics movement recognition, and the model is used for aerobics movement recognition. The model complexity is significantly reduced, while the multi-scale features of the target at the fine-grained level are extracted, significantly improving the characterization of the target, by embedding lightweight multi-scale convolution modules in 3D convolutional residual networks to increase the local perceptual field range in each layer of the network. Finally, using the channel attention mechanism, the key features are extracted from the multi-scale features. To create a dual-speed frame rate detection model, the fast-slow combination idea is fused into a 3D convolutional network. To obtain spatial semantic information and motion information in the video, the model uses different frame rates, and the two-channel information is fused with features using lateral concatenation. Following the acquisition of all features, the features are fed into a temporal detection network to identify temporal actions and to design a behavior recognition system for the network model to demonstrate the network model's applicability. The average scores of students in the experimental group were significantly higher than those in the control group in seven areas: set accuracy, movement amplitude, movement strength, body coordination, coordination of movement and music, movement expression, and aesthetics; the average scores of movement proficiency and body control in the experimental group were also significantly higher than those in the control group, but the differences were not significant. The differences between the eight indicators in the experimental group were not significant when compared to those in the preexperimental group, indicating that intensive rhythm training for students improves secondary school students' comprehension, proficiency, and presentation of aerobics sets.
Highlights
After the development of aerobics as an international competition, the competition structure has been continuously differentiated, and trying to highlight the competitive characteristics, the rules as the project development of the wind vane, is the best embodiment of the project competitive characteristics. ere is a new interpretation of the assessment of the athletes’ participation in the sets, and the excellent results rely on high technical ability and require the all-around development of athletic ability, especially the need to have excellent physical fitness [1]
Good physical fitness can drive the improvement of skills, and is a necessary condition to complete the competition goals and improve the competition results; excellent strength quality is to achieve the guarantee of solid improvement of difficult techniques, superendurance quality helps the competition in high-quality play, and the combination of movement and fast and powerful movements helps to improve the artistic score
Convolutional neural networks and recurrent neural networks are mainly used in the field of human action recognition. erefore, the development of evaluation criteria for the final score of difficult movement techniques and the level of physical quality development plays a crucial role in the development of training plans to improve the final score of difficult movements. e difference in the difficulty score itself gives a different value to the difficult movements. e higher the difficulty score, the higher the technical and physical requirements of the athlete to complete the movement
Summary
After the development of aerobics as an international competition, the competition structure has been continuously differentiated, and trying to highlight the competitive characteristics, the rules as the project development of the wind vane, is the best embodiment of the project competitive characteristics. ere is a new interpretation of the assessment of the athletes’ participation in the sets, and the excellent results rely on high technical ability and require the all-around development of athletic ability, especially the need to have excellent physical fitness [1]. Aerobics is a skill-driven event group, strong physical fitness is essential to complete the high standard of the competition within the stipulated competition time. Good physical fitness can drive the improvement of skills, and is a necessary condition to complete the competition goals and improve the competition results; excellent strength quality is to achieve the guarantee of solid improvement of difficult techniques, superendurance quality helps the competition in high-quality play, and the combination of movement and fast and powerful movements helps to improve the artistic score. As in diving, competitive gymnastics, wushu, and other sports, the judges assess the athletes’ performance subjectively according to the scoring rules [2]. For athletes in such sports, the identification of their athletic ability and athletic rating is often based on the results achieved by the athletes in various competitions
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