The current research on still image recognition has been very successful, but the study of action recognition for video classes is still a challenging topic. In this work, we propose a random projection-based human action recognition algorithm to address the lack of depth information in color information (RGB video frames) that is not easily affected by environmental factors such as illumination and the lack of ability to recognize actions along the direction of view. A network structure is designed to take the obvious advantage of long- and short-term memory networks for controlling and remembering long sequences of historical information. The network structure in this paper is constituted by multiple memory units. At the same time, this paper constructs the spatial features, temporal features, and depth features of the three recognition stream outputs into a feature matrix, whose feature matrix is divided into multiple temporal segments according to the temporal dimension, then inputs them into the network layer in order, and achieves the fusion of the feature matrix in this paper according to their correlation characteristics on the temporal axis. Here, we proposed the concept of random batch projection operators. This basically uses as much sublimitation information as possible to improve projection accuracy by randomly selecting several subdependencies as projections defined during projection. A compressed sensing design of human motion acceleration data for low-power body area networks is proposed, and the basic idea and implementation process of compressed sensing theory for human motion data compression and reconstruction in wireless body area networks are introduced in detail.
Tennis elbow is a chronic inflammatory injury caused by the connection between the humerus and the tendon attachment point in the elbow. Further in-depth research is needed to cure tennis elbow with extracorporeal shock waves. This article selects 400 tennis elbow patients who were recuperated at Southwest Medical University in 2020 and uses extracorporeal shock wave therapy and ultrasound therapy to compare and analyze the visual analogue scale of pain and positive rate of traction characteristics before and after treatment and summarizes nursing care. The research results indicate that after extracorporeal shock wave and ultrasound treatment, the lower the pain visual analogue scale and the faster the positive rate of traction features in patients, and the better the treatment effect of extracorporeal shock wave. The most accurate impact treatment site is the most painful area that the patient usually feels. The research results provide theoretical data support for the efficacy of extracorporeal shock wave therapy for tennis elbow.
Abstract. Along with the reform of teaching, the traditional teaching mode has not adapted to the development of modern teaching situation. This article from the new concept of happy sports, to explore the people-oriented sports teaching in college basketball teaching application. Through theoretical research and teaching practice, and draw happy sports teaching in college basketball teaching is effective, is rich in scientific, interesting and practical method. Influenced by the traditional physical education thought and the fixed physical education teaching mode, the teaching of physical education in the past emphasized on the "teaching method", but seldom considered the main body status and the "learning method", which limits the students' main function and physical ability. College basketball is one of the main teaching contents of physical education in Colleges and universities. It is a better teaching quality to improve the teaching quality of college basketball. In this paper, a large number of literature on the happy sports teaching, combined with the practice of college basketball teaching, from the current situation and characteristics of college basketball teaching, the implementation of the new concept of sports for college basketball to demonstrate the feasibility and applicability of the new concept of happiness, as a reference to improve the quality of Basketball Teaching in Colleges and universities. The Concept and Characteristics of People Oriented Happy SportsThe ancients said: "those who know better than the good man, as the music man." In contrast, happy sports, it is a lifelong education and personality development needs to start, with interest as the guide, from the emotional start, there is a purpose, a sense of health and physical education of the students a new educational ideas and teaching mode, but also physiological, psychological and social three-dimensional physical education.Happy sports also known as "Happy Sports" or "successful sports", the core is "people-oriented", the comprehensive education as the starting point and destination, the characteristics of the following several points:One, happy sports are the happy feeling through the sports experience, which stimulates the students to participate in the sports consciousness and initiative.Two, happy sports in the teacher's leading role in the emphasis on the role of the main role of the students play, pay attention to create a relaxed, happy classroom atmosphere.Three, happy sports in the joy of learning knowledge, technology, enhance physical fitness, shape personality, develop expertise, and promote the development of physical and mental health of students. Status Quo of College Basketball TeachingThe form of teaching organization is lack of scientific nature. The students' physical fitness and basic basketball level exist great differences. However, the majority of colleges and universities by the nature of class based gender divide into classes according to the teaching methods. This teaching organization form, which ofte...
Introduction: The topic of preventing tissue damage during sports is a heavily debated one. Uncovering factors related to sports injuries is essential to deal with this issue. Objective: To analyze the causes of athletes’ sports injuries, providing a theoretical basis for reducing the occurrence of sports injuries and increasing the success rate of athletes. Methods: This article uses statistical methods to investigate and analyze the causes of athletes’ sports injuries. Results: Four important factors lead to athletes’ sports injuries: poor physical fitness, inadequate warm-up activities, incorrect techniques, and excessive loads. Conclusion: Coaches should systematically prepare multi-year training plans, step by step, and pay attention to long-term effects. This is the only way athletes can achieve their best performance at the appropriate age. Level of evidence II; Therapeutic studies - investigation of treatment results.
Background: In this research, imaging techniques such as CT and X-ray are used to locate important muscles in the shoulders and legs. Athletes who participate in sports that require running, jumping, or throwing are more likely to get injuries such as sprains, strains, tendinitis, fractures, and dislocations. One proposed automated technique has the overarching goal of enhancing recognition. Objective: This study aims to determine how to recognize the major muscles in the shoulder and leg utilizing X-ray CT images as its primary diagnostic tool. Methods: Using a shape model, discovering landmarks, and generating a form model are the steps necessary to identify injuries in key shoulder and leg muscles. The method also involves identifying injuries in significant abdominal muscles. The use of adversarial deep learning, and more specifically Deep-Injury Region Identification, can improve the ability to identify damaged muscle in X-ray and CT images. Results: Applying the proposed diagnostic model to 150 sets of CT images, the study results show that Jaccard similarity coefficient (JSC) rate for the procedure is 0.724, the repeatability is 0.678, and the accuracy is 94.9% respectively. Conclusion: The study results demonstrate feasibility of using adversarial deep learning and deep-injury region identification to automatically detect severe muscle injuries in the shoulder and leg, which can enhance the identification and diagnosis of injuries in athletes, especially for those who compete in sports that include running, jumping, and throwing.
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