In recent years, the physical quality of middle school students in China has generally declined, which has attracted the attention of the state and the Ministry of education. With the development of Internet technology, China’s physical education teaching environment has gradually become intelligent. This article mainly studies the mobile terminal equipment and methods of martial arts movement correction in the intelligent physical education environment. 21 young martial arts athletes were selected as the research objects. In the experiment, functional screening (FMS) was used to test the martial arts athletes, followed by FMS tests and scores. A video camera was used to record the motion test from the subjects’ sagittal and frontal planes. Using wireless sensor technology to collect the athletes’ motion signals, after the twelfth week, the FMS, SEBT, and the number of successful routines were tested on the two groups of athletes, respectively. The pre-test data and the post-correction data of the two test indicators were compared and analyzed. There is no significant difference. The necessary statistics and integration of the obtained data are carried out by using the calculation methods in sports statistics. The experimental data showed that the average total scores of FMS screening test of Changquan athletes and Taijiquan athletes were 14.71 ± 1.52 and 16.20 ± 1.32, respectively. The results of the research on the mobile terminal equipment and methods of martial arts movement correction in the intelligent sports environment show that the mobile terminal equipment can improve the independent training ability of athletes, and at the same time has a good correction effect on irregular movements.
With the further advancement of microelectronics innovation and sensors, sensors can be broadly implanted in cell phone gadgets, compact gadgets, and so forth. The utilization of speed increase sensors for human running checking has expansive application possibilities. From one perspective, the everyday development of the human body is firmly connected with the physical and emotional wellness of the person. Observing the day-to-day developments of the human body is of incredible importance in planning a logical running activity plan and working on actual wellbeing. On the other hand, it is also of practical value to monitor human abnormal movements. This kind of abnormal movement caused by accidental falls can bring certain harm to the human body. Real-time monitoring of the fall can provide timely assistance to the person and reduce the risk brought by the fall. This article analyzes and summarizes the research theories and common research methods in the field of 50 m round-trip movement monitoring based on the acceleration sensor. According to the process of 50 m round-trip movement pattern recognition, the data collection, preprocessing, feature extraction, and selection of 50 m round-trip movement are evaluated. The classification and recognition of each module were analyzed. This article proposes a human body motion recognition mechanism based on acceleration sensors by looking at the three trademark upsides, the wavefront edge, wavefront limit, and time stretch between the pinnacle and valley of the speed increase sensor vertical information waveform, and joining the rule of choice tree order to accomplish the activities of hunching down, taking off, and running. To get an accurate recognizable proof and recognize ways of behaving, a human fall identification calculation is proposed. This calculation removes human movement attributes throughout the fall and focuses on four sorts of falls: forward fall, reverse fall, left fall, and right fall by utilizing the connection of the three tomahawks of the speed increase sensor. The trial results show that the normal right acknowledgment pace of the human body’s 50 m full-circle running way of behaviour is more than 90%, which has specific useful application esteem.
Medical imaging can be used as a medical aid for diagnosis and treatment, and color Doppler ultrasound can also be used in life science research as a scientific research method. Wushu is a traditional sport in China, which has a long history of development. Martial arts are a very good fitness project, but different from ordinary people, professional martial arts athletes are often accompanied by a variety of sports injuries, and tendon ligament injury is one of the most common injuries. At present, there are many treatment plans for tendon and ligament injury, but there are few researches on the repair effect of tendon and ligament injury. This paper will take this as the main research purpose for in-depth study. In view of the problem that ligament injury is not easy to observe, this paper will use GE Lightspeed 64 row spiral CT as the main observation tool and use the method of hospital image observation to compare and analyze the repair effect of tendon and ligament injury of Wushu athletes. In this experiment, 88 professional Wushu athletes were gathered as experimental samples. After preliminary screening, 110 cases of ligament injury were counted. After analyzing the abnormal changes of tissue or structure, Lysholm, and IKDC treatment effect score data, this paper believes that, for type I patients, only conservative treatment can achieve good results. However, in the more serious and complex type II patients, local fixation is used after the onset of the disease, and very serious patients can achieve good results through surgical treatment. Postoperative care is also important, which helps reduce complications. This experiment has achieved ideal results and has played a blank role in the research of the repair effect of tendon and ligament injury of Wushu athletes at home and abroad.
Artificial intelligence, as one of the important representatives of information technology development, gradually penetrates into all fields of education and teaching, and the forms of education and teaching become diversified. Teaching with the core of students’ core literacy cultivation and digital transformation as the background has produced incompatibility with the current development in terms of teaching purpose, teaching value, teaching methods, and teaching ability, which has become an obstacle to the development and reform of education and teaching. In the current era, we should do a good job of integrating information technology and education teaching, transforming traditional teaching habits, focusing on the core value of teaching, and realizing the transformation from teaching to learning in the context of digitalization. The development of artificial intelligence way education refers to the use of new technology to promote talent training, so that the traditional education and teaching methods are changed to form a new education form of intelligent learning, interactive learning, and deep learning.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.