In order to improve the recognition accuracy of human falling actions, the impact of randomness of actions is reduced. To this end, this paper proposes an automatic recognition method for physical fitness human fall based on pose data sequence. The color camera is used to collect the fall motion images of the physical fitness personnel, and the motion image preprocessing is completed by extracting the fall motion features of the human body, tracking and adjusting the fall motion of the human body. A model of human body fall movement displacement feature extraction from posture data sequence is constructed. By tracking the displacement feature points, the automatic recognition of physical fitness human body fall movement based on posture data sequence is realized. The experimental results confirm that the proposed method can effectively obtain the details of the fall motion images of physical fitness. When the number of human falling actions reaches 500, the accuracy of action recognition is also as high as 77%, improving the recognition effect of human fall action.
Introduction: Lifting weights requires muscular capacity, strength, and determination. Strength training for weightlifters stimulates the nervous system and promotes muscle hypertrophy. Strength training is the most important point in weightlifters' training. Objective: Explore the effects of abdominal core strength training on the physical fitness of weightlifters. Methods: 26 weightlifters were selected by random sampling. The athletes participated in physical training for 26 weeks. Athletes' physical fitness was measured before and after training. Tests included the y-Balance test, stability exercises, and abdominal center strength. After each training session, the players used foam rollers and baseballs for recovery training. After the experiment was completed, the data was analyzed by mathematical statistics. Results: The left lower limb stability of the weightlifters was better than the right in the Ans direction; in all three directions, there were extremely significant ipsilateral differences before and after the experiment(P<0.05). There was a highly significant difference between the level and super level of the ipsilateral upper limbs of the athletes (P<0.05). Conclusion: Weightlifters who practiced abdominal core strength exercises significantly improved the dynamic stability of the lower limbs. Young male weightlifters' upper limb motion stability is more symmetrical during abdominal core strength exercises. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.
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
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.