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基于 Kinect 和小样本技术的高原地区篮球运动员体能与健康训练模型模拟。

Kinect and Few-Shot Technology-Based Simulation of Physical Fitness and Health Training Model for Basketball Players in Plateau Area.

机构信息

Teaching and Research Section of Basketball, College of Sports Science, Dali University, Dali 671003, China.

出版信息

Comput Intell Neurosci. 2022 Apr 11;2022:2256522. doi: 10.1155/2022/2256522. eCollection 2022.

DOI:10.1155/2022/2256522
PMID:35449737
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9017528/
Abstract

Players in modern basketball have a lot of physical contact, a lot of bumps, and a lot of physical struggles. The competition for the ball, whether in the air or on the ground, is fierce, putting higher demands on the players' physical abilities. Coaches frequently use plateau physical training, which is very effective in developing athletes' cardiopulmonary function, among many other training methods. The proportional length and active area of arms are obtained using the skin color model of the human body, the angle and posture information of each joint is extracted from dynamics, and the 3D posture of arms and dynamic arms is trained and recognized in this paper, which is based on Kinect. The findings revealed that mild hypoxia in the plateau significantly lowered basketball players' performance and that basketball players' maximum heart rate and 1-minute heart rate recovery in high-intensity exercise were lower than those in flat area training.

摘要

现代篮球运动员有很多身体接触,很多碰撞,很多身体对抗。球的争夺,无论是在空中还是在地面上,都很激烈,这对运动员的身体素质提出了更高的要求。教练经常使用高原体能训练,这种训练方法在发展运动员心肺功能等方面非常有效。手臂的比例长度和活动区域是通过人体肤色模型获得的,每个关节的角度和姿势信息是从动力学中提取的,本文基于 Kinect 对手臂的三维姿势和动态手臂进行了训练和识别。研究结果表明,高原地区的轻度缺氧显著降低了篮球运动员的表现,并且篮球运动员在高强度运动中的最大心率和 1 分钟心率恢复都低于在平原地区训练的水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a32/9017528/1901c6770242/CIN2022-2256522.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a32/9017528/1cc9a869c005/CIN2022-2256522.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a32/9017528/3cbad0f76326/CIN2022-2256522.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a32/9017528/673667846039/CIN2022-2256522.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a32/9017528/394aaf9a293b/CIN2022-2256522.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a32/9017528/936d270d41ab/CIN2022-2256522.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a32/9017528/cbc195e9e184/CIN2022-2256522.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a32/9017528/d6243aeb8eac/CIN2022-2256522.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a32/9017528/ae7c2749d08d/CIN2022-2256522.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a32/9017528/1901c6770242/CIN2022-2256522.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a32/9017528/1cc9a869c005/CIN2022-2256522.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a32/9017528/3cbad0f76326/CIN2022-2256522.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a32/9017528/673667846039/CIN2022-2256522.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a32/9017528/394aaf9a293b/CIN2022-2256522.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a32/9017528/936d270d41ab/CIN2022-2256522.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a32/9017528/cbc195e9e184/CIN2022-2256522.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a32/9017528/d6243aeb8eac/CIN2022-2256522.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a32/9017528/ae7c2749d08d/CIN2022-2256522.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a32/9017528/1901c6770242/CIN2022-2256522.009.jpg

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