REAL-TIME MOTION IMAGE POSE DECOMPOSITION, CLASSIFICATION AND ANALYSIS

Chien-Hsing Huang
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Abstract

Exercise can boost metabolism and make the body healthier. It also increases metabolic rate, helping to consume more calories and burn fat. Regular exercise can stimulate the brain to secrete endorphins, making people feel relaxed and happy, and improves self-confidence, and has been shown to reduce symptoms in people with depression and anxiety. However, incorrect exercise posture may cause harm to the body, such as torn ligaments or muscle strains, so good exercise posture is needed to improve sports performance. This article proposes to use artificial intelligence image analysis method to decompose fitness exercise posture images and establish exercise posture cycle samples to assist in completing fitness exercises.
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实时运动图像姿态分解、分类和分析
运动可以促进新陈代谢,让身体更健康。运动还能提高新陈代谢率,有助于消耗更多热量和燃烧脂肪。经常运动可以刺激大脑分泌内啡肽,使人感到轻松愉快,增强自信心,并能减轻抑郁症和焦虑症患者的症状。然而,不正确的运动姿势可能会对身体造成伤害,如韧带撕裂或肌肉拉伤,因此需要良好的运动姿势来提高运动成绩。本文拟采用人工智能图像分析方法分解健身运动姿势图像,建立运动姿势循环样本,辅助完成健身运动。
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