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.
Publisher
Granthaalayah Publications and Printers
Reference10 articles.
1. Andriluka, M., Pishchulin, L., Gehler, P., & Schiele, B. (2014). 2d Human Pose Estimation: New Benchmark and State of the Art Analysis. In Proceedings of the IEEE Conference on computer Vision and Pattern Recognition, 3686-3693. https://doi.org/10.1109/CVPR.2014.471
2. Dang, Q., Yin, J., Wang, B., & Zheng, W. (2019). Deep Learning Based 2d Human Pose Estimation: A Survey. Tsinghua Science and Technology, 24(6), 663-676. https://doi.org/10.26599/TST.2018.9010100
3. Google MediaPipe (n.d.). Pose Landmark Detection Guide.
4. Guthrie, E. R. (1952). The Psychology of Learning. New York: Harper & Row.
5. Lugaresi, C., Tang, J., Nash, H., McClanahan, C., Uboweja, E., Hays, M., & Grundmann, M. (2019). Mediapipe: A Framework for Building Perception Pipelines. https://doi.org/10.48550/arXiv.1906.08172