Abstract
We designed a human motion statistics system, which is used to count users’ physical activity. The system is based on the recognition of human action, which depends on 3D human pose estimation. We combine the probability model of 3D human pose with the multi-layer CNN architecture to obtain the 3D human pose estimation. Then, different actions are defined by the proportion of distance between each joint, and the amount of action is counted. The total calories burned during exercise are obtained by calculating the calories consumed in each action. Our system is simple and convenient, and can be used in many situations. The experimental results show that our system achieved the desired results.
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Huo, Y., Zou, L., Gao, M., Wang, J., Guo, X., Sun, J. (2019). A System for Calculating the Amount of Motion Based on 3D Pose Estimation. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11633. Springer, Cham. https://doi.org/10.1007/978-3-030-24265-7_40
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DOI: https://doi.org/10.1007/978-3-030-24265-7_40
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