Abstract
The present paper proposes a method of capturing real-time motions without any inconvenient suit by using several inexpensive sensors vulnerable to joint occlusion and body rotation. Depth data and ICP algorithm are used for calibration. Then, the left and right sides of joints are determined, and the optimal joints are chosen based on the variation in rotation to restore postures. The similarity between the motions captured by the proposed multiple sensors and those captured by a commercial motion capture system is over 85 %.
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Acknowledgments
This research project was supported by the Sports Promotion Fund of Seoul Olympic Sports Promotion Foundation from Ministry of Culture, Sports and Tourism.
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Baek, S., Kim, M. (2017). Real-Time Dynamic Motion Capture Using Multiple Kinects. In: Park, J., Pan, Y., Yi, G., Loia, V. (eds) Advances in Computer Science and Ubiquitous Computing. UCAWSN CUTE CSA 2016 2016 2016. Lecture Notes in Electrical Engineering, vol 421. Springer, Singapore. https://doi.org/10.1007/978-981-10-3023-9_5
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DOI: https://doi.org/10.1007/978-981-10-3023-9_5
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