Automatic Rowing Kinematic Analysis Using OpenPose and Dynamic Time Warping
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-70601-2_93
Reference18 articles.
1. Güler RA, Neverova N, Kokkinos I (2018) Densepose: Dense human pose estimation in the wild. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 7297–7306
2. Berndt D, Clifford J (1994) DTW (dynamic time warping). Workshop on knowledge knowledge discovery in databases 398:359–370
3. Bingul BM et al (2014) Two-dimensional kinematic analysis of catch and finish positions during a 2000 m rowing ergometer time trial. S Afr J Res Sport Phys Educ Recreat 36(3):1–10. ISSN: 03799069
4. Bosch S et al (2015) Analysis of indoor rowing motion using wearable inertial sensors. In: Proceedings of the 10th EAI international conference on body area networks. ICST, pp 233–239. ISBN: 978- 1-63190-084-6. https://doi.org/10.4108/eai.28-9-2015. 2261465
5. Cao Z et al (2018) OpenPose: realtime multi-person 2D pose estimation using part affinity fields. http://arxiv.org/abs/1812.08008
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