AI Coach: A Motor Skill Training System using Motion Discrepancy Detection

Author:

Liao Chen-Chieh1ORCID,Hwang Dong-Hyun2ORCID,Wu Erwin1ORCID,Koike Hideki1ORCID

Affiliation:

1. School of Computing, Tokyo Institute of Technology, Japan

2. Voice&Avatar, NAVER Cloud, South Korea

Funder

JST CREST

Publisher

ACM

Reference48 articles.

1. Davide Abati , Angelo Porrello , Simone Calderara , and Rita Cucchiara . 2019 . Latent Space Autoregression for Novelty Detection. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 481–490 . https://doi.org/10.1109/CVPR.2019.00057 10.1109/CVPR.2019.00057 Davide Abati, Angelo Porrello, Simone Calderara, and Rita Cucchiara. 2019. Latent Space Autoregression for Novelty Detection. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 481–490. https://doi.org/10.1109/CVPR.2019.00057

2. Deformation-Based Abnormal Motion Detection using 3D Skeletons

3. Donald  J. Berndt and James Clifford. 1994. Using Dynamic Time Warping to Find Patterns in Time Series . In Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining ( Seattle, WA) (AAAIWS’94). AAAI Press, 359–370. Donald J. Berndt and James Clifford. 1994. Using Dynamic Time Warping to Find Patterns in Time Series. In Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining (Seattle, WA) (AAAIWS’94). AAAI Press, 359–370.

4. John Brooke . 1996 . SUS: A quick and dirty usability scale. John Brooke. 1996. SUS: A quick and dirty usability scale.

5. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields

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