Pose Uncertainty Aware Movement Synchrony Estimation via Spatial-Temporal Graph Transformer
Author:
Affiliation:
1. Computer Information and Sciences, University of Delaware, United States
2. Department of Physical Therapy, University of Delaware, United States
3. Computer and Information Sciences, University of Delaware, United States
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3536221.3556627
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3. Donald J Berndt and James Clifford . 1994 . Using dynamic time warping to find patterns in time series .. In KDD workshop, Vol. 10 . Seattle, WA, USA:, 359–370. Donald J Berndt and James Clifford. 1994. Using dynamic time warping to find patterns in time series.. In KDD workshop, Vol. 10. Seattle, WA, USA:, 359–370.
4. Cristian Buciluundefined , Rich Caruana , and Alexandru Niculescu-Mizil . 2006 . Model Compression. In Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ( Philadelphia, PA, USA) (KDD ’06). Association for Computing Machinery, New York, NY, USA, 535–541. https://doi.org/10.1145/1150402.1150464 10.1145/1150402.1150464 Cristian Buciluundefined, Rich Caruana, and Alexandru Niculescu-Mizil. 2006. Model Compression. In Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Philadelphia, PA, USA) (KDD ’06). Association for Computing Machinery, New York, NY, USA, 535–541. https://doi.org/10.1145/1150402.1150464
5. Gabriele Calabrò Andrea Bizzego Stefano Cainelli Cesare Furlanello and Paola Venuti. 2021. M-MS: A Multi-Modal Synchrony Dataset to Explore Dyadic Interaction in ASD. In Progresses in Artificial Intelligence and Neural Systems. Springer 543–553. Gabriele Calabrò Andrea Bizzego Stefano Cainelli Cesare Furlanello and Paola Venuti. 2021. M-MS: A Multi-Modal Synchrony Dataset to Explore Dyadic Interaction in ASD. In Progresses in Artificial Intelligence and Neural Systems. Springer 543–553.
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