Deep-Cogn: Skeleton-based Human Action Recognition for Cognitive Behavior Assessment
Author:
Affiliation:
1. School of Medicine Yale University, New Haven University,USA
2. School of Medicine, Yale University,USA
3. School of Computing, National University of Singapore,Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10097829/10097885/10098040.pdf?arnumber=10098040
Reference45 articles.
1. CogniLearn
2. A Closer Look at Spatiotemporal Convolutions for Action Recognition
3. SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation
4. Video Classification With Channel-Separated Convolutional Networks
5. Alleviating Over-segmentation Errors by Detecting Action Boundaries
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. The Automated Test of Embodied Cognition: Concept, Development, and Preliminary Findings;Brain Sciences;2023-05-25
2. Mind in Action: Cognitive Assessment Using Action Recognition;Lecture Notes in Computer Science;2023
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