Contrastive Learning for Action Assessment Using Graph Convolutional Networks With Augmented Virtual Joints
A fine-grained detection of posture problems for action assessment has a wide range of applications for health care, sports, and rehabilitation. However, there exist many design challenges, e.g., the difficulty of detecting subtle deviations in actions from standard ones, lack of annotated datasets,...
Main Authors: | Chung-In Joung, Seunghwan Byun, Seungjun Baek |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10217805/ |
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