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,...

Full description

Bibliographic Details
Main Authors: Chung-In Joung, Seunghwan Byun, Seungjun Baek
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10217805/