Nov 4, 2021 · During the training phase, we optimized a self-supervised regularization branch to predict the future action frames from the extracted features.
Clinical relevance-This work established a supervised learning method to automatically assess physical rehabilitation exercises in the home environment using ...
Assessing Physical Rehabilitation Exercises using Graph ...
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This work established a supervised learning method to automatically assess physical rehabilitation exercises in the home environment using computer vision
Assessing Physical Rehabilitation Exercises using Graph Convolutional Network with Self-supervised regularization · Chen DuS. GrahamC. DeppTruong Q. Nguyen.
Automatic assessment of physical rehabilitation exercises aims to assign a quality score given an RGBD video of the body movement as input.
Missing: supervised regularization.
May 22, 2024 · In this paper, an Expert-knowledge-based Graph Convolutional approach is proposed to automate the assessment of the quality of physical ...
May 17, 2024 · In this paper, an Expert-knowledge-based Graph Convolutional approach is proposed to automate the assessment of the quality of physical ...
Oct 21, 2022 · ... Assessing physical rehabilitation ex- ercises using graph convolutional network with self-supervised regularization. In: 2021 43rd Annual ...
Co-authors ; Assessing physical rehabilitation exercises using graph convolutional network with self-supervised regularization. C Du, S Graham, C Depp, T Nguyen.
Aug 2, 2024 · In this paper, we propose a deep learning-based framework for automated assessment of the quality of physical rehabilitation exercises. The main ...