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Skeleton-based human action evaluation using graph convolutional network for monitoring Alzheimer’s progression

  • Published:2021-11 Issue: Volume:119 Page:108095
  • ISSN:0031-3203
  • Container-title:Pattern Recognition
  • language:en
  • Short-container-title:Pattern Recognition

Author:

Yu Bruce X.B.,Liu Yan,Chan Keith C.C.,Yang Qintai,Wang Xiaoying

Funder

Hong Kong Polytechnic University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference40 articles.

1. RGB-D sensing based human action and interaction analysis: a survey;Liu;Pattern Recognit.,2019

2. A survey of vision-based human action evaluation methods;Lei;Sensors,2019

3. Motion analysis: action detection, recognition and evaluation based on motion capture data;Patrona;Pattern Recognit.,2018

4. Generative adversarial networks for generation and classification of physical rehabilitation movement episodes;Li;Int. J. Mach. Learn.Comput.,2018

5. A deep learning framework for assessing physical rehabilitation exercises;Liao;IEEE Trans. Neural Syst.Rehabil. Eng.,2020

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