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

• Published in: Pattern recognition Vol. 119; p. 108095
• Main Authors: Yu, Bruce X.B., Liu, Yan, Chan, Keith C.C., Yang, Qintai, Wang, Xiaoying
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.11.2021
• Subjects: Abnormality detection; Alzheimer’s disease; Graph neural network; Human action evaluation; Abnormality detection; Human action evaluation; Alzheimer’s disease; Graph neural network

•We propose a novel two-task graph convolutional network (2T-GCN) to represent skeleton data for human action evaluation (HAE) tasks of abnormality detection and quality evaluation. To the best of our knowledge, this is the first work that applies GCN to skeleton-based HAE.•We validate the effective...