SAIL: A Deep-Learning-Based System for Automatic Gait Assessment From TUG Videos

Author:

Wang YanhongORCID,Zou QiaoshaORCID,Tang Yanmin,Wang Qing,Ding Jing,Wang Xin,Shi C.-J. Richard

Funder

Ministry of Science and Technology of the People’s Republic of China

Science and Technology Commission of Shanghai Municipality

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automatic two-dimensional & three-dimensional video analysis with deep learning for movement disorders: A systematic review;Artificial Intelligence in Medicine;2024-10

2. Revolutionizing Gait Analysis with Blockchain Technology: Enhancing the Privacy and Security;Contributions to Environmental Sciences & Innovative Business Technology;2024

3. Classification of Movement Disorders Using Video Recordings of Gait with Attention-based Graph Convolutional Networks;2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI);2023-10-15

4. Nested Densely Atrous Spatial Pyramid Pooling and Deep Dense Short Connection for Skeleton Detection;IEEE Transactions on Human-Machine Systems;2023-02

5. Diagnosis of Cerebellar Ataxia Based on Gait Analysis Using Human Pose Estimation: A Deep Learning Approach;2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES);2022-12-07

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