Accessibility settings

This paper is in the following e-collection/theme issue:

Technology in Physiotherapy (290) Cognitive and Neurorehabilitation (435) Machine Learning (3145) Stroke (317)

Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/94031, first published .
Doctor monitors patient on elliptical during cardiac stress test in lab

Deep Learning–Based Automated Clinical Gait Assessment From Kinematic Data in People With Stroke: Development and Validation Study

Deep Learning–Based Automated Clinical Gait Assessment From Kinematic Data in People With Stroke: Development and Validation Study

Authors of this article:

Zhexuan Gu1 Author Orcid Image ;   Jiaqi Li2, 3 Author Orcid Image ;   Wenbin Zhou4 Author Orcid Image ;   Kenneth N K Fong2 Author Orcid Image ;   Lin Wang3 Author Orcid Image ;   Eng Keong Lua5 Author Orcid Image ;   Patrick W H Kwong2 Author Orcid Image ;   Yancheng Yuan6 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Zhexuan Gu   1 * , MSc ;   Jiaqi Li   2, 3 * , MSc ;   Wenbin Zhou   4 , MSc ;   Kenneth N K Fong   2 , PhD ;   Lin Wang   3 , PhD ;   Eng Keong Lua   5 , PhD ;   Patrick W H Kwong   2 , PhD ;   Yancheng Yuan   6 , PhD

1 Department of Data Science & Artificial Intelligence, Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)

2 Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)

3 Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

4 Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China (Hong Kong)

5 Computer Laboratory, University of Cambridge, Cambridge, England, United Kingdom

6 Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)

*these authors contributed equally

Corresponding Author:

  • Patrick W H Kwong, PhD
  • Department of Rehabilitation Sciences
  • The Hong Kong Polytechnic University
  • 11 Yuk Choi Road, Hung Hom, KLN
  • Hong Kong
  • China (Hong Kong)
  • Phone: 852 3400 3958
  • Email: wai-hang.kwong@polyu.edu.hk