Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 14, issue 2
Articles | Volume 14, issue 2
https://doi.org/10.5194/ms-14-315-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-14-315-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 2
Research article
 | 
09 Aug 2023
Research article |  | 09 Aug 2023

Gait analysis algorithm for lower limb rehabilitation robot applications

Li Zheng and Tao Song

Viewed

Total article views: 871 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
701 142 28 871 19 17
  • HTML: 701
  • PDF: 142
  • XML: 28
  • Total: 871
  • BibTeX: 19
  • EndNote: 17
Views and downloads (calculated since 09 Aug 2023)
Cumulative views and downloads (calculated since 09 Aug 2023)

Viewed (geographical distribution)

Total article views: 845 (including HTML, PDF, and XML) Thereof 845 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 22 Nov 2024
Download
Short summary
In this paper, a gait analysis algorithm for a lower limb rehabilitation robot is proposed. The algorithm realizes the division of gait temporal information and the design of a gait spatiotemporal parameter algorithm based on lidar. A spatial parameter-splicing algorithm based on a time series is proposed, which effectively reduces the influence of errors on gait parameters. Based on the gait algorithm, aiming at real-time algorithm performance, a dynamic window method is proposed.
Read more