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

Use and Perceptions of Technology in Everyday Life and for Rehabilitation (45) Wearable Devices and Sensors (1133)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66886, first published .
Validation of Gait Kinematics With Ramp and Stair Ascent and Descent Revealed by Markerless Motion Capture in Simulated Living Space: Test-Retest Reliability Study

Validation of Gait Kinematics With Ramp and Stair Ascent and Descent Revealed by Markerless Motion Capture in Simulated Living Space: Test-Retest Reliability Study

Validation of Gait Kinematics With Ramp and Stair Ascent and Descent Revealed by Markerless Motion Capture in Simulated Living Space: Test-Retest Reliability Study

Authors of this article:

Daiki Shimotori1 Author Orcid Image ;   Kenji Kato2 Author Orcid Image ;   Tatsuya Yoshimi2 Author Orcid Image ;   Izumi Kondo3 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Yin K, Hao P, Zhao H, Lou P, Chen Y. High-Accuracy Lower-Limb Intent Recognition: A KPCA-ISSA-SVM Approach with sEMG-IMU Sensor Fusion. Biomimetics 2025;10(9):609 View
  2. Shimotori D, Fujisawa S, Nishimura M, Yoshimi T, Kato K. Enhancing Self-Efficacy Through Robotic Safety Support in Balance-Challenging Reach Tasks: Feasibility Study in Young Adults. JMIR Rehabilitation and Assistive Technologies 2025;12:e81263 View