Gait features estimation for depth vision-based terrains recognition approach using wearable sensor

Al-Dabbagh, Ali;Ronsse, Renaud
(2023) Computer Vision for Wearable Robotics Workshop at International Conference on Robotics and Automation (ICRA) 2023 — Location: London (2.June.2023)

Files

Workshop_abstractV2_final.pdf
  • Open Access
  • Adobe PDF
  • 1.52 MB
Download

Details

Authors
Abstract
Vision systems for wearables have become a topic of interest in many bionics applications. This paper presents a wearable visual-inertial system to detect several types of terrains and gait features during bipedal locomotion. The system showed remarkable ability in identifying the targeted parameters. In the future, such a system could be used to provide better predictive control for disabled people use active prostheses and exoskeletons.
Affiliations

Citations

  • APA
  • Chicago
  • FWB

Al-Dabbagh, A., & Ronsse, R. (2023). Gait features estimation for depth vision-based terrains recognition approach using wearable sensor. Computer Vision for Wearable Robotics Workshop at International Conference on Robotics and Automation (ICRA) 2023, London. https://hdl.handle.net/2078.5/104999