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

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Al-Dabbagh, Ali [UCL] Ronsse, Renaud [UCL]

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.

Document type Communication à un colloque (Conference Paper) – Poster
Access type Accès libre
Publication date 2023
Language Anglais
Conference "Computer Vision for Wearable Robotics Workshop at International Conference on Robotics and Automation (ICRA) 2023", London (02/06/2023)
Affiliations UCL - SST/IMMC/MEED - Mechatronic, Electrical Energy, and Dynamics Systems
UCL - SSS/IONS/COSY - Systems & cognitive Neuroscience
Links
Bibliographic reference Al-Dabbagh, Ali ; Ronsse, Renaud. 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, 02/06/2023).
Permanent URL http://hdl.handle.net/2078.1/275394