Ali Hussein Al-Dabbagh PhD student Flinders University ,2015 Contact
Main project: Detecting and using locomotion affordances for lower-limb prostheses by active vision Funding: UCLouvain scholorship Supervisor(s): Renaud Ronsse
Healthy lower-limb biomechanics reveals that active prostheses are necessary to provide amputees with human-like dynamics in various locomotion tasks like walking or stair ascending/descending. Ali’s project is about the specific challenges associated to the transition between two of these tasks, where the control parameters of the device has to be smoothly and timely adapted. Active vision is proposed to be used to augment the prosthesis with vision-based detection of possible locomotion affordances, therefore anticipating these transitions as a function of the user’s behavior.
IMMC main research direction(s): Biomedical engineering Computational science
Keywords: computer vision robotics
Research group(s): MEED
Recent publicationsSee complete list of publications
Journal Articles
1. Al-Dabbagh, Ali Hussein; Ronsse, Renaud. A review of terrain detection systems for applications in locomotion assistance. In: Robotics and Autonomous Systems, Vol. 133, p. 103628 (2020). doi:10.1016/j.robot.2020.103628. http://hdl.handle.net/2078.1/232844
Conference Papers
1. Al-Dabbagh, Ali Hussein; Ronsse, Renaud. A New Terrain Recognition Approach for Predictive Control of Assistive Devices Using Depth Vision. In: Biosystems & Biorobotics, Moreno J.C. Masood J. Schneider U. Maufroy C. Pons J.L. 2022, 978-3-030-69546-0, p. 443-447 xxx. doi:10.1007/978-3-030-69547-7_71. http://hdl.handle.net/2078.1/248928
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