Ali Hussein Al-Dabbagh
PhD student
Flinders University ,2015

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

computer vision

Research group(s): MEED

Recent publications

See 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.

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.