088 ASYMMILIEU
Quantification of reaction forces on the handrail using inertial sensors – use of deep learning.
Intervention area
Mobility
Start date
September 1, 2017
End date
August 1, 2019
Propulsion in a manual wheelchair (FR) is an extremely demanding task, due to the inherent conflict between the forces generated at the shoulder girdle and their transmission through the elbow joint to the FR wheel handrail. Several years ago, we developed a simulator that enables us to eliminate the weight of these wheels and integrate virtual friction based on our knowledge of the natural environment. The aim of this project is to develop a portable, lightweight instrument based on inertial sensors and contact modeling, which will enable us to measure the forces and moments of reaction at the handrail during mobility activities for manual FR users.
Lead applicant
Rachid Aissaoui
École de technologie supérieure
Génie des systèmes
28 INTER mandates
Team
Dany Gagnon
Université de Montréal
Réadaptation
Former INTER member
7 INTER mandates
Félix Chénier
Université du Québec à Montréal
Sciences de l'activité physique
9 INTER mandates