Quantification of reaction forces on the handrail using inertial sensors – use of deep learning.

Intervention area


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


Dany Gagnon

Université de Montréal


Former INTER member

7 INTER mandates

Félix Chénier

Université du Québec à Montréal

Sciences de l'activité physique

9 INTER mandates