Towards an affordable mobile analysis platform for pathological walking assessment - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Journal Articles Robotics and Autonomous Systems Year : 2015

Towards an affordable mobile analysis platform for pathological walking assessment

Abstract

This paper proposes an affordable mobile platform for pathological gait analysis. Gait spatio-temporal parameters are of great importance in clinical evaluation but often require expensive equipment and are limited to a small and controlled environment. The proposed system uses state-of-the art robotic tools, in contrast to their original use, for the development of a robust low-cost diagnostic decision-making tool. The mobile system, which is driven by a Kinect sensor, is able to (1) follow a patient at a constant distance on his own defined path, and (2) to estimate the gait spatio-temporal parameters. The Robust Tracking-Learning-Detection algorithm estimates the positions of the targets attached to the trunk and heels of the patient. Real-condition experimental validation including the corridor, occlusion cases, and illumination changes was performed. A gold standard stereophotogrammetric system was also used and showed good tracking of the patient and an accuracy in the stride length estimate of 2%. Finally, preliminary results showed an RMS error that was below 10°in the 3D lower-limb joint angle estimates during walking on a treadmill.
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Dates and versions

lirmm-01348662 , version 1 (25-07-2016)

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Vincent Bonnet, Christine Azevedo Coste, Lionel Lapierre, Jennifer Cadic, Philippe Fraisse, et al.. Towards an affordable mobile analysis platform for pathological walking assessment. Robotics and Autonomous Systems, 2015, 66, pp.116-128. ⟨10.1016/j.robot.2014.12.002⟩. ⟨lirmm-01348662⟩
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