arXiv 1508.024052015-08-10cs.CV

Gait Assessment for Multiple Sclerosis Patients Using Microsoft Kinect

McGill University（麦吉尔大学）；McGill University Health Centre（麦吉尔大学健康中心）；Montreal Neurological Institute and Hospital（蒙特利尔神经学研究所及医院）；AreteX Engineering（AreteX工程公司）

Farnood Gholami, Daria A. Trojan, Jozsef Kovecses, Wassim M. Haddad, Behnood Gholami

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Gait analysis of patients with neurological disorders, including multiple sclerosis (MS), is important for rehabilitation and treatment. The Mircrosoft Kinect sensor, which was developed for motion recognition in gaming applications, is an ideal candidate for an inexpensive system providing the capability for human gait analysis. In this research, we develop a framework to quantify the gait abnormality of MS patients using a Kinect for Windows camera. In addition to the previously introduced gait indices, a novel set of MS gait indices based on the concept of dynamic time warping is introduced. The newly introduced indices can characterize a patient's gait pattern as a whole and quantify a subject's gait distance from the healthy population. We will investigate the correlation of gait indices with the multiple sclerosis walking scale (MSWS) and the clinical ambulation score. This work establishes the feasibility of using the Kinect sensor for clinical gait assessment for MS patients.

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