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Detection of Gait Abnormalities caused by Neurological Disorders

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Document pages: 6 pages

Abstract: In this paper, we leverage gait to potentially detect some of the importantneurological disorders, namely Parkinson s disease, Diplegia, Hemiplegia, andHuntington s Chorea. Persons with these neurological disorders often have avery abnormal gait, which motivates us to target gait for their potentialdetection. Some of the abnormalities involve the circumduction of legs,forward-bending, involuntary movements, etc. To detect such abnormalities ingait, we develop gait features from the key-points of the human pose, namelyshoulders, elbows, hips, knees, ankles, etc. To evaluate the effectiveness ofour gait features in detecting the abnormalities related to these diseases, webuild a synthetic video dataset of persons mimicking the gait of persons withsuch disorders, considering the difficulty in finding a sufficient number ofpeople with these disorders. We name it textit{NeuroSynGait} video dataset.Experiments demonstrated that our gait features were indeed successful indetecting these abnormalities.

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