Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/14720
Title: Detection of Gait Abnormalities caused by Neurological Disorders
Authors: Goyal D.
Rao Jerripothula K.
Mittal A.
Issue Date: 2020
Citation: IEEE 22nd International Workshop on Multimedia Signal Processing, MMSP 2020 , Vol. , , p. -
Abstract: In this paper, we leverage gait to potentially detect some of the important neurological disorders, namely Parkinson's disease, Diplegia, Hemiplegia, and Huntington's Chorea. Persons with these neurological disorders often have a very abnormal gait, which motivates us to target gait for their potential detection. Some of the abnormalities involve the circumduction of legs, forward-bending, involuntary movements, etc. To detect such abnormalities in gait, we develop gait features from the key-points of the human pose, namely shoulders, elbows, hips, knees, ankles, etc. To evaluate the effectiveness of our gait features in detecting the abnormalities related to these diseases, we build a synthetic video dataset of persons mimicking the gait of persons with such disorders, considering the difficulty in finding a sufficient number of people with these disorders. We name it NeuroSynGait video dataset. Experiments demonstrated that our gait features were indeed successful in detecting these abnormalities. © 2020 IEEE.
URI: https://doi.org/10.1109/MMSP48831.2020.9287163
http://idr.nitk.ac.in/jspui/handle/123456789/14720
Appears in Collections:2. Conference Papers

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