1 research outputs found
Detection of Gait Abnormalities caused by Neurological Disorders
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 \textit{NeuroSynGait} video dataset.
Experiments demonstrated that our gait features were indeed successful in
detecting these abnormalities.Comment: 6 pages, 5 figures, Accepted by IEEE Workshop on Multimedia Signal
Processing (MMSP), 202