A GCN plus LSTM plus attention model trained on OpenPose skeleton data from 50 videos claims 85% accuracy at distinguishing pediatric dystonia from chorea.
Available from: https://journals.lww.com/10.4103/0028-3886.226447 (Accessed 28 August 2024)
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Deep Learning-Based Classification of Hyperkinetic Movement Disorders in Children
A GCN plus LSTM plus attention model trained on OpenPose skeleton data from 50 videos claims 85% accuracy at distinguishing pediatric dystonia from chorea.