Ataxia severity classification using enhanced feature selection and ranking optimization through machine learning model
Pavithra Durganivas Seetharama,
Shrishail Math
Abstract:<span>The examination of neurological disorders and the monitoring of ataxic gait are major scientific topics that benefit from digital signal processing techniques and machine learning (ML) technologies. In this research, an ML approach is optimized with the use of Spatio-temporal data obtained from a kinect-sensor to differentiate between normal gait and ataxic. The current ML-based approaches perform very poorly because they cannot build feature-correlation among many gait characteristics. Furthermore… Show more
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