Smartphone-based gait assessment to infer Parkinson's disease severity using crowdsourced data

People afflicted with Parkinson's Disease (PD) experience impairment of their gait (the way a person walks), which frequently results in falls. In this paper we investigate a machine learning method to assess PD severity using accelerometer data passively crowdsourced from participants' smartphones while they walked. Time and frequency domain features such as entropy rate and peak frequency, and postural sway features were extracted from...