Performance comparison of parkinsonian gait based on Principal Component Analysis

The aim of this paper is to explore the potential of Principal Component Analysis (PCA) as feature selection in identifying gait pattern between Parkinsonian and healthy adult. Original gait database which consist of four basic spatiotemporal gait features, five kinetic gait features and twelve kinematic gait features are acquired from prior walking experiments of both Parkinson Disease (PD) and normal subjects. These features undergo...