Scoring and assessment in medical VR training simulators with dynamic time series classification

Neil Vaughan, Bogdan Gabrys

Abstract: Highlights•Skill assessment methods for adaptive Virtual Reality simulator training.•Developed methods for assessing the skill using time series trajectories.•Clustering and classification used to assess skill from multivariate time series.•Dynamic Time Warping used to compare and prototype time series clusters.•Comparison between data collected from novices and expert clinicians.