A summative scoring system for evaluation of human kinematic performance
The paper proposed a novel approach to satisfy characteristics for the mechanism used in evaluation of human kinematic performance. Experiments based on computer simulations illustrated that the approach was invariant to velocity, sampling rate while it was sensitive to scaling and dissimilarity. Experiments based on well established database were carried out to evaluate the performance of the proposed approach. The results demonstrated better characterization of the movement assessment and motion recognition ability, with a recognition rate of 86.19%, than the currently used methods such as Gaussian mixture models and pose normalization employed in motion recognition tasks.
scoring human performance pattern classification motion matching elbow points