Human gait recognition based on frontal view using kinect features and orthogonal least square selection

This paper discussed the recognition of human gait for both frontal and oblique view based on orthogonal least square (OLS) as feature selection and Multi-Layer perceptron (MLP) as classifier. Firstly, kinect sensor was used to acquire several frames of human gait in both oblique and frontal view. Next, feature extraction is conducted via skeleton joint point in the 3D space known as direct-gait (D-G) feature. Further, feature selection is...