GAIT RECOGNITION THROUGH MICROSOFT KINECT : A REVIEW

Abstract

Human gait is an important biometric of an individual. It can be used to identify person based on the analysis of its gait. The front and back view features of gait are extracted using Microsoft kinect, which includes soft biometrics, Skeleton kinematics or FGEI feature extraction. The sensor can also calculate angle, distance or Centroid between body joints. Silhouette images are used to extract the features using normalization and centralization technique. Gait recognition can also be performed using Goniometer and Wearable sensors. This paper focuses on the study of various techniques used to obtain, compute and compare various features and their accuracies obtained for analyzing gait of a person.