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Vol. 3  No. 3 (2017) · Articles

GAIT RECOGNITION THROUGH MICROSOFT KINECT : A REVIEW

Bansari Thakkar
Dept. of Computer Engineering, Smt. S. R. Patel Engineering College Dabhi-Unjha, Mehsana, India , IN

Saurabh Shrivastava
Dept. of Computer Engineering, Smt. S. R. Patel Engineering College Dabhi-Unjha, Mehsana, India , IN

Ramesh Kumar Thakur
Dept. of Computer Engineering, Smt. S. R. Patel Engineering College Dabhi-Unjha, Mehsana, India , IN

📅 Published: March 2017

Keywords: Gait, Biometrics and Microsoft Kinect Sensor v1.0.Introduction

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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.

How to Cite

Bansari Thakkar, Saurabh Shrivastava, Ramesh Kumar Thakur, “GAIT RECOGNITION THROUGH MICROSOFT KINECT : A REVIEW,” International Journal of Technical Innovation in Modern Engineering & Science, vol. 3, no. 3, pp. 17-24, March 2017.

References

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