Human gait identification using Kinect sensor

Kurdistan Journal of Applied Research

Mohammed H. Ahmed¹  Azhin Tahir Sabir²  Halgurd S. Maghdid³  Abdulbasit K. Faeq³ 

[1] Department of Computer Science,University of RaparinRanyah ,Sulaimanyah Kurdistan Region of Iraq;Department of Software Engineering, FENG,Koya University,Koya, Iraq;Department of Software Engineering, FENG,Koya University,Koya, Iraq;

关键词: Gait recognition, Kinect, Angle Features (AF), Distance Feature (DF), motion analysis.;   

DOI  :  10.24017/science.2017.3.37

来源: DOAJ

【 摘 要 】

This study investigates a novel three-dimension gait recognition approach based on skeleton representation of motion by the cheap consumer level camera Kinect sensor. In this work, a new exemplification of human gait signature is proposed using the spatio-temporal variations in relative angles among various skeletal joints and changing of measured distance between limbs and land. These measurements are computed during one gait cycle. Further, we have created our own dataset based on Kinect sensor and extract two sets of dynamic features. Nearest Neighbors and Linear Discriminant Classifier (LDC) are used for classification. The results of the experiments show the proposed approach as an effective and human gait recognizer in comparison with current Kinect-based gait recognition methods.

【 授权许可】

Unknown