Human gait recognition using orthogonal least square as feature selection
This study investigates the potential gait features that are related to human recognition using orthogonal least square (OLS). Firstly, video of 30 subjects walking in oblique view was recorded using Kinect. Next, all 20 skeleton joints in 3D space were extracted and further selected using OLS. Addi...
Published in: | Indonesian Journal of Electrical Engineering and Computer Science |
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Main Author: | |
Format: | Article |
Language: | English |
Published: |
Institute of Advanced Engineering and Science
2019
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074948400&doi=10.11591%2fijeecs.v17.i3.pp1355-1361&partnerID=40&md5=60704e9fdbcf392c1f849276542cbcd8 |