Optimization of locally linear embedded for frontal gait recognition using kinect
This study investigates the potential of gait features as human gait recognition. Firstly, skeleton joints of twenty subjects obtained from Kinect are extracted as features and further selected using the optimized locally linear embedded approach. Next, multi-layer perceptron and support vector mach...
Published in: | ISCAIE 2017 - 2017 IEEE Symposium on Computer Applications and Industrial Electronics |
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Main Author: | Sahak R.; Tahir N.M.; Yassin A.I.M.; Kamaruzaman F.H. |
Format: | Conference paper |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2017
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039982307&doi=10.1109%2fISCAIE.2017.8074969&partnerID=40&md5=6f38a599accd3ba154d64355cd03574d |
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