Gait Based Human Recognition with Various Classifiers Using Exhaustive Angle Calculations in Model Free Approach

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ISSN Print: 2153-1285
ISSN Online: 2153-1293
www.scirp.org/journal/cs
E-mail: cs@scirp.org

"Gait Based Human Recognition with Various Classifiers Using Exhaustive Angle Calculations in Model Free Approach"
written by S. M. H. Sithi Shameem Fathima, R. S. D. Wahida Banu, S. Mohamed Mansoor Roomi,
published by Circuits and Systems, Vol.7 No.8, 2016

has been cited by the following article(s):

[1]	DeepNet-Gait: Human Identification by Gait Using Convolutional Neural Network Model
	2023 10th International Conference on …, 2023

[2]	Automatic Gait Recognition using Hybrid Neural Networks
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[3]	Advances in Vision-Based Gait Recognition: From Handcrafted to Deep Learning
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[4]	Automatic optimized CNN based COVID-19 lung infection segmentation from CT image
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[5]	Human Gait Identification System Based on Transfer Learning
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[6]	Human Gait identification System
	International Journal of Advanced Research in Computer Engineering & Technology, 2017

[7]	EXPLOITING VISUAL CUES FOR LEARNING GAIT PATTERNS ASSOCIATED WITH NEUROLOGICAL DISORDERS
	2017

[1]	Transfer learning for human gait recognition using VGG19: CASIA-A dataset Multimedia Tools and Applications, 2024 DOI:10.1007/s11042-024-20132-y

[2]	DeepNet-Gait: Human Identification by Gait Using Convolutional Neural Network Model 2023 10th International Conference on Signal Processing and Integrated Networks (SPIN), 2023 DOI:10.1109/SPIN57001.2023.10117067

[3]	Advances in Vision-Based Gait Recognition: From Handcrafted to Deep Learning Sensors, 2022 DOI:10.3390/s22155682

[4]	Advances in Vision-Based Gait Recognition: From Handcrafted to Deep Learning Sensors, 2022 DOI:10.3390/s22155682

[5]	Automatic optimized CNN based COVID-19 lung infection segmentation from CT image Materials Today: Proceedings, 2021 DOI:10.1016/j.matpr.2021.01.820

[6]	Human Gait Identification System Based on Transfer Learning 2020 21st International Arab Conference on Information Technology (ACIT), 2020 DOI:10.1109/ACIT50332.2020.9300067

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