Experimental Investigation of Human Gait Recognition Database using Wearable Sensors-Reference-Cited by-同舟云学术

Experimental Investigation of Human Gait Recognition Database using Wearable Sensors

Published:2018-07 Issue:4 Volume:3 Page:201-210
ISSN:2415-6698
Container-title:Advances in Science, Technology and Engineering Systems Journal
language:
Short-container-title:Adv. sci. technol. eng. syst. j.

Author:

Said Sherif,Al-Kork Samer,Nair Vishnu,Gowthami Itta,Beyrouthy Taha,Savatier Xavier,Abdrabbo M Fayek

Publisher

ASTES Journal

Subject

Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)

Link

https://www.astesj.com/publications/ASTESJ_030418.pdf

Reference22 articles.

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2. Qian Cheng, Yanen Li_, Joshua Juen, "Classifier of Gait Pattern for Detecting Abnormal Health Status", SenSys'12Toronto, ACM 978-1-4503-1169-4, Canada 2012.

3. D. Hodgins, "The Importance of Measuring Human Gait," European Medical Device Technology, 2008.. F Sayegh, F Fadhli, F Karam, M BoAbbas, F Mahmeed, JA Korbane, S AlKork, T Beyrouthy "A wearable rehabilitation device for paralysis," 2017 2nd International Conference on Bio-engineering for Smart Technologies (BioSMART), Paris, 2017, pp.1-4.

4. Mark Ruane Dawson, "Gait Recognition",(technical report) Department of Computing Imperial College of Science, Technology & Medicine London 2002.

5. Q. Meng b, B. Li a, H. Holstein, "Recognition of human periodic movements from unstructured information using a motion-based frequency domain approach," Volume 24, Issue 8, Pages 795-809, Department of Computer Science, University of Wales, August 2006.

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