Identification of individuals through a new Gait Recognition Method

Dib W, Ghanem K, Nedil M, Ababou A, Eskofier B (2021)

Publication Type: Conference contribution

Publication year: 2021

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 1813-1814

Conference Proceedings Title: 2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings

Event location: Singapore SG

ISBN: 9781728146706

DOI: 10.1109/APS/URSI47566.2021.9704596

Abstract

Each individual has a particular way of walking which characterizes him. This has led to the consideration of gait as a means of recognizing individuals. This paper presents a sensor-free approach which allows to recognize the subject's gait by relying on (ANN)Artificial Neural Networks (ANN) technique. Furthermore, the efficiency of the use of the received signal strength as a source of gait recognition is investigated.

Authors with CRIS profile

Björn Eskofier Machine Learning and Data Analytics Lab

Involved external institutions

Centre de Developpement des Technologies Avancées (CDTA) DZ Algeria (DZ) Université du Québec en Abitibi-Témiscamingue CA Canada (CA) University of Science and Technology Houari Boumediene DZ Algeria (DZ)

How to cite

APA:

Dib, W., Ghanem, K., Nedil, M., Ababou, A., & Eskofier, B. (2021). Identification of individuals through a new Gait Recognition Method. In 2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings (pp. 1813-1814). Singapore, SG: Institute of Electrical and Electronics Engineers Inc..

MLA:

Dib, Wassila, et al. "Identification of individuals through a new Gait Recognition Method." Proceedings of the 2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021, Singapore Institute of Electrical and Electronics Engineers Inc., 2021. 1813-1814.

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