Title: Immunological classifiers for accelerometer-based gait identification

Authors: Ismahene Dehache; Labiba Souici-Meslati

Addresses: Higher Normal School-ENSC, Constantine, Algeria; LISCO Laboratory, Badji Mokhtar-Annaba University, P.O. Box 12, 23000, Annaba, Algeria ' LISCO Laboratory, Badji Mokhtar-Annaba University, P.O. Box 12, 23000, Annaba, Algeria

Abstract: Research in the field of biometrics is currently oriented towards behavioural modalities. The present study is interested in gait biometrics which occupies an important place due to its various advantages compared with other biometrics. This work suggests an identification system based on gait, using an accelerometer that allows the measurement of acceleration. The proposed approach for recognition is the immunological approach. Three types of classifiers; namely AIRS1, AIRS2 and AIRS parallel are suggested. An improvement on the three classifiers is done specially on the calculation of the affinity by integrating three types of distances: Hamming, Manhattan and Chebychev. The results are very satisfactory emphasising the importance of gait modality and the interest of using immunological approaches in the domain of recognition of persons through behavioural biometrics.

Keywords: gait identification; artificial immune recognition system; AIRS; biometrics; accelerometers; metrics.

DOI: 10.1504/IJBM.2017.10007751

International Journal of Biometrics, 2017 Vol.9 No.3, pp.225 - 242

Received: 02 Aug 2016
Accepted: 27 May 2017

Published online: 15 Sep 2017 *

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