Immunological classifiers for accelerometer-based gait identification

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.