Activity related biometric authentication using Spherical Harmonics

This paper proposes a novel activity-related authentication method for ambient intelligence environments, based on Spherical Harmonics Analysis (SHA). The approach is based on the representation of the user´s behavioural response with an Activity Surface (AS), while performing a regular office activity. Multi-referenced Spherical Harmonics Analysis has been utilized for extracting the corresponding Spherical Harmonics Coefficients (SHC)from each surface, which stand for the user´s biometric signature. The experimental scenario has been carried out on a database that consists of 29 persons performing a phone-conversation activity. The authentication potential of the proposed biometric features has been seen to be significantly high in the performed experiments, while it is enhanced with recording view-angle invariance.