Behavioural biometrics for authentication and stress detection – A case study with children

Abstract

This article presents a stress detection model based on real time collection and analysis of physiological signals monitored by non-invasive and non-intrusive sensors. The assumption of a state of stress is made taking into account the validation of a certain number of biometric reactions to some specific situations. The biometric data collected is also used to create a method capable of guaranteeing user’s authentication. To validate this model, an experiment was set, demonstrating that it is possible to infer stressful situations by monitoring some specific physiological signals.