Subventions et des contributions :

Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019).

With increasing integration of advanced technologies into our daily life, the need of reliable biometricx000D
authentication and identification systems is more pronounced than ever before in order to improve security andx000D
privacy and to reduce the risk of circumvention. Despite high accuracy, current biometric technologies relyingx000D
on particular physical features such as fingerprints, face and iris characteristics are vulnerable to spoofing andx000D
forgery. Therefore, there is a real need for development of more reliable biometric solutions for humanx000D
recognition that are able to continuously identify/authenticate people without requiring specific actions fromx000D
them (e.g. placing fingers on an scanner or looking into an iris camera). In this project, we propose a feasibilityx000D
study on human recognition based on remote video capture of eye movements and blinking. The proposedx000D
solution based on eye tracking data offers a more flexible design, where eye movement and blinking patternsx000D
are captured on video recordings taken from greater distance which is non-intrusive, simpler to analyze andx000D
more difficult to spoof. Furthermore, it offers an added advantage where the same features extracted forx000D
biometric recognition can be used for determining fatigue or other physiological conditions or behavioralx000D
changes.