A User Authentication Enabled Piezoelectric Force Touch System for the
Internet of Things
Abstract
In Internet of Things (IoT) applications, among various authentication
techniques, keystroke authentication methods based on a user’s touch
behavior have received increasing attention, due to their unique
benefits. In this paper, we present a technique for obtaining high user
authentication accuracy by utilizing a user’s touch time and force
information, which are obtained from an assembled piezoelectric touch
panel. After combining artificial neural networks with the user’s touch
features, an equal error rate (EER) of 1.09% is achieved, and hence
advancing the development of security techniques in the field of IoT.