IEEE Access Special Section Editorial: Behavioral Biometrics for Ehealth and Well-Being

Abstract

The development of non-intrusive technologies to perform continuous health monitoring and enable automatic warnings is a challenging current issue. Behavioral biometrics such as speech, handwriting, and gait can play a crucial role. In fact, these signals convey several components: •The one related to the physical part which enables the user to make the action (e.g., finger, hand, arm, etc.);•The cognitive one refers to mental abilities (learning, thinking, reasoning, remembering, problem-solving, decision-making, and attention);•The learned one which includes culture, habits, personalization, etc.;•The contingent contour one, the acquisition device, the emotional state, the specific task/action to be performed, and the environment, plays a crucial role.