| Summary: | 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: <list list-type="bullet"><list-item><label>•</label><p>The one related to the physical part which enables the user to make the action (e.g., finger, hand, arm, etc.);</p></list-item><list-item><label>•</label><p>The cognitive one refers to mental abilities (learning, thinking, reasoning, remembering, problem-solving, decision-making, and attention);</p></list-item><list-item><label>•</label><p>The learned one which includes culture, habits, personalization, etc.;</p></list-item><list-item><label>•</label><p>The contingent contour one, the acquisition device, the emotional state, the specific task/action to be performed, and the environment, plays a crucial role.</p></list-item> </list>
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