Interactive and adaptive learning using pupil response, face tracking, and emotion detection, neurocognitive disorder diagnosis, and non-following detection system

摘要

A system for detecting non-followability, such as substance abuse, alcohol drinking, and dishonest testimony in a law enforcement environment, that can more accurately determine a subject's estimated emotion and cognitive state. The system includes an optical sensor that collects pupil responses, blinks, eye movements, gaze points, facial expressions, and head poses from a subject during a follow-up test session. The system is also applicable to the diagnosis of neurocognitive disorders. Estimating a subject's emotional and cognitive state based on sensory data collected during a diagnostic test drives the process of followability or cognitive testing, adaptively changes test material, and affects the subject's emotional and cognitive state Feedback to the system to provide [Selection diagram] Fig. 1