Abstract: A system for delivering learning programmes comprising optical sensors for capturing a subject's facial expression, eye movements, point-of-gaze, and head pose during a learning session; a data repository comprising task data 5 entities; a module for estimating the subject's affective and cognitive states using the captured sensory data; and a module for selecting a task data entity for presentment to the subject after each completion of a task data entity based on a probability of the subject's understanding of the associated knowledge; wherein the probability of the subject's understanding is computed using the subject's 10 estimated affective cognitive states. The system can also be applied in neurocognitive disorder diagnosis tests. The subject's affective and cognitive states estimation based on the captured sensory data during a diagnosis test is feedback to the system to drive the course of the test, adaptively change the test materials, and influence the subject's emotions. Docket No. P1179AUOO 39 Web platform Public PrivalteShoolB - eamnogsystem Private/schiooA Domain Knowledge Liesoup' 4 Domain Knowle ... Tak (Practice) Tuloring Model -~~~w ~i I ms Clsso HS seet on M manageCaff Dh Student model Per nce& T HeIa ra cona 0se AlngPymnm nnlmn eS uptn g ae nte En1yto ronet Wn A drIer cripingtugn Docket No. Pg1nc79AUOO 40
INTERACTIVE AND ADAPTIVE LEARNING AND NEUROCOGNITIVE DISORDER DIAGNOSIS SYSTEMS USING FACE TRACKING AND EMOTION DETECTION WITH ASSOCIATED METHODS