Interactive and adaptive learning and neurocognitive disorder diagnosis systems using face tracking and emotion detection with associated methods

A method for delivering and managing learning and training programmes comprising:

• capturing and generating sensory data on a student subject using one or more optical sensors during a learning session;
• providing one or more electronic databases including one or more domain knowledge data entities, each domain knowledge data entity comprising one or more concept data entities and one or more task data entities, wherein each concept data entity comprises one or more knowledge and skill content items, wherein each task data entity comprises one or more lecture content material items, wherein each task data entity is associated with at least one concept data entity, and wherein a curriculum is formed by grouping a plurality of the concept data entities;
• estimating the student subject's affective state and cognitive state using the sensory data collected from the optical sensors;
• and
• selecting a subsequent task data entity and retrieving from the electronic databases the task data entity's lecture content material items for delivery and presentment to the student subject after each completion of a task data entity in the learning session;
• creating a list of task data entities available for selection of the subsequent task data entity, wherein the task data entities available for selection are the task data entities associated with the one or more concept data entities forming the curriculum selected;
• wherein the selection of a task data entity from the list of task data entities available for selection is based on a probability of the student subject's understanding of the associated concept data entity's knowledge and skill content items;
• and
• wherein the probability of the student subject's understanding is computed using input data of the estimation of the student subject's affective state and cognitive state.

A system for delivering and managing neurocognitive disorder diagnosis comprising:

• one or more optical sensors configured for capturing and generating sensory data on a patient subject during a neurocognitive disorder diagnosis test session;
• one or more electronic databases including one or more neurocognitive disorder diagnosis test data entities;
• a patient module executed by one or more computer processing devices configured to estimate the patient subject's affective state and cognitive state using the sensory data collected from the optical sensors;
• a trainer module executed by one or more computer processing devices configured to select a subsequent neurocognitive disorder diagnosis test data entity and retrieve from the electronic databases the neurocognitive disorder diagnosis test data entity's content material items for delivery and presentment to the patient subject after each completion of a neurocognitive disorder diagnosis test data entity in the neurocognitive disorder diagnosis test session;
• and
• a recommendation engine executed by one or more computer processing devices configured to create a list of neurocognitive disorder diagnosis test data entities available for selection of the subsequent neurocognitive disorder diagnosis test data entity;
• wherein the selection of a neurocognitive disorder diagnosis test data entity from the list of neurocognitive disorder diagnosis test data entities available for selection using input data of the estimation of the patient subject's affective state and cognitive state and the patient subject's performance data and behavioral data.

A method for delivering and managing neurocognitive disorder diagnosis comprising:

• capturing and generating sensory data on a patient subject using one or more optical sensors during a neurocognitive disorder diagnosis test session;
• providing one or more electronic databases including one or more neurocognitive disorder diagnosis test data entities;
• estimating the patient subject's affective state and cognitive state using the sensory data collected from the optical sensors;
• selecting a subsequent neurocognitive disorder diagnosis test data entity and retrieve from the electronic databases the neurocognitive disorder diagnosis test data entity's content material items for delivery and presentment to the patient subject after each completion of a neurocognitive disorder diagnosis test data entity in the neurocognitive disorder diagnosis test session;
• and
• creating a list of neurocognitive disorder diagnosis test data entities available for selection of the subsequent neurocognitive disorder diagnosis test data entity;
• wherein the selection of a neurocognitive disorder diagnosis test data entity from the list of neurocognitive disorder diagnosis test data entities available for selection using input data of the estimation of the patient subject's affective state and cognitive state and the patient subject's performance data and behavioral data.