Mental Therapies TRIZ Cases
- AI Stress Prediction From Wearables for Autism Intervention
Physiological sensors and AI detect rising stress before sensory overload, enabling timely sensory intervention to prevent autistic outbursts.
- Adaptive Cognitive Training Program for Mild Cognitive Impairment
Adaptive training algorithms are rearranged by patient performance to improve mild cognitive impairment across memory, fluency, and agility.
- Computer-Guided Behavior Assessment for Faster PBS Lesson Planning
Automated questionnaires and competing behavior pathways improve FBA accuracy while cutting assessment time and easing specialist workload.
- Impairment-Simulation Eyewear With Sensor Mat Driving Feedback
Optical-filter eyewear and a tagged sensor mat simulate impaired driving and give real-time feedback to reveal driving errors safely.
- Peripheral Nerve Stimulation Headset for Discreet Anxiety Therapy
A compact mastoid-electrode headset shifts control to a mobile app, enabling discreet nerve stimulation without messy gel handling.
- Strength-Based Coping App for Accessible Autism Stress Support
A mobile app matches character strengths to coping strategies, making stress support more accessible for people on the autism spectrum.
- Trait Tracking Framework for Reliable Habit Change Feedback
Continuous trait tracking pairs scoping with daily feedback to make habit change more reliable than willpower alone.
- Brain Code Pattern Analysis for Objective PTSD Detection
Combining brain activity, sensor, and cognitive data creates a quantitative PTSD signature for more objective and timely detection of comorbidities.
- Video and Audio Behavioral Assessment for Faster Diagnosis
Machine learning analyzes child video and audio recordings to detect behavioral patterns with higher diagnostic accuracy and less evaluation time.
- AI Treatment Fidelity Analysis for Personalized Care Planning
Machine learning turns treatment fidelity, patient, and environmental data into personalized care plans and better clinician feedback.
- Behavior Intervention Modeling With Biometric Prediction Feedback
Biometric brain-pattern modeling and feedback loops improve real-time behavior prediction and intervention planning for unforeseen events.