A biosensor system captures physiological signals to compute patient emotion states during remote therapy sessions.
Machine learning models analyze wearable signals to replace subjective questionnaires, providing instant objective stress relief guidance.
A smart desk detects brain activity deceleration using embedded sensors and user data to trigger timely recovery reminders.
A control module selects multimedia content and training tasks to organize game content for cognitive training operations.
An adaptive therapy system improves cognitive processing and reduces depression symptoms by adjusting exercise difficulty based on real-time performance.
A system quantifies user engagement via brainwave and heart rate signals.