AI-Driven Cognitive Assessment in MCI Using Sleep and Daytime Activity Monitoring

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This project assesses cognitive status in individuals with Mild Cognitive Impairment (MCI) by analyzing sleep patterns and daytime activities through nonintrusive, continuous monitoring. Utilizing in-ear EEG, overnight wristbands, and wearable sensors in therapeutic facilities, the system integrates edge computing, AI, cameras, and sensors to track social interactions and movements in real-time. By providing a cost-effective, passive monitoring solution, this research aims to enhance understanding of MCI and support data-driven, targeted interventions.

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