University of California San Diego

The University of California San Diego team, led by Xinyu Zhang, is developing EgoADL, a non-intrusive system that uses smartphones and smartwatches to monitor activities of daily living (ADLs). The platform repurposes on-body sensors to transcribe fine-grained motor and object-interaction activities into readable text logs. Using self-supervised multi-sensor fusion and multi-modal learning techniques, EgoADL achieves near-vision precision without visual data, preserving user privacy. This approach enables clinicians and AI models to analyze behavioral changes linked to Alzheimer’s disease and supports safe, continuous health monitoring at home. The project aligns with PennAITech’s mission and will be piloted within UCSD’s and UPenn’s healthy aging facilities.