Using Smart Homes and AI to support telehealth and detect food insecurity in rural homes

The project evaluates a sensor-based home platform that generates personalized data for telehealth and care coordination without using cameras.

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Led by Laura McIntosh, this project tests EmPowerYu’s Smart Home system that collects, organizes, analyzes, and reports daily activity data via an inference engine, state machine, time-series analytics, and machine learning. The study examines usability for rural older adults, potential to streamline telehealth by auto-generating datasets, value for clinicians and family caregivers, and algorithm development to reduce false alarms for weight gain and to detect food insecurity.

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