Automatic in-home senior care system augmented with internet of things technologies

This invention describes an in-home system that uses various sensors to monitor seniors. It specifically focuses on using a computer system with machine learning to analyze sensor data, identify patterns related to symptoms of depression, and potentially alert caregivers. The system is designed to map raw sensor outputs to specific events that indicate features of depression.

Why it matters: Filed before the widespread availability of advanced machine learning frameworks and cloud-based AI services. Training robust classifiers to detect subtle behavioral patterns from diverse sensor data, as claimed, is now more accessible and efficient.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine learning system, sensor integration, software logic

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