Smart ring system for monitoring sleep patterns and using machine learning techniques to predict high risk driving behavior

This invention describes a system that uses a wearable device, like a smart ring, to track a person's sleep patterns. It then uses artificial intelligence to analyze this sleep data and predict if the person is at high risk for another activity, such as driving. If a high risk is predicted, the system sends an alert to the user.

Why it matters: Advancements in vehicle integration standards and real-time driver monitoring systems since 2024 make incorporating external biometric data for driver risk prediction more feasible. This enhances the system's utility for ADAS and autonomous driving handover protocols.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedCustom wearable sensors, machine learning software

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