Event data monitoring systems and methods

This invention describes a personal system that uses a sensor attached to a person to collect various types of raw data over time. This data is timestamped, stored as a history, and then analyzed by software to identify when a specific "event" has occurred. The system can also determine how serious that event is and can be set to only store data when certain conditions are met.

Why it matters: Filed before the widespread adoption of advanced wearable sensors and mature cloud-based machine learning platforms. Detecting subtle events and their severity from raw historical data, which was complex in 2012, is now much more feasible with modern AI and IoT infrastructure.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedComplex software logic, sensing device, data storage

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