Physiological monitoring apparatus and networks

This invention describes a system where a person wears multiple sensors to track their own body and the surrounding environment. A computer program then analyzes this data to identify when a specific habit is occurring. When the system detects the habit, it provides an audible alert, such as a warning, directly to the person.

Why it matters: Since 2018, advancements in miniaturized, low-power sensors and edge computing have made integrating such systems into wearables more practical. Crucially, machine learning algorithms for pattern recognition have significantly improved, enhancing the accuracy of habit detection.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedWearable sensors, custom electronics, habit detection software.

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