A device, system, and method for measuring physiological phenomena and physical activivies in a subject

This invention describes a wearable device that uses an accelerometer and a gyroscope to understand a person's physical activity. It analyzes the sensor data by identifying the top three most prominent repeating movement patterns, even when signals are mixed. This allows the device to determine the main activity, such as walking, running, or specific chest movements, and also provides a measure of how reliable that activity detection is.

Why it matters: Filed as edge AI was emerging. This deterministic, low-power algorithmic approach could offer advantages over complex machine learning models for real-time activity detection on resource-constrained wearable devices.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedEmbedded software, signal processing algorithms, sensors.

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