Systems and methods using a wearable sensor for sports action recognition and assessment

This invention describes a system that uses a single wearable sensor placed on an athlete's limb to collect movement data, specifically 3-axis acceleration, during a sport involving limb strokes. This data is wirelessly sent to a processing platform which analyzes it in real-time to recognize specific actions and categorize the athlete's skill level into one of at least three distinct categories.

Why it matters: Since 2018, significant advancements in machine learning for time-series data and edge computing have made real-time sensor data analysis for action recognition and skill assessment much more powerful and efficient.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedEmbedded electronics, wireless communication, heavy software system

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