This invention describes a wrist-worn device that detects hand gestures by shining light onto the skin and sensing how the light changes as the underlying tissue and anatomical features move during a gesture. The device uses multiple light sensors to capture these changes. The claims specifically focus on a method for *training* the device: it prompts a user to perform a gesture, collects sensor data during that gesture, and then uses that data to teach the device to recognize that specific gesture by identifying characteristic patterns in the sensor readings.
Why it matters: On-device machine learning for pattern recognition has become significantly more efficient and accessible since 2021, making the training and detection aspects more feasible.
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