Preemptive machine learning-based gesture recognition

摘要

A system and method for detecting a viewing gesture with respect to a wrist-worn device employ a logistic-regression model to pre-learn gesture metrics for on events. An output model is produced for deployment on a consumer device, allowing real-time gesture detection with high accuracy and low latency.