Motion Sensor Uses Machine Learning For Activity Tracking

STMicroelectronics is integrating machine-learning technology into its inertial sensors to improve activity-tracking performance and battery life in mobiles and wearables. The LSM6DSOX iNEMO sensor contains a machine-learning core to classify motion data based on known patterns. Relieving this first stage of activity tracking from the main processor saves energy and accelerates motion-based apps such as fitness logging, wellness monitoring, personal navigation, and fall detection.

 

The LSM6DSOX sensor also has more internal memory than conventional sensors, and a state-of-the-art high-speed I3C digital interface. It is said to be easy to integrate with popular mobile platforms such as Android and iOS, simplifying use in smart devices for consumer, medical, and industrial markets.

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The LSM6DSOX is in full production and available now, priced from $2.50 each/1,000. For more information, checkout the LSM6DSOX datasheet.

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