STMicroelectronics has integrated machine learning technology into its advanced 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.
Devices equipped with ST’s LSM6DSOX can deliver a convenient and responsive ‘always-on’ user experience without trading battery runtime. The sensor also has more internal memory than conventional sensors, and a state-of-the-art high-speed I3C digital interface, allowing longer periods between interactions with the main controller and shorter connection times for extra energy savings.
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