MEMS and Sensors

Machine learning technology integrated into inertial sensors

13 February 2019

The LSM6DSOX sensor. Source: STMicroelectronicsThe LSM6DSOX sensor. Source: STMicroelectronicsSTMicroelectronics has integrated machine-learning technology into its inertial sensors in an effort to improve activity-tracking performance and battery life in mobiles and wearables.

The LSM6DSOX iNEMO sensor contains a machine learning core that saves energy and accelerates motion-based apps such as fitness logging, wellness monitoring, personal navigation and fall detection.

The sensors allow devices to be always-on without trading battery runtime and has more internal memory than conventional sensors with an I3C digital interface to allow for longer periods of interactions with the main controller and shorter connection times for extra energy savings, ST said.

The sensor can be used in smart devices for both Android and iOS mobile platforms for consumer, medical and industrial markets.

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