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Motion sensor with machine learning
28 August 2019, Analogue, Mixed Signal, LSI
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.
For more information contact Robin Scholes, Altron Arrow, +27 11 923 9600, rscholes@arrow.altech.co.za, www.altronarrow.com |
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