The LSM6DSV32X 6-axis inertial module has an accelerometer full-scale range of 32g and 4000 degrees-per-second gyroscope to measure intensive movements and impacts, such as freefall height estimation. Ready to drive future generations of edge AI applications, the new sensor device enables extra features and longer battery runtime in consumer wearables, asset trackers, and impact and fall alarms for workers.
The LSM6DSV32X is the latest addition to ST's intelligent sensor series featuring a machine-learning core (MLC) with AI-powered decision trees. This sensor combines MLC for recognizing contexts and a finite state machine (FSM) for motion detection, enabling developers to enhance product capabilities while reducing response times and conserving energy. The LSM6DSV32X is particularly efficient, requiring less than 6µA for gym activity detection and only 30µA for 3D orientation tracking, thanks to ST's sensor fusion low-power (SFLP) algorithm. It also features adaptive self-configuration (ASC), allowing it to adjust its settings on-the-fly for optimal performance and power management.
The sensor's capabilities extend beyond its accelerometer and gyroscope, as it incorporates ST’s Qvar technology for detecting electrostatic charge variations, facilitating sophisticated interface interactions like touch and swipe gestures. It also has an analog hub to process signals from external sources.
Developers are supported by an array of libraries and tools that expedite product development. The MEMS Studio environment simplifies evaluation and application creation, while a dedicated GitHub repository offers practical code examples. Resources also include hardware adapters for connecting the IMU to ST’s evaluation and proof-of-concept boards such as the ProfiMEMS board, Nucleo sensor expansion board, and Sensortile.box PRO.
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First published on Apr 18, 2024
