AI-enhanced smart accelerometers pack four performance modes

Leveraging STMicroelectronics' third-generation MEMS technology, the accelerometers accurately detect events and gestures with high accuracy and low power consumption.

The new smart accelerometers support a range of "always-aware" applications, including wearable devices, game controllers, portable healthcare devices, asset trackers, and wireless sensor nodes.

These AI-enhanced devices also include a machine learning core with adaptive self-configuration, offloading host processing and enabling faster system responses.

This AI-enhanced smart accelerometer is a smart, digital, 3-axis linear accelerometer. The LIS2DUX12 MEMS and ASIC combine low current consumption with always-on anti-aliasing filtering and a finite state machine.

The accelerometer includes four performance modes, including a high-performance mode with an anti-aliasing filter of 10.8 µA, a low-power mode with an anti-aliasing filter of 6.2 µA, an ultra-low power mode of 2.7 µA, and a power-down mode at just 0.01 µA. 

The LIS2DUXS12 AI-enhanced smart accelerometer includes STMicroelectronics' Qvar sensing channel and analogue hub, which senses changes in the ambient electrostatic environment to enable presence and proximity detection. The Qvar sensing channel allows developers to add value to applications, including liquid detection, biometric sensing, and user-interface control.