STMicroelectronics has launched three new accelerometers with integrated advanced processing engines to extend sensor autonomy, allowing systems to respond more quickly to external events while reducing power consumption.
The LIS2DUX12 and LIS2DUXS12 leverage ST's third-generation MEMS technology, adding programmable features including a machine learning core (MLC), advanced finite state machine (FSM), and an enhanced pedometer. A third basic accelerometer, LIS2DU12, is also available for less demanding applications.
All three products are equipped with the latest industry standard I3C interface. The three devices integrate common digital features for event detection, as well as an anti-aliasing filter for high accuracy at lower sampling frequencies, with performance benefits for accurate gesture detection with negligible power consumption.
The MLC integrated into the LIS2DUX12 and LIS2DUXS12 enables artificial intelligence (AI) algorithms to perform reliable activity detection and the FSM enhances motion recognition.
Together, they provide autonomous processing at the sensor, which offloads host interaction and processing, significantly reducing power consumption and enabling faster system responses. Additionally, by deploying an adaptive self-configuration (ASC) feature, accelerometers adjust their own settings (such as measurement range and frequency) independently to further optimize performance, making every milliamp count.
The LIS2DUXS12 also features ST's exclusive Qvar detection channel that detects changes in the electrostatic environment to provide presence and proximity detection. This feature allows developers to add value to applications such as user interface control, liquid detection, and biometric detection such as heart rate monitors. In user interface applications, Qvar combined with an acceleration signal removes the potential for false positive detection in double-tap and multi-tap events.
Smart accelerometers provide context sensing for high-end wearables, True Wireless Stereo (TWS) speakers and headphones, smartphones, hearing aids, game controllers, smart watches, asset trackers, robotic devices, and IoT devices.
All three products leverage ST's latest ultra-low power architecture, which combines inherently extremely low power consumption with anti-aliasing filter that helps increase application performance by removing unwanted noise from the signal. Ready-to-use MLC and FSM algorithms are available through ST's MEMS GitHub model zoo, which facilitates complex gestures, asset tracking, and many other use cases.
With these improvements, the LIS2DUX12 and LIS2DUXS12 enable the next generation of “onlife” applications that support daily activities in an intuitive and continuous way, always connected, always attentive and continuously synchronized with the user's needs. They expand ST's family of AI-enhanced MEMS sensors, which includes inertial measurement units (IMUs) introduced in 2019.
