STMicro LSM6DSV32X Edge AI motion sensor aims to extend battery life in wearables, trackers, and activity monitors

STMicro LSM6DSV32X is a new low-power 6-axis inertial module with the company’s machine-learning core (MLC) with AI algorithms based on decision trees, a 3-axis accelerometer with a full-scale range of 32g, and a 4000 degrees-per-second gyroscope designed to measure intensive movements, impacts, and freefall height (estimation).

The features of the sensors enable it to lower the power consumption for functions such as gym-activity recognition to under 6µA, while 3D orientation tracking consumes just 30µA when using STMicro’s Sensor Fusion Low-Power (SFLP) algorithm. It will be found in a range of battery-powered devices such as consumer wearables, asset trackers, and impact and fall alarms for workers or the elderly.

STMicro LSM6DSV32X AI motion sensor

STMicro LSM6DSV32X specifications:

  • Triple-channel architecture for UI (user interface), EIS, and OIS data processing
  • Data storage – Smart FIFO up to 4.5 KB
  • Sensors
    • Accelerometer – ±4/±8/±16/±32 g full scale
    • Gyroscope – ±125/±250/±500/±1000/±2000/±4000 dps full scale
    • Embedded temperature sensor
  • Host interfaces
    • SPI, I2C, and MIPI I3C v1.1 serial interface with main processor data synchronization
    • Auxiliary SPI for OIS data output for gyroscope and accelerometer
    • OIS configurable from aux SPI, primary interface (SPI / I2C & MIPI I3C v1.1)
    • EIS dedicated channel on primary interface with dedicated filtering
  • Features
    • Advanced pedometer, step detector, and step counter
    • Significant motion detection, tilt detection
    • Standard interrupts: free-fall, wake-up, 6D/4D orientation, click and double click
    • Programmable finite state machine for accelerometer, gyroscope, and external sensor data processing with high rate @ 960 Hz
    • Machine learning core with exportable features and filters for AI applications
    • Embedded adaptive self-configuration (ASC)
    • Embedded Qvar (electrostatic sensor) for user interface functions (tap, double tap, triple tap, long press, L/R – R/L swipe)
    • Embedded analog hub for ADC and processing analog input data
    • Embedded sensor fusion low-power algorithm
  • Power Management
    • Independent IO supply (extended range: 1.08 V to 3.6 V)
    • Analog supply voltage – 1.71 V to 3.6 V
    • Power consumption – 0.65 mA in combo high-performance mode
  • Dimensions – 3 x 2.5x 0.83 mm
  • Compliance – ECOPACK and RoHS-compliant
Machine learning core LSM6DSV32X Edge AI motion sensor
Machine learning core in LSM6DSV32X sensor

STMicro says the LSM6DSV32X motion sensor is Android-compliant, and product developers can rely on various ready-to-use libraries and tools such as MEMS Studio environment and a dedicated GitHub repository that provides code examples such as sports-activity and head-gesture recognition. Resources also include hardware adapters for connecting the IMU sensor to the ProfiMEMS board, Nucleo sensor expansion board, and PRO.

STMicro says the LSM6DSV32X is slated to enter volume production in May 2024 in a 3 x 2.5 0.83mm 14-lead LGA package with pricing starting at $2.98 for orders of 1000 pieces or more. Additional information may be found on the product page and in the press release.

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