STMicroelectronics LSM6DSV32X 6-Axis Inertial Measurement Unit (IMU)
STMicroelectronics LSM6DSV32X 6-Axis Inertial Measurement Unit (IMU) is a high-performance, low-power 6-axis small IMU featuring a 3-axis digital accelerometer at 32g and a 3-axis digital gyroscope. These integrated components offer the best IMU sensor with a triple-channel architecture for processing acceleration and angular rate data on three separate channels (user interface, OIS, and EIS) with dedicated configuration, processing, and filtering. LSM6DSV32X enables processes in edge computing, leveraging embedded advanced dedicated features such as a finite state machine (FSM) for configurable motion tracking and a machine learning core (MLC) for context awareness with exportable AI features for IoT applications.
The STMicroelectronics LSM6DSV32X supports the adaptive self-configuration (ASC) feature, which allows the FSM to automatically reconfigure the device in real time based on the detection of a specific motion pattern or the output of a specific decision tree configured in the MLC without any intervention from the host processor. The device embeds Qvar (electric charge variation detection) for user interface functions like tap, double tap, triple tap, long press, or L/R – R/L swipe. The LSM6DSV32X also embeds an analog hub that can connect to an external analog input and convert it to a digital signal for processing.
Features
- Triple-channel architecture for UI, EIS, and OIS data processing
- "Always-on" experience with low power consumption for both accelerometer and gyroscope
- Smart FIFO up to 4.5KB
- Android compliant
- ±4g / ±8g / ±16g / ±32g full scale
- ±125dps / ±250dps / ±500dps / ±1000dps / ±2000dps / ±4000dps full scale
- 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 auxiliary SPI, primary interface (SPI / I2C and MIPI I3C v1.1)
- EIS dedicated channel on the primary interface with dedicated filtering
- Advanced pedometer, step detector, and step counter
- Significant motion and 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 a high rate at 960Hz
- Machine learning core with exportable features and filters for AI applications
- Embedded features
- Adaptive self-configuration (ASC)
- Qvar (electrostatic sensor) for user interface functions (tap, double tap, triple tap, long press, and L/R – R/L swipe)
- Analog hub for ADC and processing analog input data
- Sensor fusion low-power algorithm
- Temperature sensor
- 1.71V to 3.6V analog supply voltage
- Independent IO supply (1.08V to 3.6V extended range)
- 0.65mA power consumption in combo high-performance mode
- 2.5mm x 3mm x 0.83mm compact footprint
- ECOPACK and RoHS-compliant
Applications
- Motion tracking and gesture detection, augmented reality (AR) / virtual reality (VR) / mixed reality (MR) applications, and metaverse applications
- Wearables
- Indoor navigation
- IoT and connected devices
- Smartphones and handheld devices
- EIS and OIS for camera applications
- Vibration monitoring and compensation
Dimensions
Resources
- Application Note AN6016 - LSM6DSV32X: 6-axis IMU with 32g Accelerometer and Embedded Sensor Fusion, AI, Qvar for High-End Applications
- Application Note AN6070 - LSM6DSV32X: Finite State Machine
- Application Note AN6071 - LSM6DSV32X: Machine Learning Core
- Technical Note TN0018 - Surface Mounting Guidelines for MEMS Sensors in an LGA Package
- Design Tip DT0064 - Noise Analysis and Identification in MEMS Sensors, Allan, Time, Hadamard, Overlapping, Modified, Total Variance
- Design Tip DT0105 - 1-Point or 3-Point Tumble Sensor Calibration
- Design Tip DT0106 - Residual Linear Acceleration by Gravity Subtraction to Enable Dead-Reckoning
- Brochure - MEMS and Sensors Smart Motion Tracking, IoT for an Enhanced User Experience
- Brochure - Sensor Libraries Software Pack for STM32Cube
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Publicado: 2024-04-05
| Actualizado: 2024-09-26