LSM6DSOETR3 is a 6-axis inertial measurement unit (IMU) in STMicroelectronics’ iNEMO family.

 LSM6DSOETR3

LSM6DSOETR3 is a 6-axis IMU (Inertial Measurement Unit) from STMicroelectronics’ iNEMO family. It integrates a 3-axis accelerometer and a 3-axis gyroscope in a single chip, housed in an ultra-small LGA14 package (2.5×3×0.83 mm) with tape-and-reel packaging. Featuring Always-on low-power mode, MLC machine learning core and auxiliary OIS SPI interface, it is a high-performance motion MEMS sensor for both consumer and industrial applications.

 Key Specifications

- Sensing Elements: 3-axis accelerometer + 3-axis gyroscope (6-axis)

- Selectable Accelerometer Full Scale: ±2g / ±4g / ±8g / ±16g

- Selectable Gyroscope Full Scale: ±125 / ±250 / ±500 / ±1000 / ±2000 dps

- Power Supply: VDD 1.71 V ~ 3.6 V; independent I/O supply down to 1.62 V

- Power Consumption: Typical 0.55 mA when accelerometer and gyroscope operate simultaneously in high-performance mode; supports Always-on low-power mode

- Memory: 9 KB smart FIFO for bulk data buffering

- On-chip Resources: Temperature sensor, 16 programmable finite state machine (FSM) nodes, MLC machine learning core

- Interfaces: I2C, SPI, MIPI I3C; dedicated auxiliary SPI for OIS optical image stabilization

- Interrupt Functions: Free-fall, 6D orientation, single/double tap, wake-up, activity/inactivity detection

- Package: LGA14, 2.5×3×0.83 mm

- Temperature Range: -40 ℃ ~ +85 ℃ (for consumer and industrial use)

 Functions

1. Attitude calculation: Captures acceleration and angular velocity to output attitude angles and tilt angles for heading and balance control

2. Motion recognition: Pedometer, wrist wake-up, tap, shake, pick-up, activity/inactivity detection. Hardware generates interrupts directly to reduce MCU load

3. Edge AI recognition: The MLC machine learning core performs local pattern classification (gait, vibration, motion classification) inside the sensor, eliminating continuous data polling by the MCU

4. Optical Image Stabilization (OIS): Auxiliary SPI outputs gyroscope data independently for lens stabilization

5. Sensor hub: Supports external I2C sensors and aggregates sensor data

6. Low-power wake-up: Continuously monitors motion in sleep mode and wakes up the host MCU upon motion detection to save power

7. Vibration monitoring, shock and free-fall detection

 Applications

- Drones & RC models: Flight controller attitude sensing, self-stabilization, gimbal control

- Camera & camera modules: OIS optical image stabilization

- Wearables: Smart watches, fitness bands, step counting, wrist wake-up, gesture recognition

- VR/AR & motion controllers: Motion tracking

- Industrial equipment: Vibration monitoring, equipment tilt sensing, asset attitude monitoring

- Robots & AGVs: Chassis attitude, balance and motion detection

- Handheld IoT, TWS, laptops & tablets: Screen auto-rotation, free-fall protection

- Smart home, remote game controllers