Acceleration Sensors
R2026bConfigure sensor blocks that primarily read and measure acceleration.
Blocks
 | ADIS16505 IMU Sensor | Measure acceleration, angular rate, and temperature along axes of ADIS16505 sensor (Since R2024a) |
 | ADXL34x Accelerometer | Measure linear acceleration along axes of ADXL34x family of accelerometers (Since R2022a) |
 | BNO055 IMU Sensor | Measure acceleration, angular rate, and magnetic field, and calculate fusion values such as Euler angles, quaternion, linear acceleration, and gravity vector along the axes of BNO055 sensor |
 | ICM20948 IMU Sensor | Measure linear acceleration, angular velocity, magnetic field, and temperature from ICM20948 IMU sensor (Since R2022a) |
 | LIS3DH Accelerometer Sensor | Measure linear acceleration, voltage, and temperature from LIS3DH sensor (Since R2022b) |
 | LSM303C IMU Sensor | Measure linear acceleration, magnetic field strength, and temperature from LSM303C sensor |
 | LSM6DS3 IMU Sensor | Measure linear acceleration, angular rate, and temperature from LSM6DS3 sensor |
 | LSM6DS3H IMU Sensor | Measure linear acceleration, angular rate, and temperature from LSM6DS3H sensor |
 | LSM6DSM IMU Sensor | Measure linear acceleration, angular rate, and temperature from LSM6DSM sensor |
 | LSM6DSR IMU Sensor | Measure linear acceleration, angular rate, and temperature from LSM6DSR sensor |
 | LSM6DSO IMU Sensor | Measure linear acceleration, angular rate, and temperature from LSM6DSO sensor |
 | LSM6DSL IMU Sensor | Measure linear acceleration, angular rate, and temperature from LSM6DSL sensor |
 | LSM9DS1 IMU Sensor | Measure linear acceleration, angular rate, and magnetic field along X, Y, and Z axis |
 | MPU6050 IMU Sensor | Measure acceleration, angular rate, and temperature along axes of MPU-6050 sensor |
 | MPU9250 IMU Sensor | Measure acceleration, angular rate, magnetic field, and temperature along axes of MPU-9250 sensor |
Featured Examples
Calculate Pitch and Roll on Arduino Using IMU Sensor
Read the acceleration and angular velocity data from IMU sensor mounted on Arduino® hardware and calculate the pitch and roll angles.
Calibrate ECU Parameters in CANape Using XCP-Based Serial Interface on Arduino Hardware
Monitor signals and tune parameters of a Simulink® model on Arduino® Mega 2560 board using CANape® software. CANape is primarily used in optimizing parameterization (calibration) of electronic control units (ECU). By using CANape, you can calibrate parameter values and acquire measurement signals during system run time.
Identify Punch and Flex Hand Gestures Using Machine Learning Algorithm on Arduino Hardware
Use the Simulink® Support Package for Arduino® Hardware to identify punch and flex hand gestures using a machine learning algorithm. The example is deployed on an Arduino Nano 33 IoT hardware board that uses an onboard LSM6DS3 6DOF IMU sensor to identify the hand gestures. The output from the machine learning algorithm, after identifying whether a hand gesture is a punch or a flex, is transmitted to the serial port where 0 represents a punch and 1 represents a flex.
Identify Shapes Using Machine Learning on Arduino Hardware
Use the Simulink® Support Package for Arduino® Hardware to identify shapes such as a triangle and circle using a machine learning algorithm. The model in this example is deployed on an Arduino Nano 33 IoT hardware board with an onboard LSM6DS3 IMU Sensor.
Develop Gyroscope-Based Pedometer Using Arduino
How MATLAB® Function blocks are used in Simulink® models to implement algorithms using MATLAB functions. An Arduino® MKR1000 board is used to count the number of steps a person takes while walking. The pedometer is attached to the thigh of the person in such a way that the x-axis of the gyroscope is perpendicular to the direction of walking. The data from a gyroscope sensor is sent to an Android device using the User Datagram Protocol (UDP).
Read Data from ICM20948 Sensor Using Data Ready Interrupt
Use the interrupt generated by ICM20948 IMU Sensor block to trigger a downstream function-call subsystem that reads acceleration and angular velocity data from the ICM-20948 sensor connected to an Arduino® board.
Triple-Axis Tilt Calculation Using LIS3DH FIFO Data Ready Interrupt
Use the FIFO data ready interrupt of LIS3DH linear accelerometer connected to an Arduino® board to sense the tilt of the sensor. This is done using a downstream function-call subsystem that reads acceleration values from FIFO buffer sensor.
Single Click and Double Click Detection Using LIS3DH Single Click Interrupt
Use the Single Click interrupt of LIS3DH linear accelerometer connected to an Arduino® board to sense the single click and double click of the sensor.
Free-Fall Detection Using LIS3DH Freefall Application Interrupt
Use the Inertial freefall application interrupt of LIS3DH linear accelerometer connected to an Arduino® board to sense the free-fall of the sensor.
Impact Detection Using LIS3DH Inertial Wakeup Interrupt
Use the Inertial wake-up interrupt of LIS3DH linear accelerometer connected to an Arduino® board to sense the impact of the sensor.
Raspberry Pi's Pan Tilt HAT Control Using Arduino MKR WiFi 1010 and LIS3DH Interface
Configure use the example Simulink® model interfacing a Raspberry Pi® hardware with a Pan Tilt HAT control. The model receives information from an Arduino WiFi MKR 1010 connected to a LIS3DH accelerometer sensor. The Pan tilt HAT orientation is controlled based on the received data from the Arduino®.
Estimate Orientation Using AHRS Filter and IMU Data in Simulink
Stream IMU data from sensors connected to Arduino® board and estimate orientation using AHRS filter and IMU sensor.
