Accelerometers measure linear acceleration and are also used for other purposes such as inclination and vibration measurement.
MEMS accelerometers embed several useful features for motion and acceleration detection, including free-fall, wakeup, single/double-tap recognition, activity/inactivity detection, and 6D/4D orientation.
Applications
- Motion detection
- Smart power saving
- Gesture recognition and gaming
- Display orientation
- Vibration monitoring and compensation
- Impact recognition and logging
- Tilt/inclination measurements
- Robotics
- Inclination / orientation detection
- Impact recognition and logging
- Vibration monitoring and compensation
Accelerometer product types
ST state-of-the-art 3-axis MEMS accelerometers include general-purpose sensors, application-specific sensors, and sensors with an embedded machine learning core.
For automotive applications, the ST portfolio offers extended temperature range and AEC-Q100 qualified accelerometers such as the AIS32x family.
Devices for industrial applications include IISxxx family products, which are part of the ST longevity program that guarantees production for at least ten years from their launch date.
- General-purpose sensors
- Application-specific sensors
- Sensors with embedded machine learning core
Discover the accelerometer portfolio
Benefits
- Advanced power-saving features for ultralow-power applications
- Dedicated OIS SPIAUX interface
- Machine learning core
- Programmable finite state machine for custom-gesture recognition
- Advanced pedometer, step detector, and step counter
- Low-power mode, auto wake-up function, and FIFO buffer
- 2x2x1-mm packages available with 14- and 12-lead pinouts
Featured Videos
From smart tags and hearing ads to asset tracking and consumer electronics, how can we enable worldwide sensorization while keeping our world sustainable? The answer is in ST new #gen3 accelerometers with embedded intelligent features to consume less energy.
Discover how to implement a high accuracy static inclinometer application leveraging in machine learning capability embedded in the sensor.
A bridge between the sensor on the motherboard and your laptop