ST’s e-Compasses include combo solutions built around a 3-axis digital accelerometer with a 3-axis digital magnetic sensor in a single LGA package, as well as standalone 3-axis digital magnetic sensors for designing solutions where the magnetic sensor must be located in a specific position on a printed circuit board.
Designed to accurately detect the direction and magnitude of external magnetic fields, ST’s e-Compasses use accelerometer measurements for tilt compensation, thus ensuring very accurate compass headings even when handheld or mobile devices are inclined.
ST’s e-Compasses combine a high-performance low power 3D accelerometer and 3D magnetometer with high dynamic range and temperature offset compensation. They offer 3 mgauss resolution and a wide range of full scales selectable by the user: from ±2 to ±16 g for acceleration and from ±4 to ±50 gauss for magnetic fields.
ST’s e-Compasses include smart power functions to minimize current consumption and an embedded self-test feature that allows the user to check that the sensor functions correctly in the final application
The full range of products offers new possibilities for advanced navigation and location-based services in increasingly portable consumer/industrial devices such as tilt-compensated compasses, map rotation, intelligent power-saving for handheld devices, gaming and virtual reality input devices, position and free-fall detection, motion-activated functions, pedometers, display orientation, impact recognition and logging, vibration monitoring and compensation.
This video on the SensorTile.box Pro Mode shows you how to use this IoT and wearable sensor development kit to create customized wireless applications using an STM32Cube function pack. Use-case on a Human Activity Recognition algorithm included.
Watch this short tutorial on the Expert mode of the SensorTile.box to learn how to use a graphical wizard to build programs without having to write any code.
The first video in the SensorTile.box series of short tutorials will guide you through the pre-recorded examples in the device firmware to help you use IoT and wearable sensor applications.