The VR IMU Breakout centers on the BNO086 inertial measurement unit (IMU), a combined triaxial accelerometer, gyroscope, and magnetometer package (SiP) with a 32bit ARM CortexM0+ core. It delivers accurate rotation vector headings suitable for virtual reality and other heading applications, with a static rotation error of 2 degrees or less. All sensor data is merged and drift corrected to provide meaningful, accurate IMU information for projects that need to sense direction or movement. Key advantages and capabilities heading and orientation data: The BNO086 provides drift corrected IMU data and reliable rotation vectors, making it well suited for VR tracking, navigation, and orientation sensing. Powerful, compact sensor package: The BNO086 is a compact SiP that integrates accelerometer, gyroscope, and magnetometer with a 32bit ARM CortexM0+ core, delivering precise motion and direction information in a small form factor. Compatibility with BNO080 options: For BNO080 EOL, there is a plugin alternative to BNO086 offering enhanced features such as 14bit accelerometer fusion, reduced idle state power, and interactive calibration. The VR IMU Breakout is built around the BNO086 core as described above, with these related notes relevant for compatibility and upgrade considerations. Easy interfacing with minimal assembly: The IMU splitboard includes two I2C Qwiic connectors to simplify wiring to the miniature QFN package. It is part of the Qwiic connection system, so orientation and connections can be made without soldering. If you prefer breadboard wiring, 0.1 inch spaced pins are also provided. Robust integration for projects: The breakout is designed to deliver merged sensor data that minimizes drift, providing accurate IMU information suitable for projects that require reliable sensing of direction or movement over time. What makes it stand out Clean, I2C based interfacing through Qwiic: Two I2C Qwiic connectors enable straightforward, solder connections to microcontrollers and single board computers, reducing setup time and potential wiring errors. Bidirectional compatibility with platforms: The breakout is designed to work with standard I2C capable hosts and pairs well with microcontrollers that handle sensor data fusion, motion tracking, and heading calculations. Drift reduction and data fusion: Data from the accelerometer, gyroscope, and magnetometer are fused to produce stable orientation estimates, reducing error in rotation vectors and heading information over time. Attributes and performance to consider Core device: BNO086 inertial measurement unit, SiP with accelerometer, gyroscope, and magnetometer; 32bit ARM CortexM0+ core inside the package. Heading accuracy: Static rotation error of 2 degrees or less, with data that is merged and drift corrected for meaningful IMU information. Interconnects: Two I2C Qwiic connectors for easy, solder interface to the QFN package; alternative 0.1 inch spaced pins available for breadboards. Related options: BNO080 is noted as an Androidfocused solution and is referenced in the context of EOL and upgrade paths to BNO086 with enhanced features (14bit accelerometer fusion, reduced idle power, interactive calibration). Use scenarios Virtual reality head tracking: Use the VR IMU Breakout to determine precise orientation and heading for VR headsets, motion controllers, or headmounted display applications. Robotics and autonomous systems: Provide reliable orientation and directional sensing for navigation, stabilization, or pose estimation in small robots or drones. Interactive motion sensing projects: Integrate driftcorrected IMU data into interactive installations or wearable devices that require accurate direction and movement sensing without frequent recalibration. Notes on compatibility and integration Interface: I2C based, with Qwiic connectors for easy plugandplay connections; no welding required to connect to the QFN package. Breadboard option: For those who prefer traditional prototyping, 0.1 inch spaced pins are available for breadboard compatibility. Application focus: The breakout is designed to deliver accurate heading and orientation data suitable for VR, AR, robotics, and motion sensing applications, with a straightforward hardware interface that supports rapid prototyping and reliable deployment.