Understanding Accelerometer Orientation
An accelerometer senses acceleration along three body axes. When a device is still, the strongest acceleration is gravity. The gravity vector lets the calculator estimate roll and pitch. Roll describes side tilt around the X axis. Pitch describes nose up or nose down tilt around the Y axis. These values are useful for drones, robots, phones, vehicles, and small lab fixtures.
Yaw Needs More Than Gravity
Yaw is rotation around the vertical axis. Gravity looks the same after a flat device spins on a table. Because of that, an accelerometer alone cannot solve true yaw. This tool reports that limit clearly. It can also calculate a tilt compensated heading when optional magnetometer readings are supplied. A gyro based yaw estimate can be shown when a previous yaw, rate, and time step are entered.
Useful Checks For Clean Results
The acceleration magnitude should be near one g for static tilt. If it is much higher or lower, the device may be moving, vibrating, or scaled incorrectly. The confidence score is based on how close the vector magnitude is to gravity. It does not prove perfect calibration, but it quickly shows whether the input is reasonable. The normalized vector is also shown, so users can inspect axis direction.
Practical Notes
Axis mapping matters. Some boards label axes differently. A sign change can flip roll or pitch. Mounting direction can also change the formula convention. Use a known flat position first. Then rotate the device slowly and compare the output with expected movement. If the result moves opposite to the real motion, swap a sign or choose the matching axis convention in your project code.
Export And Review
The page includes CSV and PDF buttons for quick reports. The example table gives common test cases. Use them to compare flat, side tilted, and nose tilted positions. For production work, combine accelerometer data with gyroscope and magnetometer data. A complementary filter or Kalman filter can smooth noise, reduce drift, and provide stable roll, pitch, and yaw over time.
The formulas use radians internally, then present degrees for readability. Rounded output can hide small sensor errors, so choose more decimal places during calibration and fewer decimals for simple field notes and logs.