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    <p>Using only the gyroscope signal (which you have to integrate numerically), you'll eventually run into trouble, due to drift. What's normally done is combining an accelerometer (for low frequency signals, i.e. drift) with a gyroscope (for high frequency signals). Here's a link few links showing more or less exactly what you want:</p> <ul> <li><a href="http://www.starlino.com/imu_guide.html" rel="nofollow noreferrer">http://www.starlino.com/imu_guide.html</a></li> <li><a href="http://www.instructables.com/id/Accelerometer-Gyro-Tutorial" rel="nofollow noreferrer">http://www.instructables.com/id/Accelerometer-Gyro-Tutorial</a></li> <li><a href="http://www.starlino.com/quadcopter_acc_gyro.html" rel="nofollow noreferrer">http://www.starlino.com/quadcopter_acc_gyro.html</a></li> </ul> <p>Also, see these StackOverflow questions:</p> <ul> <li><a href="https://stackoverflow.com/questions/1586658/combine-gyroscope-and-accelerometer-data">Combine Gyroscope and Accelerometer Data</a></li> <li><a href="https://stackoverflow.com/questions/110804/integrating-gyro-and-accelerometer-readings">Integrating gyro and accelerometer readings</a></li> <li><a href="https://stackoverflow.com/questions/5314217/gyro-accelerometer-magnetometer-and-kalman-filter">gyro, accelerometer, magnetometer and Kalman filter</a></li> <li><a href="https://stackoverflow.com/questions/5068197/how-to-determine-relative-position-using-accelerometer-and-gyro-data">How to determine relative position using accelerometer and gyro data</a></li> </ul>
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