My goal is to make the data from three sensors — accelerometer, gyroscope, and magnetometer — function like a 9-axis sensor, need to combine and process the XYZ raw data from each of these sensors to get a 9-axis output. Typically, a 9-axis sensor refers to a device that combines 3-axis accelerometer, 3-axis gyroscope, and 3-axis magnetometer data, which can then be used to determine the orientation and motion of the device in 3D space.
After
Gather Sensor Data:
- Accelerometer gives you the acceleration along the X, Y, and Z axes (a_x, a_y, a_z).
- Gyroscope gives you angular velocity along the X, Y, and Z axes (g_x, g_y, g_z).
- Magnetometer gives the magnetic field strength along the X, Y, and Z axes (m_x, m_y, m_z).
Each of these sensors provides three raw values (X, Y, Z) that you need to combine to estimate the orientation (attitude) and motion of the device.
is there any Step-by-Step Guide to follow what to do next? such as Data Fusion (Sensor Fusion Madgwick Filter) , Basic Fusion Approach or maybe Sensor Fusion Library
my final approach is to make it work like 9-axis sensor such as : Linear acceleration and angular velocity, **Roll, pitch, and yaw angle etc…