I have been supplied by a peer with IMU raw data in Excel format (attached) recorded using an ActiGraph GT9X Link device. The data was collected with the IMU worn on the right wrist.
The attached file consists of a timestamp column increasing in 0.01s increments (100Hz sampling rate), acceleration (g) in the x, y and z directions, and gyroscope data (deg/s) for the x, y and z axes.
My goal is to take this data and develop a fairly reliable 3D trace.
The data supplied is for 3 distinct demonstrations of the given movement, which can be seen clearly enough if you plot any of the acceleration or gyroscope columns against time. I am actually interested in looking at each of the three movements in isolation for comparative purposes.
I am aware of the approach of integrating the gyroscope data to get the anglular position and also twice integrating the accelerometer data to get linear position for each axis. However, I am also aware that this is unreliable, with the substantial increase in errors evident when you integrate.
I have done a significant amount of reading on the subject over the past few days and cannot seem to figure out just what I need to do to get from my current position with a quantity of raw data to a position where I can have a reliable 3D trace of each movement. Is it even possible fromthe data I have alone? One of the things I can't work out is how to use the gyroscope data to determine orientation without actually knowing the starting position, as the IMU data is actually a snapshot of an extended period of wearing the device.
Ordinarily I would take more time to work this out myself, but unfortunately I now have some rather significant time constraints, so any help people can offer, be that a process to follow, some MATLAB code to work with, references etc. then I would be extremely grateful!!