OpenSense Calibration
Posted: Tue Mar 24, 2020 2:18 pm
Hi,
I started playing with OpenSense example and tried to used it on my own dataset, which I collected IMU data from over 20 subjects. I took the following steps but the calibration is not working well for my sensors.
1) performed static trails used for calibrating the model.
2) run dynamic trials and using the calibrated model in the previous step.
Below is the figure after calibration, as you can see the tibia-r imu is not placed correctly. This resulted in an abnormal walking which displayed below. I also noticed abnormal changes in the tibia-r IMU rotations after IMUDataConversion.
To tackle calibration, I tried to rotate the tibia-r IMU and placed it at right location according to the picture of the subject. Then find the rotation transformation between the initial location and modified and used for transfer all tibia-r IMU data to the new location. But, I still got an abnormal trend on my orientation data. What would be the best approach to 1st) improve my calibration model (location of individual sensors) and 2nd) fix the transferred data run by IMUDataConversion.m files.
below is the link for figures.
https://drive.google.com/file/d/17rloEB ... sp=sharing
Data is already collected and I have work with this data.
Thanks,
Mohsen Sharifi
Ph.D. Graduate Student
Center for Orthopaedic Biomechanics, University of Denver
I started playing with OpenSense example and tried to used it on my own dataset, which I collected IMU data from over 20 subjects. I took the following steps but the calibration is not working well for my sensors.
1) performed static trails used for calibrating the model.
2) run dynamic trials and using the calibrated model in the previous step.
Below is the figure after calibration, as you can see the tibia-r imu is not placed correctly. This resulted in an abnormal walking which displayed below. I also noticed abnormal changes in the tibia-r IMU rotations after IMUDataConversion.
To tackle calibration, I tried to rotate the tibia-r IMU and placed it at right location according to the picture of the subject. Then find the rotation transformation between the initial location and modified and used for transfer all tibia-r IMU data to the new location. But, I still got an abnormal trend on my orientation data. What would be the best approach to 1st) improve my calibration model (location of individual sensors) and 2nd) fix the transferred data run by IMUDataConversion.m files.
below is the link for figures.
https://drive.google.com/file/d/17rloEB ... sp=sharing
Data is already collected and I have work with this data.
Thanks,
Mohsen Sharifi
Ph.D. Graduate Student
Center for Orthopaedic Biomechanics, University of Denver