Comments (2)
In your plot, the angular velocities measured by the gyroscope are in the opposite direction to the changes in inclination indicated by the accelerometer. It is not clear if you have negated gyroscope measurements, or if the gyroscope axes are misaligned to the accelerometer.
The following two plots below were generated using your data. The first plot uses negated gyroscope measurements. The second plot adjusts the gyroscope alignment. Note that the algorithm determines a lower acceleration error in the second plot. This suggests that the issue is misalignment and not negation.
The gyroscope alignment was adjusted in the second plot using the following line of code, inserted immediately before line 53 in gait_tracking.py. Similar results are achieved using NXNYPZ
, PZNYPX
, and NZNYNX
. You will have to review your design to determine what the actual misalignment is.
gyroscope[index] = imufusion.axes_swap(gyroscope[index], imufusion.ALIGNMENT_PXNYNZ)
`.
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Thank you for the fast response! I can see clearly now that I need to study the basics of this subject.
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Related Issues (20)
- Question: About the details of the Fusion algorithm HOT 2
- Rust bindings HOT 7
- Guidance on tuning Fusion for "responsiveness" HOT 2
- Inferring gyroscope range HOT 3
- Roll and pitch relative to device, yaw relative to earth HOT 2
- Linear/earth acceleration very slow to catch up with movement HOT 3
- TEST data HOT 1
- Python "No code object available for imufusion" with Setup.py or pip install HOT 4
- Measurement convention for sensors other than x-imu HOT 3
- How to use the magnetometer data with different sampling frequency from the inertial sensors? HOT 1
- Gyroscope Offset Algorithm HOT 7
- Link to dissertation is broken HOT 1
- Q: Influence of motion and external acceleration HOT 3
- Very noisy Roll Pitch Yaw data HOT 5
- Recommended sampling rate? HOT 2
- yaw value changes while rotating on only roll or pitch axis. HOT 3
- 5 seconds delay in real-time operation (python) HOT 2
- Need some help setting up the algorithm. HOT 14
- Application Questions HOT 25
- Integration of GPS data to estimate position and velocity HOT 1
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