jianboliang
d19355a27e
basic reserse dir
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| README.md | %!s(int64=4) %!d(string=hai) anos | |
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README.md
ImuFusion
EKF IMU Fusion Algorithms
- orien.m uses Kalman filter for fusing the gyroscope's and accelerometer's readings to get the IMU's attitude(quaternion).
- zupt.m implenments the so called 'zero-velocity-update' algorithm for pedestrian tracking(gait tracking), it's also a ekf filter.
- Video: http://v.youku.com/v_show/id_XMTg2NjI4NTI4NA==.html
Usage
Example data already included.
Simply run the orien.m or zupt.m. For zupt, set 'CreateVideo' as true if you'd like to save the results as a video.
Note that the datasets and the code for visualizing the results were from:
https://github.com/xioTechnologies/Gait-Tracking-With-x-IMU
References:
[1] S. Madgwick. An efficient orientation filter for inertial and inertial/magnetic sensor arrays.
[2] Fischer C, et. Implementing a Pedestrian Tracker Using inertial Sensors.
[3] Isaac Skog, et. Zero-Velocity Detection — An Algorithm Evaluation.