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3 | 3 | Sensor Fusion |
4 | 4 | ============= |
5 | 5 |
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6 | | -The MetaMotion family of boards comes with a builtin Sensor Fusion algorithm. It's configured via properties on the `MBLSensorFusion <https://www.mbientlab.com/docs/metawear/ios/latest/Classes/MBLSensorFusion.html>`_ class. |
| 6 | +The MetaMotion family of boards comes with a builtin Sensor Fusion algorithm. It's configured via properties on the `MBLSensorFusion <https://www.mbientlab.com/docs/metawear/ios/latest/Classes/MBLSensorFusion.html>`_ class. When using the sensor fusion algorithm, it is important that you do not simultaenously use the Accelerometer, Gyro, and Magnetometer modules; the algorithm configures those sensors internally based on how you configure the sensor fusion algorithm. |
7 | 7 |
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8 | 8 | As explained `here <http://www.chrobotics.com/library/attitude-estimation>`_. When estimating attitude and heading, the best results are obtained by combining data from multiple types of sensors to take advantage of their relative strengths. For example, rate gyros can be integrated to produce angle estimates that are reliable in the short-term, but that tend to drift in the long-term. Accelerometers, on the other hand, are sensitive to vibration and other non-gravity accelerations in the short-term, but can be trusted in the long-term to provide angle estimates that do no degrade as time progresses. Combining rate gyros and accelerometers can produce the best of both worlds - angle estimates that are resistant to vibration and immune to long-term angular drift. |
9 | 9 |
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| 10 | +Mode |
| 11 | +---- |
| 12 | +The sensor fusion algorithm has 4 |
| 13 | +`fusion modes <https://mbientlab.com/docs/metawear/ios/latest/Constants/MBLSensorFusionMode.html>`_, listed in the below table: |
| 14 | + |
| 15 | +======== ========================================================================== |
| 16 | +Mode Description |
| 17 | +======== ========================================================================== |
| 18 | +NDoF Calculates absolute roeintation from accelerometer, gyro, and magnetometer |
| 19 | +IMUPlus Calculates relative orientation in space from accelerometer and gyro data |
| 20 | +Compass Determines geographic direction from th Earth's magnetic field |
| 21 | +M4G Similar to IMUPlus except rotation is detected with the magnetometer |
| 22 | +======== ========================================================================== |
| 23 | + |
10 | 24 | Attitude and Heading |
11 | 25 | -------------------- |
12 | 26 |
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@@ -46,7 +60,16 @@ This looks at the acceleration due to motion and removes the acceleration due to |
46 | 60 | Corrected Sensor Readings |
47 | 61 | ------------------------- |
48 | 62 |
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49 | | -Sensor fusion algorithms are able to use the strengths of various sensors to improve the weaknesses of others. This allows us to extract more accurate readings of sensor values. |
| 63 | +Sensor fusion algorithms are able to use the strengths of various sensors to improve the weaknesses of others. This allows us to extract more accurate readings of sensor values. Keep in mind that each sensor fusion mode has different sets of available data and produces it at different rates. |
| 64 | + |
| 65 | +======== ===== ===== ==== |
| 66 | +Mode Acc Gyro Mag |
| 67 | +======== ===== ===== ==== |
| 68 | +NDoF 100Hz 100Hz 25Hz |
| 69 | +IMUPlus 100Hz 100Hz N/A |
| 70 | +Compass 25Hz N/A 25Hz |
| 71 | +M4G 50Hz N/A 50Hz |
| 72 | +======== ===== ===== ==== |
50 | 73 |
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51 | 74 | :: |
52 | 75 |
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