Open XaviLC opened 5 years ago
Yes, hardware qs from the EM7180 and software qs from the madgwick filter.
On Thu, Nov 15, 2018 at 8:20 AM XaviLC notifications@github.com wrote:
Hello @kriswiner https://github.com/kriswiner ,
I am newbie on the rotation topic using quaternions, I have been reading abot then and the different ways of representing rotation changes, so sorry in advance if my questions might be quite simple.
I have been looking your code https://github.com/kriswiner/EM7180_SENtral_sensor_hub/blob/master/EM7180_BMI160_AK8963C.ino for the BMI160, device that I am using, and there is a point where obtaining the quaternions that I get a bit lost.
I see that you have defined to set of quaternions, hardware quaternions Quat[4] and software quaternions q[4]. Could you explain me how you are obtaining the hardware quaternions? I am especially interested in q0 ( Quat[0]), is this value given only by EM7180 sensor or it can be retreived as well from BMI160?
And finally the software quaternions q[4] are coming from the application of the MadgwickQuaternionUpdate() method?
Thanks in advance!
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Thanks for replying,
Then that means that BMI160 doesn't provide the value q0 from hardware and if I use this sensor I would have to make use of just the software base right? One more question regarding to q0, I have seen other repo of yours for the MPU9250, this sensor also provides the q0 as far as I understood from your code, but I could not find any explicit register in the register map of the MPU9250 that holds q0. Could you kindly point me out where or what I should look to find that register?
Thank you very much,
REgards!
Tne BNO055 is what you want if you want to get 9 DoF quaternions from one device. But it is not as accurate as some other solutions.
The MPU9250 can provide 6 DoF quaternions but doesn't use the magnetometer data in the orientation solution. Using it's DMP is not easy.
This https://www.tindie.com/products/onehorse/ultimate-sensor-fusion-solution-mpu9250/ the most accurate quaternion engine you can buy at this size and price range.
On Fri, Nov 16, 2018 at 12:16 AM XaviLC notifications@github.com wrote:
Thanks for replying,
Then that means that BMI160 doesn't provide the value q0 from hardware and if I use this sensor I would have to make use of just the software base right? One more question regarding to q0, I have seen other repo of yours for the MPU9250, this sensor also provides the q0 as far as I understood from your code, but I could not find any explicit register in the register map of the MPU9250 that holds q0. Could you kindly point me out where or what I should look to find that register?
Thank you very much,
REgards!
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/kriswiner/EM7180_SENtral_sensor_hub/issues/44#issuecomment-439315509, or mute the thread https://github.com/notifications/unsubscribe-auth/AGY1ql1-ClBKbstLIgY4f_Ts5LlV3Py9ks5uvnRUgaJpZM4YgPPQ .
Hello @kriswiner ,
I am newbie on the rotation topic using quaternions, I have been reading abot then and the different ways of representing rotation changes, so sorry in advance if my questions might be quite simple.
I have been looking your code for the BMI160, device that I am using, and there is a point where obtaining the quaternions that I get a bit lost.
I see that you have defined to set of quaternions, hardware quaternions
Quat[4]
and software quaternionsq[4]
. Could you explain me how you are obtaining the hardware quaternions? I am especially interested in q0 (Quat[0]
), is this value given only by EM7180 sensor or it can be retreived as well from BMI160?And finally the software quaternions
q[4]
are coming from the application of theMadgwickQuaternionUpdate()
method?Thanks in advance!