Force
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Thanks for the information! If it's only possible to log 1 sensor fusion output at a time, how is the MetaBase app able to log multiple sensor fusion outputs concurrently? Thanks!
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@nekos You can get linear acceleration with IMUplus. A link with more information: https://mbientlab.com/cppdocs/latest/sensor_fusion.html#mode @Matt It is possible to apply some correction knowing that the velocity must be zero. However, the …
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@Matt Thank you for the suggestion. I'll definetly check it out. For clarification, MetaBase uses the IMUplus operating mode when gathering "linear acceleration" values?
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Any update on this topic?
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How do I access and modify the extra 31 bytes sent as a scan response?
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Sorry if I'm missing something, but what do you mean about the scan response?
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What kind of filters, other than a high pass filter, would be suitable for dealing with drift when integrating?
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Just for clarification, both the high pass filter and averager are applied to the raw acceleration values? Also, what's a best practice for dealing with drift when integrating?
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I'm getting the horizontal acceleration directly from the y-axis of the accelerometer outputs. What's a best practice for filtering/smoothing out the data?
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Acceleration. Velocity. Expected velocity, or something similar.
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Works like a charm. Thanks.