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  #11  
Old 10-11-2018, 05:27 PM
MMMPPPMMM MMMPPPMMM is offline
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Originally Posted by MMMPPPMMM View Post
Still hoping for an answer. Thanks
^^^^^^^^^^
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  #12  
Old 10-12-2018, 04:16 PM
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pgalibarov pgalibarov is offline
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Hi Fritz,

The logic behind mass values was to normalize the values to represent an average guy with looking back at the TLEM1.2 being a some sort of reference.

We tried looking at the TLEM1.2 (7kg) vs TLEM2.1 scale of the thigh mass, and it looked to be 0.86 (which is not too far from your 0.9). This could be thought as idealizing masses to 2 cylinders of the same radius and density, but different length. How accurate is your 0.9 factor?

But it might also be that a more complex scaling was done, something like a Length Mass Scaling, which accounts for the thickness as well. Unfortunately, the thesis by V. Carbone is not very descriptive with respect to choosing these values.

We will look into this again to understand how accurate this value and whether it should be changed, but at the moment we will leave it like that.

Does it cause you some problems? Or you were just wondering about the source?

We also noticed a typo in the code, where a pelvis mass was used from the trunk dataset instead of the leg dataset. Not sure whether you would see the difference though or not. It's already fixed and will be applied to the next patch of AMMR.

Kind regards,
Pavel
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  #13  
Old 10-24-2018, 04:51 PM
MMMPPPMMM MMMPPPMMM is offline
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Originally Posted by pgalibarov View Post
Or you were just wondering about the source?

Yes, I was wondering about the source.


It would be really benefical, if the source (and conversion formula) of these kind of values would be added as comment in the corresponding ANY-Files.


If the AMMR would be public on github, even users could push such simple improvements.


Kind regards
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  #14  
Old 10-24-2018, 05:11 PM
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pgalibarov pgalibarov is offline
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Hi Fritz,

As Morten already mentioned to you, the development repo of AMMR is already accessible on request, and you are allowed to contribute your corrections. We would very much appreciate useful contributions.

We do our best to document the repository. But we also sometimes lack information to be put into the documentation in the first place. For example, the TLEM2.0 dataset, even though an incredible amount work was put into it, is not perfectly documented due to the scientific nature of the project and time limitations associated with the project duration. Sometimes it does indeed slip through our fingers full of other work.

We appreciate your feedback and will try to incorporate all these comments into the coming version of the AMMR.

Kind regards,
Pavel
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