The current Any family files like AnyAnne and AnyArne are example files. So
if you are looking for other sizes, like 5% man these file can server as a
good starting. It should be possible only by changing the numbers in this
file to create various sizes.
The are no difference between models of a male or female inside the body
models, this is controlled through the Any family files. The Any family file
should reflect difference in the anthropometry, on top this one of the
differences here is in the estimation of the BMI. There are two different
equations used for this, this can be seen in the top of the AnyArne and
Your second question address in my view exactly what we are trying to do
using the technique described by Michael Skipper Andersen, please previous
This technique lets you optimize, joint angles, marker locations, segment
lengths and at the same time fulfil the joint constraints in the human.
We do not have much experience with using the model for persons with diverse
anthropometry, but this is something that should be possible to control
through the Any family files. If the models need to have a special strength
this can be controlled through settings in the main file. If limbs are
missing, changes will be needed in the BRep, but since there is full access
to the models, individual changes should be feasible to do.
I hope this answered your questions otherwise, please ask again.
SÃ¸ren, AnyBody Support
From: email@example.com [mailto:firstname.lastname@example.org] On Behalf
Of Jack Winters
Sent: 08 July 2008 18:47
Subject: [AnyScript] Autoscaling and Initialization?
In version 7, under scaling, are the various files where scaling is
mostly based on mass and height, including a folder with AnyMan and
AnyAnne (5% female) and AnyArne (95% male). Also, our population
of interest, for torso-arm sitting tasks within the personal arm
workspace, involves persons with disabilities and diverse
abilitties. We are also using MoCap and marker-driven approach.
Is there also an AnyWoman? Or a 5% man or 95% woman?
Given your approach of matching strategic markers to body markers
for body models (a potentially big math/optimization advantage in
estimation over conventional distal-to-proximal biomech approaches),
what about using an algorithm for BOTH joint driver
initialization/generation AND for estimating some classic link
parameters (e.g., UpperArmLength, LowerArmLength, TrunkHeight),
perhaps for a “controlled but input-rich” trial (quasi-calibration)
movement? The advantage, amoung other things (e.g., a strong
shoulder model, less sensitive to skin movement), would be best
(optimal) estimates for both joints and for segments, and minimizing
the worrisome possibility of initialization error propagation.
Better segmental estimates then help make the model’s use for a
collection of movements tasks by the given subject be more likely to
robustly track. (Of course, we can also put in link values we
measure, but this may be less robust/accurate?)
Any other suggestions or experiences in using the model with
persons with diverse anthrpometry and abilities?
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