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APPENDIX
5.2. How to train a neural network
At this point accelerometry data should be acquired from activities, which are later to
be classified. These data files can be saved with the Import feature as described in
4.2. How to import data on page xiv.
Please note: A MATLAB® license is needed to use the training feature.
Without a MATLAB® license it is only possible to work with pre-trained
neural networks. Therefore the feature is disabled.
To accelerate the progress the subject can complete a default training course as it is
described in Attachments on page xx. This course contains several activities in a specific order.
To train a new neural network, follow the instructions below:
1.
2.
3.
4.
Import the training data using the Import feature of MoveIT
Change the folder name of the calendar week into Training
Press the button Training on the home screen of MoveIT
Browse to subject folder and choose the Training folder
 Chosen folder must contain folders named Hip and Tibia
5. The opening window is for identifying activities in tibia data
6. If the 7.1. Default training course on page xx was completed,
 the pink-green-colored template should approximately fit to the accelerometry data
 static activities are coded green, and dynamic activities are surrounded
by pink lines
 the vertical lines can be dragged in the right position, so the activity is
framed
 the activity identification with the template can be saved with Save template
7. If a custom training course was completed,
 the activity template can be disabled
 activities can be framed with the feature Select activity data
 the square framing must include the red dots, which are indicating the
dynamic nature of the accelerometry data
 blue lines of acceleration do not need to be framed
 press Yes, if selection is done
 selections cannot be adjusted afterwards
 wrong selections have to be reframed by pressing Redo Selection
 Undo of selection is not possible and requires a start over from step 3
 new activities can be added with ADD NEW ACTIVITY and must be
named and assigned to static or dynamic activities
 acceleration data must not be selected twice
8. When finished, press DONE
9. Do steps 6 – 8 with hip data
10. The new neural network is saved as a MAT-file in the Training folder which
was chosen in step 4.
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