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APPENDIX
5.3. How to classify activities
Follow the instructions to apply the classification procedure on accelerometry data:
1. Press the button Classification
2. With the Browse… buttons choose
 a MAT-file as neural network
(e.g. NeuralNetworks_SubjectID_date.mat)
 a folder containing Hip and Tibia folder with data for classification
3. Define where the asked sensor is placed
4. If the error message “No time synchronization file found!” appears, follow step
20 in 5.1. How to synchronize two accelerometers on page xv and start over
5. Pop-up windows will show the classification results
 Window with tibia results will appear exactly behind window with hip results
6. The window Visibility of graphical representations offers to choose which
pop-up windows are shown on the screen.
7. To end the classification progress press Close All
8. The graphical representations are saved as FIG-files in a new folder
Graphical representations
acceleration [g]
Absolute acceleration of Tibia starting on 2013-08-26 10:16
2
1
0
24:57
27:50
time [MM:SS]
sprinting
jogging
stairs down
stairs up
walking slow
walking normal
lying
sitting
standing
unclassifiable
25:00
time [MM:SS]
Classification certainty of Tibia starting on 2013-08-26 10:16
100
Certainty [%]
Activity class
Activity classification of Tibia starting on 2013-08-26 10:16
80
60
40
20
25:00
time [MM:SS]
xvii
On the left of the screen, the
results are represented in a
time dependent diagram. The
upper curve shows the absolute acceleration of the
measurement in g-force. The
graph in the middle has a
nominal scale with dots
showing successful classifications. The lower graph
contains the corresponding
certainty levels of the classifications.