Xiao Liu PhD Thesis.pdf - Faculty of Information and Communication ...

Activity Durations
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Figure 4.4 Predicted Duration Intervals
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4.4.2 Comparison Results
Here, we first demonstrate the comparison results on the performance of time-series
segmentation. Similar to the example presented above, a total of 100 test cases of
time series, each stands for an independent activity, are randomly selected and tested
with segmentation algorithm. As discussed in Section 4.3.3, given the same testing
criterion, i.e. with the maximum standard deviation, the smaller the number of
segments, the better the segmentation performance is.
Figure 4.5 Performance on Time-Series Segmentation
As can be seen in Figure 4.5, in most cases, our novel hybrid time-series
segmentation algorithm K-MaxSDev behaves the best and achieves the minimal
number of segments which build up the effective basis for time-series pattern
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