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Published in:
2011 | OriginalPaper | Chapter
Generic Performance Metrics for Continuous Activity Recognition
Authors : Albert Hein, Thomas Kirste
Published in: KI 2011: Advances in Artificial Intelligence
Publisher: Springer Berlin Heidelberg
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For evaluating activity recognition results still classical error metrics like
Accuracy
,
Precision
, and
Recall
are being used. They are well understood and widely accepted but entail fundamental problems: They can not handle fuzzy event boundaries, or parallel activities, and they over-emphasize decision boundaries. We introduce more generic performance metrics as replacement, allowing for soft classification and annotation while being backward compatible. We argue that they can increase the expressiveness and still allow more sophisticated methods like event and segment analysis.