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A categorisation of performance errors in continuous context recognition

This paper addresses the shortcomings of existing methods for continuous context and activity recognition systems. It presents an evaluation methodology that (1) provides an objective, non ambiguous way to score event recognition, (2) includes event merges and fragmentations in the error summary, and (3) accounts for timing error as a separate category.