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Most of the researches based on sensors and ontology for abnormal activity recognition only considers whether the action itself is dangerous or abnormal, showing that the routine activities are modeled and any deviation from the activity model is recognized as abnormality, so emphasizing the scenario semantics factor and user’s own situation for handling misjudgement or omissive judgement. Collecting activity data of daily living and then establishing the corresponding ontology base, meanwhile adding four kinds of identified abnormal activities, it has a better recognition of abnormal activities. The result of experiment validates that the recognition accuracy of abnormal activity is improved obviously.