智能空间中基于场景和本体的用户异常活动识别

基于传感器和本体的异常活动识别研究大多数认为,任何偏离日常活动的模型都是异常,却忽略场景因素。根据本体库中的ADL场景和四种已确定的异常活动,对异常活动进行更丰富的识别。经过试验验证,异常活动识别准确率有明显提高。

Human Abnormal Activity Recognition Using Scenario andOntology in Intelligent Space

Most of the researches based on sensors and ontology for abnormal activity recognition shows that the routine activities are modeled and any deviation from the activity model is recognized as abnormality,but ignoring the scenario factor. According to the ADL scenario in the ontology base and 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.