作者: George Papamatthaiakis , George C. Polyzos , George Xylomenos
DOI: 10.1109/CCNC.2010.5421717
关键词:
摘要: We present our work on a sensor-based smart system automatically trained to recognize the activities of individuals in their home. In this paper we and analyze method for recognizing indoor everyday monitored individual. This is based data mining technique association rules Allen's temporal relations. Our experimental results show that many (but not all) activities, produces recognition accuracy nearly 100%, contrast other methods classifiers. The proposed accurate, very flexible adaptable dynamic environment such as "Smart Home" believe it deserves further attention.