ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Enterprise J2ME: Developing Mobile Java Applications
Enterprise J2ME: Developing Mobile Java Applications
AINA '04 Proceedings of the 18th International Conference on Advanced Information Networking and Applications - Volume 2
Inferring Activities from Interactions with Objects
IEEE Pervasive Computing
An Ambient Intelligent Approach to Control Behaviours on a Tagged World
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
A system for recognizing activities of daily living using everyday objects
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part IV
Fuzzy method to disclose behaviour patterns in a Tagged World
Expert Systems with Applications: An International Journal
Similarity measure for anomaly detection and comparing human behaviors
International Journal of Intelligent Systems
Information Sciences: an International Journal
A survey on ontologies for human behavior recognition
ACM Computing Surveys (CSUR)
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This paper presents a system that is able to process the information provided by a Tagged World to identify user's behavior and to produce alarms in dangerous situations. The system inputs are signals from sensors, which are used to recognize correct behavior (action sequences) by Inductive Learning, using Data Mining techniques. The inference engine is a reasoning device that is implemented by means of Regular Grammars. It permits us to control user's behavior. As output, the system produces and sends alarms when a user action sequence is wrong, indicating the erroneous actions, forgotten future, and so on. To test our system, the Tagged World is supposed to be at a house, where we have used RFID technology to control the objects inside it.