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.
%0 Journal Article
%1 DelgadoaRosAmparoVila09eswa
%A Delgadoa, Miguel
%A Ros, María
%A Amparo Vila, Maria
%D 2009
%J Expert Systems with Applications
%K v1500 ieee paper embedded ai adaptive assist sensor data processing home user learn action recognition rfid zzz.ami
%N 6
%P 9899-9906
%R 10.1016/j.eswa.2009.01.077
%T Correct Behavior Identification System in a Tagged World
%V 36
%X 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.
@article{DelgadoaRosAmparoVila09eswa,
abstract = {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.},
added-at = {2012-05-30T10:44:55.000+0200},
author = {Delgadoa, Miguel and Ros, Mar\'{i}a and Amparo Vila, Maria},
biburl = {https://www.bibsonomy.org/bibtex/2de73e1fefcb5f38a84327d8f6d38fe22/flint63},
doi = {10.1016/j.eswa.2009.01.077},
file = {DeepDyve:2009/DelgadoaRosAmparoVila09eswa.pdf:PDF;Related News Article:http\://www.physorg.com/news170593432.html:URL},
groups = {public},
interhash = {320ad466a2938ce78b8c5c17acdc198a},
intrahash = {de73e1fefcb5f38a84327d8f6d38fe22},
issn = {0957-4174},
journal = {Expert Systems with Applications},
keywords = {v1500 ieee paper embedded ai adaptive assist sensor data processing home user learn action recognition rfid zzz.ami},
number = 6,
pages = {9899-9906},
timestamp = {2018-04-16T12:00:15.000+0200},
title = {Correct Behavior Identification System in a Tagged World},
username = {flint63},
volume = 36,
year = 2009
}