Title :
Data driven conceptual structures for simultaneous activities
Author :
Amirjavid, Farzad ; Bouzouane, Abdenour ; Bouchard, Bruno
Author_Institution :
Dept. of Math. & Comput. Sci., UQAC, Chicoutimi, QC, Canada
Abstract :
An activity is a chain of fuzzy events that occur in an environment caused by an intelligent system in order to achieve a goal. A goal may be achieved by effort of more than one individual. Regardless from the physical entity (modality and location) of the intelligence source and the quantity of individuals who perform the activities; per each possible goal or activity, we consider a source of intelligence who directs the order of fuzzy events that occur in the world. By frequently observation of the world, the plan behind world actuations is modeled applying extensions of the fuzzy logic. The main key point that we deal with is the analysis of the observations in order to make inferences about possible simultaneous activities that may be planned and realized by one or more individuals. A fuzzy conceptual structure for each individual and simultaneous activity is formalized; however, the model tolerates partial deviations from the activity structure.
Keywords :
data handling; fuzzy logic; data driven conceptual structures; fuzzy events; fuzzy logic; intelligence source; intelligent system; simultaneous activities; Context; Equations; Intelligent sensors; Mathematical model; Smart homes; Temperature sensors; activity recognition; fuzzy logic; temporal data mining;
Conference_Titel :
Computer and Information Science (ICIS), 2013 IEEE/ACIS 12th International Conference on
Conference_Location :
Niigata
DOI :
10.1109/ICIS.2013.6607855