Memorias de investigación
Artículos en revistas:
Generation of human computational models with machine learning
Año:2014

Áreas de investigación
  • Ciencias de la computación y tecnología informática,
  • Telemática,
  • Inteligencia ambiental

Datos
Descripción
Services in smart environments pursue to increase the quality of people?s lives. The most important issues when developing this kind of environments is testing and validating such services. These tasks usually imply high costs and annoying or unfeasible real-world testing. In such cases, artificial societies may be used to simulate the smart environment (i.e. physical environment, equipment and humans). With this aim, the CHROMUBE methodology guides test engineers when modeling human beings. Such models reproduce behaviors which are highly similar to the real ones. Originally, these models are based on automata whose transitions are governed by random variables. Automaton?s structure and the probability distribution functions of each random variable are determined by a manual test and error process. In this paper, it is presented an alternative extension of this methodology which avoids the said manual process. It is based on learning human behavior patterns automatically from sensor data by using machine learning techniques. The presented approach has been tested on a real scenario, where this extension has given highly accurate human behavior models,
Internacional
Si
JCR del ISI
Si
Título de la revista
Information Sciences
ISSN
0020-0255
Factor de impacto JCR
3,893
Información de impacto
Available online 18 September 2014
Volumen
0
DOI
Número de revista
293
Desde la página
97
Hasta la página
114
Mes
SIN MES
Ranking

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Participantes
  • Autor: Francisco Campuzano Universidad de Murcia
  • Autor: Teresa Garcia-Valverde Universidad de Murcia
  • Autor: Juan A. Botia Universidad de Murcia
  • Autor: Emilio Serrano Fernandez UPM

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
  • Departamento: Ingeniería de Sistemas Telemáticos