A Multi-objective Evolutionary Algorithm for Interaction Systems Based on Laser Pointers
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  • 作者:Francisco Ch谩vez (15)
    Eddie Clemente (16)
    Daniel E. Hern谩ndez (16)
    Francisco Fern谩ndez de Vega (15)
    Gustavo Olague (16)

    15. Department of Computer Science
    ; University of Extremadura ; C/. Santa Teresa de Jornet ; 38 ; 06800 ; M茅rida ; Spain
    16. Centro de Investigaci贸n Cient铆fica y de Educaci贸n Superior de Ensenada
    ; Carretera Ensenada-Tijuana 3918 ; Zona Playitas ; 22860 ; Ensenada ; BC ; M茅xico
  • 关键词:Multi ; objective evolutionary algorithm ; Laser pointer ; Interaction systems
  • 刊名:Lecture Notes in Computer Science
  • 出版年:2015
  • 出版时间:2015
  • 年:2015
  • 卷:9028
  • 期:1
  • 页码:504-516
  • 全文大小:1,385 KB
  • 参考文献:1. Chan, M, Est猫ve, D, Escriba, C, Campo, E (2008) A review of smart homes-present state and future challenges. Comput. Meth. Prog. Biomed. 91: pp. 55-81 CrossRef
    2. Ch谩vez, F., Fern谩ndez, F., Alcal谩, R., Alcal谩-Fdez, J., Herrera, F.: Evolutionary learning of a laser pointer detection fuzzy system for an environment control system. In: 2011 IEEE International Conference on Fuzzy Systems (FUZZ), pp. 256鈥?63 (2011)
    3. Ch谩vez, F., Fern谩ndez, F., Alcal谩, R., Alcal谩-Fdez, J., Olague, G., Herrera, F.: Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments. Appll. Intell., 1鈥?7 (2010). doi:10.1007/s10489-010-0268-6
    4. Ch谩vez, F., Fern谩ndez, F., Alcal谩-Fdez, J., Alcal谩, R., Herrera, F., Olague, G.: Genetic tuning of a laser pointer environment control device system for handicapped people with fuzzy systems. In: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2010), pp. 1鈥? (2010)
    5. Ch谩vez, F, Fern谩ndez, F, Gacto, M, Alcal谩, R (2012) Automatic laser pointer detection algorithm for environment control device systems based on template matching and genetic tuning of fuzzy rule-based systems. Int. J. Comput. Intell. Syst. 5: pp. 368-386 CrossRef
    6. Ch谩vez, F., Clemente, E., Dozal, L., Fern谩ndez de Vega, F., Olague, G.: Auto-Ajuste del Foco de Atencion para la Mejora de un Sistema de Deteccion de Punto Laser. Congreso Espaol de Informtica., 713鈥?22 (2013)
    7. Clemente, E., Ch谩vez, F., Dozal, L., Fern谩ndez de Vega, F., Olague, G.: Self-adjusting focus of attention by means of GP for improving a laser point detection system. In: Proceeding of the Fifteenth Annual Conference on Genetic and Evolutionary Computation Conference, pp. 1237鈥?244 (2013)
    8. Clemente, E, Olague, G, Dozal, L, Mancilla, M Object recognition with an optimized ventral stream model using genetic programming. In: Chio, C eds. (2012) Applications of Evolutionary Computation. Springer, Heidelberg, pp. 315-325 CrossRef
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    15. Olague, G, Clemente, E, Dozal, L, Hern谩ndez, DE Evolving an artificial visual cortex for object recognition with brain programming. In: Schuetze, O, Coello, CA, Tantar, A-A, Tantar, E, Bouvry, P, Moral, PD, Legrand, P eds. (2014) EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation III. Springer, Heidelberg, pp. 97-119 CrossRef
    16. Olague, G, Dozal, L, Clemente, E, Ocampo, A Optimizing an artificial dorsal stream on purpose for visual attention. In: Schuetze, O, Coello, CA, Tantar, A-A, Tantar, E, Bouvry, P, Moral, PD, Legrand, P eds. (2014) EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation III. Springer, Heidelberg, pp. 141-166 CrossRef
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  • 作者单位:Applications of Evolutionary Computation
  • 丛书名:978-3-319-16548-6
  • 刊物类别:Computer Science
  • 刊物主题:Artificial Intelligence and Robotics
    Computer Communication Networks
    Software Engineering
    Data Encryption
    Database Management
    Computation by Abstract Devices
    Algorithm Analysis and Problem Complexity
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1611-3349
文摘
In this paper we face the problem of accurate location of a laser spot that is used as interaction system in real environments. The work presented is compared with previous approaches where different algorithms work with a single objective, using images that has been previously simplified to reduce computing time. Instead, the new approach presented in this paper is capable of processing whole images. The results show that the inclusion of multi-objective methods allows us not only to detect the presence of the laser spot, the single objective in previous works, but also to obtain accurate information of the laser spot in the image, and thus provide the location of the device on which the user wants to act.

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