Making digital signage adaptive through a genetic algorithm: Utilizing viewers' involuntary behaviors

Ken Nagao, Issei Fujishiro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Digital signage has been becoming more popular due to the recent development of underlying hardware technology and improvement in installing environments. In digital signage, it is important to make the content more attractive to the viewers by evaluating its current attractiveness on the fly, in order to deliver the message from the sender more effectively. Most previous works for this evaluation do not take the viewers' feeling towards the content into account, and the content is improved manually if needed in an off-line manner. In this paper, we present a novel method which does not rely on such manual evaluation and automatically makes the content more adapted to the viewers. To this end, we take advantage of the viewers' involuntary behaviors in front of the digital signage for online updates through the usage of a genetic algorithm.

Original languageEnglish
Title of host publicationVISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications
Pages54-59
Number of pages6
Publication statusPublished - 2013 May 31
Event8th International Conference on Computer Vision Theory and Applications, VISAPP 2013 - Barcelona, Spain
Duration: 2013 Feb 212013 Feb 24

Publication series

NameVISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications
Volume2

Other

Other8th International Conference on Computer Vision Theory and Applications, VISAPP 2013
CountrySpain
CityBarcelona
Period13/2/2113/2/24

Keywords

  • Digital signage
  • Genetic algorithm
  • Human behavior recognition
  • Image processing

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Nagao, K., & Fujishiro, I. (2013). Making digital signage adaptive through a genetic algorithm: Utilizing viewers' involuntary behaviors. In VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications (pp. 54-59). (VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications; Vol. 2).