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
Volume2
Publication statusPublished - 2013
Event8th International Conference on Computer Vision Theory and Applications, VISAPP 2013 - Barcelona, Spain
Duration: 2013 Feb 212013 Feb 24

Other

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

Fingerprint

Genetic algorithms
Hardware

Keywords

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

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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 (Vol. 2, pp. 54-59)

Making digital signage adaptive through a genetic algorithm : Utilizing viewers' involuntary behaviors. / Nagao, Ken; Fujishiro, Issei.

VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications. Vol. 2 2013. p. 54-59.

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

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. vol. 2, pp. 54-59, 8th International Conference on Computer Vision Theory and Applications, VISAPP 2013, Barcelona, Spain, 13/2/21.
Nagao K, Fujishiro I. 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. Vol. 2. 2013. p. 54-59
Nagao, Ken ; Fujishiro, Issei. / Making digital signage adaptive through a genetic algorithm : Utilizing viewers' involuntary behaviors. VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications. Vol. 2 2013. pp. 54-59
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