Immersive and perceptual human-computer interaction using computer vision techniques

Jinchang Ren, T. Vlachos, V. Argyriou

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

6 Citations (Scopus)
13 Downloads (Pure)

Abstract

Computer vision techniques have been widely applied to immersive and perceptual human-computer interaction for applications like computer gaming, education, and entertainment. In this paper, relevant techniques are surveyed in terms of image capturing, normalization, motion detection, tracking, feature representation and recognition. In addition, applications of vision techniques in HCI in computer gaming are also summarized in several categories including vision enabled pointing and
positioning, vision for manipulating objects, training and education, and miscellaneous applications. The characteristics of existing work are analyzed and
discussed, along with corresponding challenges and future research directions proposed.
Original languageEnglish
Title of host publicationProceedings of the 2010 IEEE computer society conference on computer vision and pattern recognition workshops (cvprw)
Place of PublicationNew York
PublisherIEEE
Pages66-72
Number of pages7
ISBN (Print)9781424470297
DOIs
Publication statusPublished - 2010
Event2010 IEEE computer society conference on computer vision and pattern recognition workshops (cvprw) - San Francisco, United States
Duration: 13 Jun 201018 Jun 2010

Conference

Conference2010 IEEE computer society conference on computer vision and pattern recognition workshops (cvprw)
CountryUnited States
CitySan Francisco
Period13/06/1018/06/10

Keywords

  • application software
  • computer science education
  • user interfaces
  • motion detection
  • Immersive
  • human-computer interaction
  • perceptual
  • computer vision techniques

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  • Cite this

    Ren, J., Vlachos, T., & Argyriou, V. (2010). Immersive and perceptual human-computer interaction using computer vision techniques. In Proceedings of the 2010 IEEE computer society conference on computer vision and pattern recognition workshops (cvprw) (pp. 66-72). IEEE. https://doi.org/10.1109/CVPRW.2010.5543161