• DocumentCode
    1799645
  • Title

    Human computer interaction using gestures for mobile devices and serious games: A review

  • Author

    Spanogianopoulos, Sotirios ; Sirlantzis, Konstantinos ; Mentzelopoulos, Markos ; Protopsaltis, Aristidis

  • fYear
    2014
  • fDate
    13-14 Nov. 2014
  • Firstpage
    310
  • Lastpage
    314
  • Abstract
    The Human-Computer Interaction (HCI) with interfaces is an active challenge field in the industry over the past decades and has opened the way to communicate with the means of verbal, hand and body gestures using the latest technologies for a variety of different applications in areas such as video games, training and simulation. However, accurate recognition of gestures is still a challenge. In this paper, we review the basic principles and current methodologies used for collecting the raw gesture data from the user for recognize actions the users perform and the technologies currently used for gesture-HCI in games enterprise. In addition, we present a set of projects from various applications in games industry that are using gestural interaction.
  • Keywords
    gesture recognition; human computer interaction; mobile computing; serious games (computing); games enterprise; gestural interaction; gesture recognition; gesture-HCI; human computer interaction; mobile devices; serious games; Conferences; Games; Gesture recognition; Hidden Markov models; Human computer interaction; Mobile communication; Sensors; Augmented Reality (AR); Gesture Recognition; HCI; Hidden Markov Models (HMM); Support Vector Machines (SVM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Interactive Mobile Communication Technologies and Learning (IMCL), 2014 International Conference on
  • Conference_Location
    Thessaloniki
  • Type

    conf

  • DOI
    10.1109/IMCTL.2014.7011154
  • Filename
    7011154