Gesture Recognition for Improved User Experience in Augmented Biology Lab View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018

AUTHORS

Gehad Hassan , Nashwa Abdelbaki

ABSTRACT

The Learning process in education systems is one of the most important issues that affect all societies. Advances in technology have influenced how people communicate and learn. Gaming Techniques (GT) and Augmented Reality (AR) technologies provide new opportunities for a learning process. They transform the student’s role from passive to active in the learning process. It can provide a realistic, authentic, engaging and interesting learning environment. Hand Gesture Recognition (HGR) is a major driver in the field of Augmented Reality (AR). In this paper, we propose an initiative Augmented Biology Lab (ABL) which mix between Augmented Reality and Gaming Techniques to make the learning process more effective in biology learning. Our contribution in this paper focuses on the integration of hand gesture recognition technique for the use within the proposed ABL to reduce the gap between biology lessons, especially in body anatomy and understanding in an interactive and collaborative way. Furthermore, we present a reliable and robust hand gesture recognition system (ABL-HGR). More... »

PAGES

299-308

References to SciGraph publications

  • 2013-02. Attention Based Detection and Recognition of Hand Postures Against Complex Backgrounds in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2009-10. Support vector machine classification with indefinite kernels in MATHEMATICAL PROGRAMMING COMPUTATION
  • 2009-10-30. A User’s Guide to Support Vector Machines in DATA MINING TECHNIQUES FOR THE LIFE SCIENCES
  • Book

    TITLE

    Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017

    ISBN

    978-3-319-64860-6
    978-3-319-64861-3

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-64861-3_28

    DOI

    http://dx.doi.org/10.1007/978-3-319-64861-3_28

    DIMENSIONS

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