ARsinoë-Learning Egyptian Hieroglyphs with Augmented Reality and Machine Learning

David A. Plecher, Christian Eichhorn, Khaled M. Seyam, Gudrun Klinker

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

The "ARsinoë"project combines gamification, Augmented Reality (AR) and machine learning to discover Egyptian hieroglyphs in a single application for the smartphone or tablet. It targets K12 students in two ways. On the one hand, it offers new approaches to the study of hieroglyphs and thus Egyptian culture and history, on the other hand, the newly gained concepts can be transferred to the learning of languages with non-Latin writing systems.

Original languageEnglish
Title of host publicationAdjunct Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages326-332
Number of pages7
ISBN (Electronic)9781728176758
DOIs
StatePublished - Nov 2020
Event2020 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2020 - Virtual, Recife, Brazil
Duration: 9 Nov 202013 Nov 2020

Publication series

NameAdjunct Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2020

Conference

Conference2020 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2020
Country/TerritoryBrazil
CityVirtual, Recife
Period9/11/2013/11/20

Keywords

  • AR
  • Deep Learning
  • Education
  • Hieroglyphs
  • K12
  • Languages
  • LeARning
  • Serious Application

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