Development of AR Information System Based on Deep Learning and Gamification

Tetsuro Ogi, Yusuke Takesue, Stephan Lukosch

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Recently, several AR systems have been developed and used in various fields. However, in most AR systems, there are some restrictions caused by the usage of AR marker or location information. In this research, in order to solve these problems, AR information system that can recognize object itself based on deep learning was developed. In particular, this system was constructed using client-server model so that the machine learning can be updated while operating the system. In addition, the method of gamification was introduced to gather the learning data automatically from the users when they use the system. The prototype was applied to the AR zoo information system and the effectiveness of the proposed system was validated in the evaluation experiment.

Original languageEnglish
Title of host publicationLecture Notes on Data Engineering and Communications Technologies
PublisherSpringer
Pages485-493
Number of pages9
DOIs
Publication statusPublished - 2019 Jan 1

Publication series

NameLecture Notes on Data Engineering and Communications Technologies
Volume22
ISSN (Print)2367-4512
ISSN (Electronic)2367-4520

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Computer Networks and Communications
  • Information Systems

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  • Cite this

    Ogi, T., Takesue, Y., & Lukosch, S. (2019). Development of AR Information System Based on Deep Learning and Gamification. In Lecture Notes on Data Engineering and Communications Technologies (pp. 485-493). (Lecture Notes on Data Engineering and Communications Technologies; Vol. 22). Springer. https://doi.org/10.1007/978-3-319-98530-5_41