Development of AR Information System Based on Deep Learning and Gamification

Tetsuro Ogi, Yusuke Takesue, Stephan Lukosch

研究成果: Chapter

抄録

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.

本文言語English
ホスト出版物のタイトルLecture Notes on Data Engineering and Communications Technologies
出版社Springer Science and Business Media Deutschland GmbH
ページ485-493
ページ数9
DOI
出版ステータスPublished - 2019

出版物シリーズ

名前Lecture Notes on Data Engineering and Communications Technologies
22
ISSN(印刷版)2367-4512
ISSN(電子版)2367-4520

ASJC Scopus subject areas

  • メディア記述
  • 電子工学および電気工学
  • コンピュータ サイエンスの応用
  • コンピュータ ネットワークおよび通信
  • 情報システム

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