Proposal of a map-making system for mobile learning that uses subjective geographic recognition

Tomoo Inoue, Yuri Yamamoto, Keisuke Nakazawa, Hiroshi Shigeno, Kenichi Okada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper describes a technique for mapping objects such as insects and plants in the field on a blank map in mobile learning. We propose map creating system that utilizes man's subjective geographic recognition in addition to a GPS. With the help of man's ability of recognizing placement of objects and geographical relations between objects, objective geographic information with small error given by a GPS is effectively compensated.

Original languageEnglish
Title of host publicationProceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
Pages677-678
Number of pages2
DOIs
Publication statusPublished - 2005 Dec 1
Event5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005 - Kaohsiung, Taiwan, Province of China
Duration: 2005 Jul 52005 Jul 8

Publication series

NameProceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
Volume2005

Other

Other5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
CountryTaiwan, Province of China
CityKaohsiung
Period05/7/505/7/8

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Inoue, T., Yamamoto, Y., Nakazawa, K., Shigeno, H., & Okada, K. (2005). Proposal of a map-making system for mobile learning that uses subjective geographic recognition. In Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005 (pp. 677-678). [1508787] (Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005; Vol. 2005). https://doi.org/10.1109/ICALT.2005.227