Use of human geographic recognition to reduce GPS error in mobile map-making learning

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

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

6 Citations (Scopus)

Abstract

This paper describes a technique for mapping objects such as insects and plants that exist in the field on a blank map in mobile learning. We propose to use man 's geographic recognition in addition to a GPS for mapping objects. With the help of man's ability to recognize placement of objects and geographical relations between objects, objective geographic information with small error given by a GPS is effectively compensated. A mobile map-making learning system has been developed. Usability studies of the system and the map produced by the system are also provided.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies, ICN/ICONS/MCL'06
PublisherIEEE Computer Society
Pages222-226
Number of pages5
ISBN (Print)0769525520, 9780769525525
DOIs
Publication statusPublished - 2006
EventInternational Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies, ICN/ICONS/MCL'06 - Morne, Mauritius
Duration: 2006 Apr 232006 Apr 29

Publication series

NameProceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies,ICN/ICONS/MCL'06
Volume2006

Other

OtherInternational Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies, ICN/ICONS/MCL'06
Country/TerritoryMauritius
CityMorne
Period06/4/2306/4/29

ASJC Scopus subject areas

  • Engineering(all)

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