Proposal of a Map-Making System for Mobile Learning that Uses Subjective Geographic Recognition

Authors:
Yuri Yamamoto;Keisuke Nakazawa;Hiroshi Shigeno
Affiliations:
Keio University;Keio University;Keio University
Venue:
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Year:
2005

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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 manýs subjective geographic recognition in addition to a GPS. With the help of manýs ability of recognizing placement of objects and geographical relations between objects, objective geographic information with small error given by a GPS is effectively compensated.