A smart handheld device navigation system based on detecting visual code

Chi Hung Chuang*, Jun-Wei Hsieh, Kuo Chin Fan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this paper, a computer vision based method is proposed to deal with the problem of navigation for visually impaired people. Using the color information and the marker encoding method used in Augmented Reality, we design these color markers which can be placed in the environment. In practice, users used a Smart Phone to find the marker, and the phone will send a feedback to the users. Besides the code of the marker, we also use the data collected from Smart Phone's sensor to improve the navigation system. Experimental results show that our color marker can be used in indoor and outdoor environments and can guide the users successfully to their destinations. They reveal the validity and feasibility of the system in navigation for visually impaired people.

Original languageEnglish
Title of host publicationProceedings - International Conference on Machine Learning and Cybernetics
PublisherIEEE Computer Society
Pages1407-1412
Number of pages6
ISBN (Electronic)9781479902576
DOIs
StatePublished - 1 Jan 2013
Event12th International Conference on Machine Learning and Cybernetics, ICMLC 2013 - Tianjin, China
Duration: 14 Jul 201317 Jul 2013

Publication series

NameProceedings - International Conference on Machine Learning and Cybernetics
Volume3
ISSN (Print)2160-133X
ISSN (Electronic)2160-1348

Conference

Conference12th International Conference on Machine Learning and Cybernetics, ICMLC 2013
CountryChina
CityTianjin
Period14/07/1317/07/13

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