You are not logged in.

A Smartphone-based obstacle sensor for the visually impaired

Peng, En, Peursum, Patrick, Li, Ling and Venkatesh, Svetha 2010, A Smartphone-based obstacle sensor for the visually impaired, in UIC 2010 : Ubiquitous intelligence and computing : 7th International Conference, Xi'an, China, October 26-29, 2010 : proceedings, Springer-Verlag, Berlin, Germany, pp. 590-604, doi: 10.1007/978-3-642-16355-5_45.

Attached Files
Name Description MIMEType Size Downloads

Title A Smartphone-based obstacle sensor for the visually impaired
Author(s) Peng, En
Peursum, Patrick
Li, Ling
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Conference name Ubiquitous Intelligence and Computing. Conference (7th : 2010 : Xi'an, China)
Conference location Xi'an, China
Conference dates 26-29 Oct. 2010
Title of proceedings UIC 2010 : Ubiquitous intelligence and computing : 7th International Conference, Xi'an, China, October 26-29, 2010 : proceedings
Editor(s) Yu, Zhiwen
Liscano, Ramiro
Chen, Guanling
Zhang, Daqing
Zhou, Xingshe
Publication date 2010
Series Lecture notes in computer science ; 6406
Conference series Ubiquitous Intelligence and Computing Conference
Start page 590
End page 604
Total pages 15
Publisher Springer-Verlag
Place of publication Berlin, Germany
Keyword(s) monocular vision
obstacle detection
real-time
visually impaired
Summary In this paper, we present a real-time obstacle detection system for the mobility improvement for the visually impaired using a handheld Smartphone. Though there are many existing assistants for the visually impaired, there is not a single one that is low cost, ultra-portable, non-intrusive and able to detect the low-height objects on the floor. This paper proposes a system to detect any objects attached to the floor regardless of their height. Unlike some existing systems where only histogram or edge information is used, the proposed system combines both cues and overcomes some limitations of existing systems. The obstacles on the floor in front of the user can be reliably detected in real time using the proposed system implemented on a Smartphone. The proposed system has been tested in different types of floor conditions and a field trial on five blind participants has been conducted. The experimental results demonstrate its reliability in comparison to existing systems.
ISBN 3642163556
9783642163555
ISSN 0302-9743
Language eng
DOI 10.1007/978-3-642-16355-5_45
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2010, Springer-Verlag Berlin Heidelberg
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044675

Document type: Conference Paper
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 22 times in TR Web of Science
Scopus Citation Count Cited 36 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 321 Abstract Views, 6 File Downloads  -  Detailed Statistics
Created: Fri, 20 Apr 2012, 13:24:40 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.