A smartphone-based obstacle sensor for the visually impaired

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, nonintrusive and able t...

Full description

Bibliographic Details
Main Authors: Peng, En, Peursum, Patrick, Li, Ling, Venkatesh, Svetha
Other Authors: Z. Yu
Format: Conference Paper
Published: Springer-Verlag 2010
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/14536
_version_ 1848748649373237248
author Peng, En
Peursum, Patrick
Li, Ling
Venkatesh, Svetha
author2 Z. Yu
author_facet Z. Yu
Peng, En
Peursum, Patrick
Li, Ling
Venkatesh, Svetha
author_sort Peng, En
building Curtin Institutional Repository
collection Online Access
description 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, nonintrusive 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.
first_indexed 2025-11-14T07:08:24Z
format Conference Paper
id curtin-20.500.11937-14536
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T07:08:24Z
publishDate 2010
publisher Springer-Verlag
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-145362023-01-13T07:56:29Z A smartphone-based obstacle sensor for the visually impaired Peng, En Peursum, Patrick Li, Ling Venkatesh, Svetha Z. Yu R. Liscano G. Chen D. Zhang X. Zhou Obstacle detection real-time monocular vision visually impaired 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, nonintrusive 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. 2010 Conference Paper http://hdl.handle.net/20.500.11937/14536 10.1007/978-3-642-16355-5_45 Springer-Verlag fulltext
spellingShingle Obstacle detection
real-time
monocular vision
visually impaired
Peng, En
Peursum, Patrick
Li, Ling
Venkatesh, Svetha
A smartphone-based obstacle sensor for the visually impaired
title A smartphone-based obstacle sensor for the visually impaired
title_full A smartphone-based obstacle sensor for the visually impaired
title_fullStr A smartphone-based obstacle sensor for the visually impaired
title_full_unstemmed A smartphone-based obstacle sensor for the visually impaired
title_short A smartphone-based obstacle sensor for the visually impaired
title_sort smartphone-based obstacle sensor for the visually impaired
topic Obstacle detection
real-time
monocular vision
visually impaired
url http://hdl.handle.net/20.500.11937/14536