A smartphone-based obstacle sensor for the visually impaired

Authors:
En Peng;Patrick Peursum;Ling Li;Svetha Venkatesh
Affiliations:
Department of Computing, Curtin University of Technology, Perth, Australia;Department of Computing, Curtin University of Technology, Perth, Australia;Department of Computing, Curtin University of Technology, Perth, Australia;Department of Computing, Curtin University of Technology, Perth, Australia
Venue:
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
Year:
2010

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Abstract

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 systemcombines 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.