| Literature DB >> 20411035 |
Huiying Shen1, Kee-Yip Chan, James Coughlan, John Brabyn.
Abstract
Urban intersections are the most dangerous parts of a blind or visually impaired pedestrian's travel. A prerequisite for safely crossing an intersection is entering the crosswalk in the right direction and avoiding the danger of straying outside the crosswalk. This paper presents a proof of concept system that seeks to provide such alignment information. The system consists of a standard mobile phone with built-in camera that uses computer vision algorithms to detect any crosswalk visible in the camera's field of view; audio feedback from the phone then helps the user align him/herself to it. Our prototype implementation on a Nokia mobile phone runs in about one second per image, and is intended for eventual use in a mobile phone system that will aid blind and visually impaired pedestrians in navigating traffic intersections.Entities:
Year: 2008 PMID: 20411035 PMCID: PMC2856957
Source DB: PubMed Journal: Technol Disabil ISSN: 1055-4181