Authors:Technology; Disability Abstract: CONCLUSION: Results are discussed according to micro, meso and macro levels of analysis. This extensive review can inform future studies and highlight the evidence in the area for decision makers, practitioners and/or NGOs working with innovative forms of support for carers of older people. PMID: 29527109 [PubMed] (Source: Technology and Disability) PubDate: Tue, 13 Mar 2018 21:57:02 +010
Authors:Technology; Disability Abstract: CONCLUSION: The participants in this study indicated that RTLS can provide a solution to some of the challenges that they encounter in the workplace. However, the implementation of new technologies should be done with care and should be integrated into existing ICT systems in order to minimize additional training and posing a burden on the workload. PMID: 29527110 [PubMed] (Source: Technology and Disability) PubDate: Tue, 13 Mar 2018 21:57:02 +010
Authors:Technology; Disability Abstract: Authors : Shen H, Chan KY, Coughlan J, Brabyn J 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 ph... PubDate: Fri, 20 Nov 2015 16:14:58 +010
Authors:Technology; Disability Abstract: Authors : Yuan S, Tian Y, Arditi A Matching clothes is a challenging task for many blind people. In this paper, we present a proof of concept system to solve this problem. The system consists of 1) a camera connected to a computer to perform pattern and color matching process; 2) speech commands for system control and configuration; and 3) audio feedback to provide matching results for both color and patterns of clothes. This system can handle clothes in deficient color without any pattern, as well as clothing with multiple colors and complex patterns to aid both blind and color deficient people. Furthermore, our method is robust to variations of illumination, clothing rotation and wrinkling. To evaluate the proposed prototype, we collect two challenging databases including... PubDate: Fri, 20 Nov 2015 16:14:58 +010
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