2016
DOI: 10.1016/j.ijhcs.2015.08.003
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Sonification of guidance data during road crossing for people with visual impairments or blindness

Abstract: In the last years several solutions were proposed to support people with visual impairments or blindness during road crossing. These solutions focus on computer vision techniques for recognizing pedestrian crosswalks and computing their relative position from the user. Instead, this contribution addresses a different problem; the design of an auditory interface that can effectively guide the user during road crossing. Two original auditory guiding modes based on data sonification are presented and compared wit… Show more

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Cited by 52 publications
(36 citation statements)
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References 14 publications
(28 reference statements)
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“…The other experiments have been also implemented for capturing the PWDs behavior, such as, walking speed of VIPs [3], stair evacuation speed [4], doorways capacity by considering PWDs and elderly people ( [5]). The specific research relating to the blind and VIP is also conducted, which is mainly focused on the autonomously navigation, such as, accessible smartphones for blind user [6], Acoustic way finding [7], ZebraRecognizer [8], traffic lights detection on smartphones [9], and sonification of guidance data [10].…”
Section: Introductionmentioning
confidence: 99%
“…The other experiments have been also implemented for capturing the PWDs behavior, such as, walking speed of VIPs [3], stair evacuation speed [4], doorways capacity by considering PWDs and elderly people ( [5]). The specific research relating to the blind and VIP is also conducted, which is mainly focused on the autonomously navigation, such as, accessible smartphones for blind user [6], Acoustic way finding [7], ZebraRecognizer [8], traffic lights detection on smartphones [9], and sonification of guidance data [10].…”
Section: Introductionmentioning
confidence: 99%
“…In the field of pedestrian crossings, the problem of guiding people with VIB has been specifically addressed by Mascetti et at. [18].…”
Section: System Modulesmentioning
confidence: 99%
“…Constants: g, y and r represent the three optical unit colors (i.e., green, yellow and red). Method: 3: {Extraction of candidate AOU} 4: i ← apply f c to i {i is a binary image} 5: O ← extract the set of contours from i 6: for all (contour o ∈ O) do 7: {Pruning of candidate AOU} 8: o ← rotate o by the inverse of the inclination of h 9: if (o does not satisfy "distance" or "width" properties) then 10: continue {prune o} 11: end if 12: {Validation} 13: p ← image patch, extract from i, corresponding to the MBR of o 14: p ← resize p to have the same size of t c 15: α is the result of normalized cross correlation between t c and p 16: if (α > T ) then add o, c to R 17: end for 18: end for…”
Section: Algorithm 1: Image Processing (Non Optimized Version)mentioning
confidence: 99%
“…Sonification could be used as the sole audio feedback method, or in conjunction with speech information. A similar approach has been followed by the same team when working with a navigational task [2]. This will allow the user to distinguish between a continuous range of colors, rather than a discrete one.…”
Section: Future Workmentioning
confidence: 99%
“…There are indeed many commercial applications, as well as research projects, aimed at supporting visually impaired people in their everyday tasks. Among others applications, some support outdoor orientation and independent mobility (commercial applications like AriadneGPS 4 , iMove 5 and many research projects [1][2][3][4][5][6]), others help recognising objects (like AudioLabels 6 ) or sources of lights (like the commercial application LightDetector 7 ). In this paper we consider the problem of detecting the color of items (e.g.…”
Section: Introductionmentioning
confidence: 99%