TY - GEN
T1 - Identifying Crucial Objects in Blind and Low-Vision Individuals' Navigation
AU - Islam, Md Touhidul
AU - Kabir, Imran
AU - Pearce, Elena Ariel
AU - Reza, Md Alimoor
AU - Billah, Syed Masum
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
PY - 2024/10/27
Y1 - 2024/10/27
N2 - This paper presents a curated list of 90 objects essential for the navigation of blind and low-vision (BLV) individuals, encompassing road, sidewalk, and indoor environments. We develop the initial list by analyzing 21 publicly available videos featuring BLV individuals navigating various settings. Then, we refne the list through feedback from a focus group study involving blind, low-vision, and sighted companions of BLV individuals. A subsequent analysis reveals that most contemporary datasets used to train recent computer vision models contain only a small subset of the objects in our proposed list. Furthermore, we provide detailed object labeling for these 90 objects across 31 video segments derived from the original 21 videos. Finally, we make the object list, the 21 videos, and object labeling in the 31 video segments publicly available. This paper aims to fll the existing gap and foster the development of more inclusive and efective navigation aids for the BLV community.
AB - This paper presents a curated list of 90 objects essential for the navigation of blind and low-vision (BLV) individuals, encompassing road, sidewalk, and indoor environments. We develop the initial list by analyzing 21 publicly available videos featuring BLV individuals navigating various settings. Then, we refne the list through feedback from a focus group study involving blind, low-vision, and sighted companions of BLV individuals. A subsequent analysis reveals that most contemporary datasets used to train recent computer vision models contain only a small subset of the objects in our proposed list. Furthermore, we provide detailed object labeling for these 90 objects across 31 video segments derived from the original 21 videos. Finally, we make the object list, the 21 videos, and object labeling in the 31 video segments publicly available. This paper aims to fll the existing gap and foster the development of more inclusive and efective navigation aids for the BLV community.
UR - http://www.scopus.com/inward/record.url?scp=85211463503&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85211463503&partnerID=8YFLogxK
U2 - 10.1145/3663548.3688538
DO - 10.1145/3663548.3688538
M3 - Conference contribution
AN - SCOPUS:85211463503
T3 - ASSETS 2024 - Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility
BT - ASSETS 2024 - Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility
PB - Association for Computing Machinery, Inc
T2 - 26th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2024
Y2 - 28 October 2024 through 30 October 2024
ER -