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Automatic Assistant for Better Mobility and Improved Cognition of Partially Sighted PersonsTAPU, R. , MOCANU, B. , ZAHARIA, T. |
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Author keywords
visual impaired navigation assistant, obstacle detection and classification, audio feedback, smartphone device
References keywords
visually(11), vision(11), impaired(10), system(5), detection(5), blind(5), visual(4), obstacle(4), navigation(4)
No common words between the references section and the paper title.
About this article
Date of Publication: 2015-08-31
Volume 15, Issue 3, Year 2015, On page(s): 45 - 52
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.03006
Web of Science Accession Number: 000360171500006
SCOPUS ID: 84940735074
Abstract
In these paper we introduce a novel computer vision assistant for autonomous navigation of partially sighted people. We begin by detecting any type of static and dynamic obstacle present in the scene. Then, we introduce an adapted version of HOG (Histogram of Oriented Gradients) descriptor incorporated into the BoVW (Bag of Visual Words) retrieval framework and demonstrate how this combination can be used for obstacle classification. The design is completed with an acoustic feedback that alert user of potential hazards. The audio bone conduction is employed to allow the visually impaired to hear other sounds from the environment. At the hardware level, the system is totally integrated on a smartphone which makes it easy to wear, non-invasive and low-cost. |
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[1] Image Retrieval using One-Dimensional Color Histogram Created with Entropy, KILICASLAN, M., TANYERI, U., DEMIRCI, R., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 20, 2020.
Digital Object Identifier: 10.4316/AECE.2020.02010 [CrossRef] [Full text]
[2] Augmented Reality Glasses as an Orientation and Mobility Aid for People with Low Vision: a Feasibility Study of Experiences and Requirements, Min Htike, Hein, H. Margrain, Tom, Lai, Yu-Kun, Eslambolchilar, Parisa, Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, ISBN 9781450380966, 2021.
Digital Object Identifier: 10.1145/3411764.3445327 [CrossRef]
[3] Autonomous rover trap system with integration of multiple sensors using fuzzy logic technique, Santhosh, P., Doss, Arockia Selvakumar Arockia, 4TH INTERNATIONAL CONFERENCE ON ROBOTICS, INTELLIGENT AUTOMATION AND CONTROL TECHNOLOGIES (RIACT2023), ISBN , Issue , 2024.
Digital Object Identifier: 10.1063/5.0226550 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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