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A Haptic Interface for Guiding People with Visual Impairment using Three Dimensional Computer Vision

Topics: Applications: Image Processing and Artificial Vision, Pattern Recognition, Decision Making, Industrial and Real World Applications, Financial Applications, Neural Prostheses and Medical Applications, Neural Based Data Mining and Complex Information Process; Convolutional Neural Networks

Authors: Kevin Swingler 1 and Chris Grigson 2

Affiliations: 1 Computing Sciene and Mathematics, University of Stirling, Stirling, FK9 4LA, U.K. ; 2 Faculty of Health Sciences and Sport, University of Stirling, Stirling, FK9 4LA, U.K.

Keyword(s): 3D Computer Vision, Object Detection, Assistive Technology, Visual Impairment, Haptic Feedback.

Abstract: Computer vision technology has the potential to provide life changing assistance to blind or visually impaired (BVI) people. This paper presents a technique for locating objects in three dimensions and guiding a person’s hand to the object. Computer vision algorithms are used to locate both objects of interest and the user’s hand. Their relative locations are used to calculate the movement required to take the hand closer to the object. The required direction is signaled to the user via a haptic wrist band, which consists of four haptic motors worn at the four compass points on the wrist. Guidance works both in two and three dimensions, making use of both colour and depth map inputs from a camera. User testing found that people were able to follow the haptic instructions and move their hand to locations on vertical or horizontal surfaces. This work is part of the Artificial Intelligence Sight Loss Assistant (AISLA) project.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Swingler, K. and Grigson, C. (2022). A Haptic Interface for Guiding People with Visual Impairment using Three Dimensional Computer Vision. In Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - NCTA; ISBN 978-989-758-611-8; ISSN 2184-3236, SciTePress, pages 315-322. DOI: 10.5220/0011307800003332

@conference{ncta22,
author={Kevin Swingler. and Chris Grigson.},
title={A Haptic Interface for Guiding People with Visual Impairment using Three Dimensional Computer Vision},
booktitle={Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - NCTA},
year={2022},
pages={315-322},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011307800003332},
isbn={978-989-758-611-8},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - NCTA
TI - A Haptic Interface for Guiding People with Visual Impairment using Three Dimensional Computer Vision
SN - 978-989-758-611-8
IS - 2184-3236
AU - Swingler, K.
AU - Grigson, C.
PY - 2022
SP - 315
EP - 322
DO - 10.5220/0011307800003332
PB - SciTePress

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