Close menu

SURE

Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Assistive Technology for the Visually Impaired: Optimizing Frame Rate (Freshness) to Improve the Performance of Real-Time Objects Detection Application

Barakat, Basel, Steponenaite, Aiste, Lall, Gurprit S., Arshad, Kamran, Wassell, Ian J. and Keates, Simeon (2020) Assistive Technology for the Visually Impaired: Optimizing Frame Rate (Freshness) to Improve the Performance of Real-Time Objects Detection Application. In: Universal Access in Human-Computer Interaction. Applications and Practice. Springer, pp. 479-492. ISBN 9783030491079

Item Type: Book Section

Abstract

It has been 100+ years since the world’s first commercial radio station started. This century witnessed several astonishing inventions (e.g. the computer, internet and mobiles) that have shaped the way we work and socialize. With the start of a new decade, it is evident that we are becoming more reliant on these new technologies as the majority of the world population relies on the new technology on a daily basis. As world’s population is becoming reliant on new technologies and we are shaping our lives around it, it is of paramount importance to consider those people who struggle in using the new technologies and inventions. In this paper, we are presenting an algorithm and a framework that helps partially sighted people to locate their essential belongings. The framework integrates state-of-the-art technologies from computer vision, speech recognition and communication queueing theory to create a framework that can be implemented on low computing power platforms. The framework verbally communicates with the users to identify the object they are aiming to find and then notify them when it is within the range.

[img] PDF
HCI-Barakat.pdf - Accepted Version
Restricted to Repository staff only

Download (2MB)

More Information

Depositing User: Basel Barakat

Identifiers

Item ID: 14174
Identification Number: https://doi.org/10.1007/978-3-030-49108-6_34
ISSN: 0302-9743
ISBN: 9783030491079
URI: http://sure.sunderland.ac.uk/id/eprint/14174
Official URL: http://dx.doi.org/10.1007/978-3-030-49108-6_34

Users with ORCIDS

ORCID for Basel Barakat: ORCID iD orcid.org/0000-0001-9126-7613

Catalogue record

Date Deposited: 25 Nov 2021 15:05
Last Modified: 25 Jan 2022 08:49

Contributors

Author: Basel Barakat ORCID iD
Author: Aiste Steponenaite
Author: Gurprit S. Lall
Author: Kamran Arshad
Author: Ian J. Wassell
Author: Simeon Keates

University Divisions

Faculty of Technology > School of Computer Science

Subjects

Computing
Engineering

Actions (login required)

View Item (Repository Staff Only) View Item (Repository Staff Only)