Real-Time Scene Monitoring for Deaf-Blind People

It is estimated that at least 15 million people worldwide live with severe deaf-blindness, with many more experiencing varying degrees of deaf-blindness. The existing options of assistance are mostly limited to walking canes, guide dogs and human care. We propose a wearable device which harnesses a...

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Autores principales: Kassem, Khaled, Caramazza, Piergiorgio, Mitchell, Kevin J., Miller, Mitch, Emadi, Azadeh, Faccio, Daniele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571695/
https://www.ncbi.nlm.nih.gov/pubmed/36236236
http://dx.doi.org/10.3390/s22197136
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author Kassem, Khaled
Caramazza, Piergiorgio
Mitchell, Kevin J.
Miller, Mitch
Emadi, Azadeh
Faccio, Daniele
author_facet Kassem, Khaled
Caramazza, Piergiorgio
Mitchell, Kevin J.
Miller, Mitch
Emadi, Azadeh
Faccio, Daniele
author_sort Kassem, Khaled
collection PubMed
description It is estimated that at least 15 million people worldwide live with severe deaf-blindness, with many more experiencing varying degrees of deaf-blindness. The existing options of assistance are mostly limited to walking canes, guide dogs and human care. We propose a wearable device which harnesses a multi-antenna mmWave radar transceiver and a haptic feedback array for real time detection of a person moving within a scene. We present our findings from a series of workshops with participants classed with multi-sensory impairments (MSI), to demonstrate the relative success of this approach and its potential for integration into existing assistance for the MSI of the future.
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spelling pubmed-95716952022-10-17 Real-Time Scene Monitoring for Deaf-Blind People Kassem, Khaled Caramazza, Piergiorgio Mitchell, Kevin J. Miller, Mitch Emadi, Azadeh Faccio, Daniele Sensors (Basel) Communication It is estimated that at least 15 million people worldwide live with severe deaf-blindness, with many more experiencing varying degrees of deaf-blindness. The existing options of assistance are mostly limited to walking canes, guide dogs and human care. We propose a wearable device which harnesses a multi-antenna mmWave radar transceiver and a haptic feedback array for real time detection of a person moving within a scene. We present our findings from a series of workshops with participants classed with multi-sensory impairments (MSI), to demonstrate the relative success of this approach and its potential for integration into existing assistance for the MSI of the future. MDPI 2022-09-21 /pmc/articles/PMC9571695/ /pubmed/36236236 http://dx.doi.org/10.3390/s22197136 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Kassem, Khaled
Caramazza, Piergiorgio
Mitchell, Kevin J.
Miller, Mitch
Emadi, Azadeh
Faccio, Daniele
Real-Time Scene Monitoring for Deaf-Blind People
title Real-Time Scene Monitoring for Deaf-Blind People
title_full Real-Time Scene Monitoring for Deaf-Blind People
title_fullStr Real-Time Scene Monitoring for Deaf-Blind People
title_full_unstemmed Real-Time Scene Monitoring for Deaf-Blind People
title_short Real-Time Scene Monitoring for Deaf-Blind People
title_sort real-time scene monitoring for deaf-blind people
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571695/
https://www.ncbi.nlm.nih.gov/pubmed/36236236
http://dx.doi.org/10.3390/s22197136
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