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Augmentative and Alternative Communication (AAC) Advances: A Review of Configurations for Individuals with a Speech Disability
High-tech augmentative and alternative communication (AAC) methods are on a constant rise; however, the interaction between the user and the assistive technology is still challenged for an optimal user experience centered around the desired activity. This review presents a range of signal sensing an...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6515262/ https://www.ncbi.nlm.nih.gov/pubmed/31013673 http://dx.doi.org/10.3390/s19081911 |
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author | Elsahar, Yasmin Hu, Sijung Bouazza-Marouf, Kaddour Kerr, David Mansor, Annysa |
author_facet | Elsahar, Yasmin Hu, Sijung Bouazza-Marouf, Kaddour Kerr, David Mansor, Annysa |
author_sort | Elsahar, Yasmin |
collection | PubMed |
description | High-tech augmentative and alternative communication (AAC) methods are on a constant rise; however, the interaction between the user and the assistive technology is still challenged for an optimal user experience centered around the desired activity. This review presents a range of signal sensing and acquisition methods utilized in conjunction with the existing high-tech AAC platforms for individuals with a speech disability, including imaging methods, touch-enabled systems, mechanical and electro-mechanical access, breath-activated methods, and brain–computer interfaces (BCI). The listed AAC sensing modalities are compared in terms of ease of access, affordability, complexity, portability, and typical conversational speeds. A revelation of the associated AAC signal processing, encoding, and retrieval highlights the roles of machine learning (ML) and deep learning (DL) in the development of intelligent AAC solutions. The demands and the affordability of most systems hinder the scale of usage of high-tech AAC. Further research is indeed needed for the development of intelligent AAC applications reducing the associated costs and enhancing the portability of the solutions for a real user’s environment. The consolidation of natural language processing with current solutions also needs to be further explored for the amelioration of the conversational speeds. The recommendations for prospective advances in coming high-tech AAC are addressed in terms of developments to support mobile health communicative applications. |
format | Online Article Text |
id | pubmed-6515262 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-65152622019-05-30 Augmentative and Alternative Communication (AAC) Advances: A Review of Configurations for Individuals with a Speech Disability Elsahar, Yasmin Hu, Sijung Bouazza-Marouf, Kaddour Kerr, David Mansor, Annysa Sensors (Basel) Review High-tech augmentative and alternative communication (AAC) methods are on a constant rise; however, the interaction between the user and the assistive technology is still challenged for an optimal user experience centered around the desired activity. This review presents a range of signal sensing and acquisition methods utilized in conjunction with the existing high-tech AAC platforms for individuals with a speech disability, including imaging methods, touch-enabled systems, mechanical and electro-mechanical access, breath-activated methods, and brain–computer interfaces (BCI). The listed AAC sensing modalities are compared in terms of ease of access, affordability, complexity, portability, and typical conversational speeds. A revelation of the associated AAC signal processing, encoding, and retrieval highlights the roles of machine learning (ML) and deep learning (DL) in the development of intelligent AAC solutions. The demands and the affordability of most systems hinder the scale of usage of high-tech AAC. Further research is indeed needed for the development of intelligent AAC applications reducing the associated costs and enhancing the portability of the solutions for a real user’s environment. The consolidation of natural language processing with current solutions also needs to be further explored for the amelioration of the conversational speeds. The recommendations for prospective advances in coming high-tech AAC are addressed in terms of developments to support mobile health communicative applications. MDPI 2019-04-22 /pmc/articles/PMC6515262/ /pubmed/31013673 http://dx.doi.org/10.3390/s19081911 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Elsahar, Yasmin Hu, Sijung Bouazza-Marouf, Kaddour Kerr, David Mansor, Annysa Augmentative and Alternative Communication (AAC) Advances: A Review of Configurations for Individuals with a Speech Disability |
title | Augmentative and Alternative Communication (AAC) Advances: A Review of Configurations for Individuals with a Speech Disability |
title_full | Augmentative and Alternative Communication (AAC) Advances: A Review of Configurations for Individuals with a Speech Disability |
title_fullStr | Augmentative and Alternative Communication (AAC) Advances: A Review of Configurations for Individuals with a Speech Disability |
title_full_unstemmed | Augmentative and Alternative Communication (AAC) Advances: A Review of Configurations for Individuals with a Speech Disability |
title_short | Augmentative and Alternative Communication (AAC) Advances: A Review of Configurations for Individuals with a Speech Disability |
title_sort | augmentative and alternative communication (aac) advances: a review of configurations for individuals with a speech disability |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6515262/ https://www.ncbi.nlm.nih.gov/pubmed/31013673 http://dx.doi.org/10.3390/s19081911 |
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