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Augmentative and Alternative Communication (AAC) Advances: A Review of Configurations for Individuals with a Speech Disability

Sensors (Basel, Switzerland), 2019-04, Vol.19 (8), p.1911 [Peer Reviewed Journal]

2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s19081911 ;PMID: 31013673

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  • Title:
    Augmentative and Alternative Communication (AAC) Advances: A Review of Configurations for Individuals with a Speech Disability
  • Author: Elsahar, Yasmin ; Hu, Sijung ; Bouazza-Marouf, Kaddour ; Kerr, David ; Mansor, Annysa
  • Subjects: assistive technologies ; augmentative and alternative communication ; machine learning ; mobile health ; Review ; sensing modalities ; signal processing ; speech disability ; voice communication
  • Is Part Of: Sensors (Basel, Switzerland), 2019-04, Vol.19 (8), p.1911
  • 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.
  • Publisher: Switzerland: MDPI
  • Language: English
  • Identifier: ISSN: 1424-8220
    EISSN: 1424-8220
    DOI: 10.3390/s19081911
    PMID: 31013673
  • Source: GFMER Free Medical Journals
    PubMed Central
    ROAD: Directory of Open Access Scholarly Resources
    ProQuest Central
    DOAJ Directory of Open Access Journals
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