A Wireless Augmentative and Alternative Communication System for People With Speech Disabilities

Hornero, Gemma; Conde, David Sastre; Quílez, Marcos; Domingo, Sergio; Rodriguez, Maria Pena; Romero, Borja; Casas, Óscar

doi:10.1109/access.2015.2466110

Cited by 19 publications

(25 citation statements)

References 11 publications

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“…In 44% of the studies (n = 11), the SAAC program's duration was given, and they ranged from 4 school years in a special needs school (Vega-Llobera and Fernández-Viader 2014), 9 months (Barragán-Valencia et al 2009), 7 months (Rodríguez-Fórtiz et al 2009), and 4 to 1 month (Cosía-Redondo and Imbernón-López 2017; Fortea-Sevilla et al 2015a; Gil-Villafranca 2010; Gómez-Taibo et al 2017;Hornero et al 2015;Sanz et al 2017; Vega-Guerra and Peña-Álvarez 2017), to 3 weeks (Mira-Pastor and Grau-Rubio 2017).…”

Section: Nature Of the Practicementioning

confidence: 99%

Systems of Augmentative and Alternative Communication (SAACs) in Spain: A Systematic Review of the Educational Practices Conducted in the Last Decade

2019

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Systems of Augmentative and Alternative Communication (SAACs) encompass a variety of forms of expression used to enhance the communication skills of people with disabilities and/or communication impairments. This paper compiles educational practices carried out in Spain using SAACs in the last decade. A systematic review of scientific research databases enabled a descriptive and qualitative analysis of the 25 case studies out of 88 that met the established inclusion criteria. The aim of this analysis was to obtain a global perspective of the main lines of action, as well as to identify its nature according to the beneficiary, context, aims, and typology of the SAACs implemented through the application of an evaluation grid. This evaluation grid tool arose in a broader European Project entitled AAC@ School for Social Inclusion. The results of this systematic review provide researchers and educators with evidence to apply SAACs with individuals with communication impairments, regardless of their age, gender, or the impairment or functional diversity they suffer from and could be applied in other European contexts.

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Section: Nature Of the Practicementioning

confidence: 99%

Systems of Augmentative and Alternative Communication (SAACs) in Spain: A Systematic Review of the Educational Practices Conducted in the Last Decade

2019

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“…Subjects with ALS can rely on AAC to facilitate communication [3][4][5][6][7]. Hornero et al developed a communication board to help subjects with speech disabilities [3].…”

Section: Introductionmentioning

confidence: 99%

Denoising Autoencoder-Based Feature Extraction to Robust SSVEP-Based BCIs

Chen

et al. 2021

Sensors

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For subjects with amyotrophic lateral sclerosis (ALS), the verbal and nonverbal communication is greatly impaired. Steady state visually evoked potential (SSVEP)-based brain computer interfaces (BCIs) is one of successful alternative augmentative communications to help subjects with ALS communicate with others or devices. For practical applications, the performance of SSVEP-based BCIs is severely reduced by the effects of noises. Therefore, developing robust SSVEP-based BCIs is very important to help subjects communicate with others or devices. In this study, a noise suppression-based feature extraction and deep neural network are proposed to develop a robust SSVEP-based BCI. To suppress the effects of noises, a denoising autoencoder is proposed to extract the denoising features. To obtain an acceptable recognition result for practical applications, the deep neural network is used to find the decision results of SSVEP-based BCIs. The experimental results showed that the proposed approaches can effectively suppress the effects of noises and the performance of SSVEP-based BCIs can be greatly improved. Besides, the deep neural network outperforms other approaches. Therefore, the proposed robust SSVEP-based BCI is very useful for practical applications.

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“…To help patients communicate with others or devices, augmentative and alternative communication (AAC) systems have been developed. (2)(3)(4)(5) Unfortunately, these AAC systems, which need to use the voice, mouth movement, and tongue, or require the voluntary control of the user's limbs, are unsuitable communication mechanisms for patients with severe disabilities. Recently, brain-computer interfaces (BCIs) have been successfully applied to implement AAC systems by electroencephalography (EEG) analysis.…”

Section: Introductionmentioning

confidence: 99%

Modular-neural-network-based Decision Fusion for Steady-state Visually Evoked Potential-based Brain–Computer Interfaces

Chen¹,

Chen²,

Wu³

2020

Sensors and Materials

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It is very difficult for a patient with severe disabilities to communicate with others or devices, greatly reducing the quality of their lives. In this study, a steady-state visually evoked potential (SSVEP)-based brain-computer interface (BCI) is proposed to make it easy for patients with severe disabilities to communicate. To precisely represent the characteristic of an elicited SSVEP, the four features extracted by fast Fourier transform, canonical correlation analysis, magnitude-squared coherence, and power cepstrum analysis are used. To fuse the decision results obtained by using the different features, a modular neural network (MNN), which includes input models and a decision model, is adopted to improve the recognition performance. To balance the recognition performance and computational complexity, an artificial neural network based on multilayer perceptrons is selected as the basic unit of the MNN. On the basis of the different features, the input model of the MNN can quickly find the decision results. To effectively fuse the decision results, the decision model of the MNN is adopted to obtain a precise decision. The experimental results demonstrated that the MNN has a higher accuracy than other approaches. Therefore, the proposed SSVEP-based BCI with the MNN can effectively help patients interact with their surroundings.

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A Wireless Augmentative and Alternative Communication System for People With Speech Disabilities

Cited by 19 publications

References 11 publications

Systems of Augmentative and Alternative Communication (SAACs) in Spain: A Systematic Review of the Educational Practices Conducted in the Last Decade

Systems of Augmentative and Alternative Communication (SAACs) in Spain: A Systematic Review of the Educational Practices Conducted in the Last Decade

Denoising Autoencoder-Based Feature Extraction to Robust SSVEP-Based BCIs

Modular-neural-network-based Decision Fusion for Steady-state Visually Evoked Potential-based Brain–Computer Interfaces

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