A concept-environment for computer-based augmentative and alternative communication founded on a systematic review
Loja, Luiz Fernando Batista; Gomide, Renato de Sousa; Mendes, Fabiana Freitas; Teixeira, Ricardo Antonio Gonçalves; Lemos, Rodrigo Pinto; Flôres, Edna Lúcia
http://dx.doi.org/10.1590/2446-4740.0601
Res. Biomed. Eng., vol.31, n3, p.257-272, 2015
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Abstract
Introduction: Locked-In Syndrome is admittedly the worst case of motor and speech impairment, it seriously damages the ability of oral and gestural communication of patients. In recent years, alternative and augmentative communication technology has provided resources to restore these patients' ability to communicate. Methods: In order to relate and classify the main methods with that purpose, this work conducted a systematic review on several journal databases. Results: We found 203 related papers and 55 of them were selected to compose the study. After that, we classified them into three major groups and we identified the main difficulties when using each approach. Conclusion: In order to overcome these difficulties, we propose a new system concept to develop an adaptive, robust and low cost communication environment. The proposed system is composed of five modules: data entry, communication, aid to the caregiver and external interaction.
Keywords
Computer, Augmentative and alternative communication, Systematic review, Locked-in syndrome, Assistive technology.
References
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Brasil. Decreto Nº 5.296, de 2 de dezembro de 2004. Regulamenta as Leis nos 10.048, de 8 de novembro de 2000, que dá prioridade de atendimento às pessoas que especifica, e 10.098, de 19 de dezembro de 2000, que estabelece normas gerais e critérios básicos para a promoção da acessibilidade das pessoas portadoras de deficiência ou com mobilidade reduzida, e dá outras providências. Diário Oficial da República Federativa do Brasil [internet], Brasília, dec. 2004 [cited 2013 Dec 9]. Available from: http://www.planalto.gov.br/ccivil_03/_ato2004-2006/2004/decreto/d5296.htm
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Caltenco HA, Breidegard B, Jönsson B, Andreasen Struijk LNS. Understanding computer users with tetraplegia: Survey of assistive technology users. International Journal of Human-Computer Interaction. 2012; 28(4):258-68. http://dx.doi.org/10.1080/10447318.2011.586305.
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Cardwell MS. Locked-in syndrome. Texas Medicine. 2013; 109(2):e1. PMid:23378122.
Chin S, Lee C, Lee J. Facial expression image mapping for brain-computer interface using El type classification. In: Proceedings of the 3rd International Conference on Information Sciences and Interaction Sciences; 2010. 2010. p. 465-9.
Chun RYS. Comunicação suplementar e/ou alternativa: abrangência e peculiaridades dos termos e conceitos em uso no Brasil. Pró-Fono Revista de Atualização Científica. 2009; 1:69-74.
Cipresso P, Meriggi P, Carelli L, Solca F, Meazzi D, Poletti B, Lule D, Ludolph AC, Riva G, Silani V. The combined use of brain computer interface and eye-tracking technology for cognitive assessment in amyotrophic lateral sclerosis. In: Proceedings of the 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops; 2011. 2011. p. 320-4.
Deepa VB, Thangaraj P, Chitra S. Investigating principal component analysis for classification of EEG data. In: ICNIT 2010: Proceedings of the Networking and Information Technology. 2010. p. 461-4.
Doval FMG, Carballo JMP, Vez Jeremías JM. TICTAC: Information and communication technologies for augmentative communication boards. In: Proceedings of the 2010 IEEE Education Engineering Conference. 2010. p. 1783-7.
Eggers J, Feillet D, Kehl S, Wagner MO, Yannou B. Optimization of the keyboard arrangement problem using an ant colony algorithm. European Journal of Operational Research. 2003; 148(3):672-86. http://dx.doi.org/10.1016/S0377-2217(02)00489-7.
Finke EH, Light J, Kitko L. A systematic review of the effectiveness of nurse communication with patients with complex communication needs with a focus on the use of augmentative and alternative communication. Journal of Clinical Nursing. 2008; 17(16):2102-15. http://dx.doi.org/10.1111/j.1365-2702.2008.02373.x. PMid:18705734.
Friginal E, Pearson P, Di Ferrante L, Pickering L, Bruce C. Linguistic characteristics of AAC discourse in the workplace. Discourse Studies. 2013; 15(3):279-98. http://dx.doi.org/10.1177/1461445613480586.
Fu YF, Ho CS. A fast text-based communication system for handicapped aphasiacs. In: Proceedings of the 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing. 2009; 2009. p. 583-94.
García JCD, Galvão TA Fo. Pesquisa nacional de tecnologia assistiva. São Paulo: ITS BRASIL/MCTI-SECIS; 2012.
Ghosh S, Sarcar S, Samantha D. Designing an efficient virtual keyboard for text composition in bengali. New York: ACM; 2011. p. 84-7.
Hanson EK, Beukelman DR, Heidemann JK, Shutts-Johnson E. The impact of alphabet supplementation and word prediction on sentence intelligiblity of electronically distorted speech. Speech Communication. 2010; 52(2):99-105. http://dx.doi.org/10.1016/j.specom.2009.08.004.
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