Integration of Brain-Computer Interfaces with Alternative Augmentative Communication Systems

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Computer Science – CACIC 2023 (CACIC 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2123))

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Abstract

There are multiple systems and tools that enhance the communicative interactions, called Alternative and Augmentative Communication Systems (AACS). They are designed for people with severe speech or language difficulties. People who cannot communicate with others or that have great difficulty in doing so are usually dependent beings and suffer from social isolation. In critical situations, where no voluntary movements are available, Brain-Computer Interfaces (BCI) start to take part. BCI’s are devices that allow a person to interact with a computer using only their neuronal activity. BCI’s have been studied for more than 30 years, but their high error rate and the complexity of the systems have always been challenges when implementing functional real-life solutions. The current work includes a review of the BCI Emotiv Epoc, a wireless, low-end, EGC device that tries to bring medical-lab technology to the users’ home, as well as the development of a custom application to connect it to two well-known AACS: Plaphons and ACAT.

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References

  1. Escandell Vidal, M.V.: La comunicación. Lengua, cognición y sociedad. Madrid: Akal, pp. 144–145. ISBN: 978–84–460–3958–7. Editorial: AKAL (2014)

    Google Scholar 

  2. Díaz, J., Fava, L., Harari, I., Martinez, F., Tellechea, M.: An integration of brain-computer interfaces with an alternative augmentative communication system In: XXIX Congreso Argentino de Ciencias de la Computación - CACIC 2023 (2023). ISBN 978–987–9285–51–0

    Google Scholar 

  3. Tamarit Cuadrado, J.: Sistemas de comunicación, 17–42. Madrid, España. ISBN 84–87699–67–7 (2003)

    Google Scholar 

  4. Fernandez-Pacheco, L., Peña Ruiz, B. and Tercero Cotillas, M.:​ Sistemas aumentativos y alternativos de comunicación. ISBN: 978–84–9077–348–2 Madrid: Editorial Síntesis (2016)

    Google Scholar 

  5. Fábrega López, Cristina: PLAPHOONS Plaphoons como facilitador TIC de la comunicación. . https://digibug.ugr.es/handle/10481/36360 (2014)

  6. ACAT Homepage. https://www.intel.com/content/www/us/en/developer/tools/open/acat/overview.html. Accessed 30 Jan 2023

  7. Nicolas-Alonso, L.F., Gomez-Gil, J.: Brain computer interfaces: a review. Sensors 12, 1211–1279 (2012). https://doi.org/10.3390/s120201211

    Article  Google Scholar 

  8. Zion-Golumbic, E.: ​What is EEG?, Hebrew University of Jerusalén. https://www.mada.org.il/brain/articles/faces-e.pdf (2019)

  9. Clerc, M., Bougrain, L. and Lotte, F.:​ Brain-Computer Interfaces 2, Technology and Applications. ISBN: 9781848219632, iSTE & WILEY (2016)

    Google Scholar 

  10. Palva, S., Palva, J.M.: New vistas for a-frequency band oscillations. Trends Neurosci. 30(4), 150–158 (2007). https://doi.org/10.1016/j.tins.2007.02.001.PMID17307258.S2CID9156592

    Article  Google Scholar 

  11. Rashid, M., Sulaiman, N., Majeed, A., Musa, R., Nasir, A., Khatun, S.: Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review. Front. Neurorobot. (2020). https://doi.org/10.3389/fnbot.2020.00025

    Article  Google Scholar 

  12. Browarska, N., Kawala-Sterniuk, A., Zygarlicki, J.: Comparison of smoothing filters’ influence on quality of data recorded with the Emotiv Epoc flex brain–computer interface headset during audio stimulation. Brain Sciences (2021). https://www.mdpi.com/2076-3425/11/1/98

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Correspondence to Laura A. Fava .

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Díaz, J.F., Fava, L.A., Harari, I., Martínez, F., Tellechea, M. (2024). Integration of Brain-Computer Interfaces with Alternative Augmentative Communication Systems. In: Pesado, P., Panessi, W., Fernández, J.M. (eds) Computer Science – CACIC 2023. CACIC 2023. Communications in Computer and Information Science, vol 2123. Springer, Cham. https://doi.org/10.1007/978-3-031-62245-8_18

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  • DOI: https://doi.org/10.1007/978-3-031-62245-8_18

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