Skip to main content

Communication System Between People with Hearing Impairments and Their Patients

  • 77 Accesses

Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 405)


At the Technical University of Manabi, there is a group of students with hearing disabilities, among them are students who are studying clinical laboratory, who need to interact with patients and be able to communicate correctly at the time of carrying out their practices. The present research shows a system in which various interfaces are evaluated to achieve communication between people with hearing disabilities and their patients. To develop the system, the Extreme Programming methodology was applied, using the Android system as the base platform using the Android Studio IDE, under the Java and XML language, Text to Speech extension as support for the reproduction and conversion of text into audio, and SQLite as a data store for phrases, words, and images. The application makes it easier for hearing impaired students to instruct their patients on the clinical examination they carry out. Tests were carried out on the system by calculating the precision with different interfaces, and it was obtained that the one with the lowest margin of error is the interface where images and keywords are applied, this being the one used in the construction of the proposed system.


  • Hearing impairment
  • Android
  • Patients

This is a preview of subscription content, access via your institution.

Buying options

USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-030-96043-8_15
  • Chapter length: 13 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
USD   189.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-96043-8
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   249.99
Price excludes VAT (USA)
Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.
Fig. 8.
Fig. 9.
Fig. 10.


  1. Anjankar, S., Ambhore, K.: Speech signal processing implementation for hearing impairment based on FPGA. In: 2015 Global Conference on Communication Technologies (GCCT), pp. 164–168 (2015)

    Google Scholar 

  2. García, P., Pinargote, J., Véliz, V., De la Herrán, A., Montiano, B.: Formación y Transformación para la Educación Inclusiva En la Universidad. Editorial Universidad de Granada, Granada (2017)

    Google Scholar 

  3. Goncharenko, A., Voronova, L., Artemov, M., Voronov, V., Bezumnov, D.: Development using wireless technologies for people with hearing impairments. In: 2019 24th Conference of Open Innovations Association (FRUCT), pp. 104–109 (2019)

    Google Scholar 

  4. Padilla, A.: Disability: context, concept and models. Rev. Colomb. Derecho Int. 16, 381–414 (2010)

    Google Scholar 

  5. Hernández, M.: The concept of disability: from a disease to a rights approach. Revista CES Derecho 6(2), 46–59 (2015)

    Google Scholar 

  6. Pinargote, J., Cruz, M., Bowen, L., Demera, G.: Discapacidad y Resiliencia, in Resiliencia experiencias investigativas y prospectivas, pp. 1–204 (2018)

    Google Scholar 

  7. Saleem, K., Alagha, I.: System for people with hearing impairment to solve their social integration. In: 2015 5th International Conference on Information and Communication Technology and Accessibility (ICTA), pp. 1–6 (2016)

    Google Scholar 

  8. Ojeda, J., Piedra, J., Bernal, C., Iribarne, L.: Sign communication for people with disabilities using kinect technology at home. In: 2016 8th International Conference on Games and Virtual Worlds for Serious Applications (VS-GAMES), Barcelona, Spain, pp. 1–2 (2016)

    Google Scholar 

  9. Montes Mora, J.F., Aldana Porras, J.M., Castiblanco Franco, D.F.: Promoting the self-efficacy of deaf people through the application of translator of signifiers. In: Botto-Tobar, M., Cruz, H., Díaz Cadena, A. (eds) Artificial Intelligence, Computer and Software Engineering Advances. CIT 2020. Advances in Intelligent Systems and Computing, vol. 1327. Springer, Cham (2021).

  10. Pressman, R., Maxim, B.: Software Engineering-A Practitioner´s Approach, 8th edn. McGraw-Hill Education, New York (2015)

    Google Scholar 

  11. Sohaib, O., Solanki, H., Dhaliwa, N., Hussain, W., Asif, M.: Integrating design thinking into extreme programming. J. Ambient. Intell. Humaniz. Comput. 10(6), 2485–2492 (2018).

    CrossRef  Google Scholar 

  12. Ribas, J.: Desarrollo de aplicaciones para-Android. 2018 edn Anaya Multimedia, España (2018)

    Google Scholar 

  13. Peraza, B., Pardo, Y.: Video sensor para la detección y reconocimiento de rostros. Revista Digital Sociedad de la Información 52, 1–5 (2015)

    Google Scholar 

  14. Sun, Y., Robinson, M., Adams, R., Te Boekhorst, R., Rust, A., Davey, N.: Using sampling methods to improve binding site predictions. In: ESANN 2006 proceedings of the European Symposium on Artificial Neural Networks Bruges (Belgium), pp. 26–28 (2006)

    Google Scholar 

  15. Robinson, M., et al.: Improving computational predictions of cis regulatory binding sites. Pac. Symp. Biocomput. 11, 391–402 (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations


Corresponding author

Correspondence to Marely del Rosario Cruz-Felipe .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Verify currency and authenticity via CrossMark

Cite this paper

Cruz-Felipe, M.d.R., Pinargote-Ortega, J.M., Demera Ureta, G.P. (2022). Communication System Between People with Hearing Impairments and Their Patients. In: Botto-Tobar, M., Cruz, H., Díaz Cadena, A., Durakovic, B. (eds) Emerging Research in Intelligent Systems. CIT 2021. Lecture Notes in Networks and Systems, vol 405. Springer, Cham.

Download citation