An Embedded Prototype System for People with Disabilities Using Google’s Speech

  • Maritza Aguirre-MunizagaEmail author
  • Vanessa Vergara-Lozano
  • Carlota Delgado
  • Joel Ramirez-Yela
  • Néstor Vera Lucio
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 111)


This project allows to simulate how an intelligent system at home performs to achieve greater autonomy in people with physical disabilities; it is shown through this research a solution to increase the autonomy of people with physical disabilities or the elderly who live alone, so they are expected to improve their quality of life. In this article, experiencing the use of Google speech for the introduction to natural language allows analyzing the advantages that the implementation of an embedded system provides to people with paraplegia, exposing relevant data about the ease of Implementation of natural language structures.


Speech recognition Internet of things Paraplegia 



Special thanks are given to the SERLI (Ecuadorian Society Pro-Rehabilitation of Crippled) which has allowed authors to conduct tests at its facilities.


  1. 1.
    Gomes Sakamoto, S., de Miranda, L.C., Hornung, H.: Home control via mobile devices: state of the art and HCI challenges under the perspective of diversity, pp. 501–512 (2014)Google Scholar
  2. 2.
    Baker, J.S., Grace, F., Kilgore, L., Smith, D.J., Norris, S.R., Gardner, A.W., Ringseis, R., Eder, K., Shephard, R.J., Kokkinos, P., Lee, R.E., Ho, A., Markovic, G., MacIntosh, B.R., Nollet, F., Barakat, R., Silva, M.N., Teixeira, P.J., Hassmén, P., Haverkamp, H.C., Haverkamp, H.C.: Paraplegia. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  3. 3.
    Noguera-arnaldos, J.Á., Rodriguez-garcía, M.Á.: On the move to meaningful internet systems: OTM 2015 workshops. Springer, Cham (2015)Google Scholar
  4. 4.
    Consejo Nacional para la Igualdad de Discapacidades / Dirección de Gestión Técnica, Fuente: Ministerio de Salud Pública de Ecuador: Estadísticas | CONADIS.
  5. 5.
    Marwedel, P.: Implementing embedded systems: hardware/software codesign. In: Embedded System Design, pp. 151–197. Springer, Boston (2006)Google Scholar
  6. 6.
    Twiefel, J., Baumann, T., Heinrich, S., Wermter, S.: Improving domain-independent cloud-based speech recognition with domain-dependent phonetic post-processing. AAAI (2014, in press)Google Scholar
  7. 7.
    Këpuska, V.: Comparing speech recognition systems (Microsoft API, Google API and CMU Sphinx). Int. J. Eng. Res. Appl. 07, 20–24 (2017)Google Scholar
  8. 8.
    Baladrón, C., Aguiar, J.M., Gobernado, J., Carro, B., Sánchez, A.: User-driven context aware creation and execution of home care applications. Ann. des Telecommun. Telecommun. 65, 545–556 (2010)CrossRefGoogle Scholar
  9. 9.
    Javale, D., Mohsin, M., Nandanwar, S., Shingate, M.: Home automation and security system using android ADK. Int. J. Electron. Commun. Comput. Technol. 3, 382–385 (2013)Google Scholar
  10. 10.
    Bonaccorsi, M., Fiorini, L., Cavallo, F., Saffiotti, A., Dario, P.: A cloud robotics solution to improve social assistive robots for active and healthy aging. Int. J. Soc. Robot. 8, 393–408 (2016)CrossRefGoogle Scholar
  11. 11.
    Rathnayaka, A.J.D., Potdar, V.M., Kuruppu, S.J.: Evaluation of wireless home automation technologies. IEEE Int. Conf. Digit. Ecosyst. Technol. 5, 76–81 (2011)Google Scholar
  12. 12.
    Lancheros-Cuesta, D.J., Marin, M.P., Vela Saenz, Y.: Intelligent system (HCI) for people with motor misabilities (2015)Google Scholar
  13. 13.
    Mulfari, D., Celesti, A., Fazio, M., Villari, M., Puliafito, A.: Using embedded systems to spread assistive technology on multiple devices in smart environments. In: Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2014, pp. 5–11. IEEE (2014)Google Scholar
  14. 14.
    Google: Cloud Speech-to-Text - Speech Recognition | Google Cloud.
  15. 15.
    Bajer, L., Krejcar, O.: Design and realization of low cost control for greenhouse environment with remote control. IFAC-PapersOnLine 28, 368–373 (2015)CrossRefGoogle Scholar
  16. 16.
    Soriano, A., Marín, L., Vallés, M., Valera, A., Albertos, P.: Low cost platform for automatic control education based on open hardware. In: IFAC Proceedings, vol. 47, pp. 9044–9050 (2014)CrossRefGoogle Scholar
  17. 17.
    Aguirre-Munizaga, M., Vergara-Lozano, V., Delgado-Vera, C., Hidalgo, J., González-Villalta, R.: A development model of an embedded system for improving the mobility of people with physical disabilities (2017)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of Computer Engineering, Faculty of Agricultural ScienceUniversidad Agraria del EcuadorGuayaquilEcuador

Personalised recommendations