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LeSigLa_EC: Learning Sign Language of Ecuador

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Emerging Technologies for Education (SETE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10676))

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Abstract

The Technology in Information and Communication have allowed the exploration of new techniques in teaching, the development of computerized tools that improve the user learning experiences. Hearing-impaired people communicate using sign language, this tool represents the letters of the alphabet in a gestural way, which is the basis of their communication. In Ecuador, there is a deficit of teachers in schools for deaf people; for this reason, we propose a computer program to teach ecuadorian sign language using a gesture sensor as an input device and output on a monitor, allowing students to improve their learning experience.

The original version of this chapter was revised: The erratum to this chapter is available at https://doi.org/10.1007/978-3-319-71084-6_66

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References

  1. Ludvigsen, S., Arnseth, H.C.: Computer-supported collaborative learning. In: Duval, E., Sharples, M., Sutherland, R. (eds.) Technology Enhanced Learning, pp. 47–58. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-02600-8_5

    Chapter  Google Scholar 

  2. Fischer, F., Kollar, I., Stegmann, K., Wecker, C.: Toward a script theory of guidance in computer-supported collaborative learning. Educ. Psychol. 48(1), 56–66 (2013)

    Article  Google Scholar 

  3. Cervantes, J., García Lamont, F., Santiago, J., Espejel Cabrera, J., Espinosa, A.T.: Clasificación del lenguaje de señas mexicano con SVM generando datos artificiales. Revista Vínculos 10(1), 328–341 (2013)

    Google Scholar 

  4. Chai, X., et al.: Sign language recognition and translation with kinect. Presented at the IEEE Conference on AFGR (2013)

    Google Scholar 

  5. Kishore, P., Prasad, M., Prasad, C.R., Rahul, R.: 4-Camera model for sign language recognition using elliptical fourier descriptors and ANN. Presented at the 2015 International Conference on Signal Processing and Communication Engineering Systems (SPACES), pp. 34–38 (2015)

    Google Scholar 

  6. INEC - Instituto Nacional de Estadística y Censos: Información Censal

    Google Scholar 

  7. Chacón, E., Aguilar, D., Sáenz, F.: Desarrollo de una Interfaz para el Reconocimiento Automático del Lenguaje de Signos. MASKAY Electrónica 4(1), 14 (2014)

    Article  Google Scholar 

  8. Elons, A., Ahmed, M., Shedid, H., Tolba, M.: Arabic sign language recognition using leap motion sensor. Presented at the 2014 9th International Conference on Computer Engineering & Systems (ICCES), pp. 368–373 (2014)

    Google Scholar 

  9. Palomar, O.: Leap Motion, un ‘superkinect’ disponible en mayo, 20 April 2013

    Google Scholar 

  10. Bejerano, P.G.: 4 ejemplos de interfaz gestual, 09 November 2013

    Google Scholar 

  11. Sosapanta, V., Esteban, P.: Desarrollo e implementación de un sistema de apoyo académico usando instrucciones gestuales para niños mediante el uso del dispositivo Leap Motion Controller (2017)

    Google Scholar 

  12. Justinico, O., Cárdenas, P.F., Rodríguez, J.S.: Control gestual de robot de 4 GDL con sensor Leap Motion. Memorias (2015)

    Google Scholar 

  13. Vila, A., Sedano, M., López, A., Juan, A.: Correlación lineal y análisis de regresión. Universitat Oberta Catalunya, Barcelona (2004)

    Google Scholar 

  14. Alezones-Campos, Z., Baquero-Romero, Y., Borrero-Guerrero, H., Becker, M.: Recognising isolated words for mobile robot navigation control. ORINOQUIA 16(1), 121–134 (2012)

    Article  Google Scholar 

  15. Brooke, J.: SUS-A quick and dirty usability scale. Usability Eval. Ind. 189(194), 4–7 (1996)

    Google Scholar 

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Acknowledgment

The authors thank the ESPE for the support to the execution of the project 2016-PIC-045, “Sistema de soporte a la enseñanza y comprensión de lenguaje de señas básico, aplicando técnicas de clasificación de datos para la interpretación gestual”.

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Correspondence to D. Rivas .

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Rivas, D. et al. (2017). LeSigLa_EC: Learning Sign Language of Ecuador. In: Huang, TC., Lau, R., Huang, YM., Spaniol, M., Yuen, CH. (eds) Emerging Technologies for Education. SETE 2017. Lecture Notes in Computer Science(), vol 10676. Springer, Cham. https://doi.org/10.1007/978-3-319-71084-6_19

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  • DOI: https://doi.org/10.1007/978-3-319-71084-6_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71083-9

  • Online ISBN: 978-3-319-71084-6

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