Advertisement

CASVI: A Computer Algebra System Aimed at Visually Impaired People

  • Paúl Mejía
  • Luiz César Martini
  • Julio Larco
  • Felipe Grijalva
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10896)

Abstract

The biggest barrier for visually impaired people to pursue a bachelor of science degree is not the blindness itself but the access to mathematical resources. Resources such as Computer Algebra Systems (CAS) are not accessible, which means that even the execution of elementary math becomes a challenging task. In this paper, we present Casvi, a CAS for visually impaired people, which allows to perform symbolic and numeric computation using the Maxima’s math engine. Casvi offers modules for algebra, linear algebra, differential calculus, integral calculus among others. Moreover, it provides an intuitive user interface based on synthetic speech and non-speech sounds.

Keywords

Accessibility Visually impaired Engineering education 

References

  1. 1.
    Civic Enterprises, the Everyone Graduates Center: Building a grad nation. Technical report (2015)Google Scholar
  2. 2.
    Archambault, D.: Non visual access to mathematical contents: state of the art and prospective. In: Proceedings of the WEIMS Conference, pp. 43–52 (2009)Google Scholar
  3. 3.
    Ferreira, H., Freitas, D.: Enhancing the accessibility of mathematics for blind people: the AudioMath project. In: Miesenberger, K., Klaus, J., Zagler, W.L., Burger, D. (eds.) ICCHP 2004. LNCS, vol. 3118, pp. 678–685. Springer, Heidelberg (2004).  https://doi.org/10.1007/978-3-540-27817-7_101CrossRefGoogle Scholar
  4. 4.
    Karshmer, A., Gupta, G., Pontelli, E.: Mathematics and accessibility: a survey. In: International Conference on Computers Helping People with Special Needs, pp. 664–669 (2007)Google Scholar
  5. 5.
    Raman, T., Gries, D.: Audio formatting - making spoken text and math comprehensible. Int. J. Speech Technol. 1(1), 21–31 (1995)CrossRefGoogle Scholar
  6. 6.
    Suzuki, M., Tamari, F., Fukuda, R., Uchida, S., Kanahori, T.: INFTY: an integrated OCR system for mathematical documents. In: Proceedings of the 2003 ACM Symposium on Document Engineering, pp. 95–104. ACM (2003)Google Scholar
  7. 7.
    Barbieri, T., Mosca, L., Sbattella, L.: Learning math for visually impaired users. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds.) ICCHP 2008. LNCS, vol. 5105, pp. 907–914. Springer, Heidelberg (2008).  https://doi.org/10.1007/978-3-540-70540-6_136CrossRefGoogle Scholar
  8. 8.
    Gopal, D., Wang, Q., Gupta, G., Chitnis, S., Guo, H., Karshmer, A.: Winsight: towards completely automatic backtranslation of Nemeth code. In: Stephanidis, C. (ed.) UAHCI 2007. LNCS, vol. 4556, pp. 309–318. Springer, Heidelberg (2007).  https://doi.org/10.1007/978-3-540-73283-9_35CrossRefGoogle Scholar
  9. 9.
    Schweikhardt, W., Bernareggi, C., Jessel, N., Encelle, B., Gut, M.: LAMBDA: a european system to access mathematics with braille and audio synthesis. In: Miesenberger, K., Klaus, J., Zagler, W.L., Karshmer, A.I. (eds.) ICCHP 2006. LNCS, vol. 4061, pp. 1223–1230. Springer, Heidelberg (2006).  https://doi.org/10.1007/11788713_176CrossRefGoogle Scholar
  10. 10.
    Suzuki, M., Kanahori, T., Ohtake, N., Yamaguchi, K.: An integrated OCR software for mathematical documents and its output with accessibility. In: Miesenberger, K., Klaus, J., Zagler, W.L., Burger, D. (eds.) ICCHP 2004. LNCS, vol. 3118, pp. 648–655. Springer, Heidelberg (2004).  https://doi.org/10.1007/978-3-540-27817-7_97CrossRefGoogle Scholar
  11. 11.
    Sanmiguel, J.M.P., Martini, L.C.: Mathematics software programming resources aimed at visually impaired users - Matvox. In: Advances in Information Technology and Applied Computing, ICISCA, Indonesia, pp. 310–314 (2012)Google Scholar
  12. 12.
    Campoverde, P.H.M., Martini, L.C.: Application of mathematical finance program designed for visually impaired users. In: Advances in Information Technology and Applied Computing, ICISCA, Indonesia, pp. 315–320 (2012)Google Scholar
  13. 13.
    Fitzpatrick, D.: Mathematics: how and what to speak. In: Miesenberger, K., Klaus, J., Zagler, W.L., Karshmer, A.I. (eds.) ICCHP 2006. LNCS, vol. 4061, pp. 1199–1206. Springer, Heidelberg (2006).  https://doi.org/10.1007/11788713_173CrossRefGoogle Scholar
  14. 14.
    Bates, E., Fitzpatrick, D.: Spoken mathematics using prosody, earcons and spearcons. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds.) ICCHP 2010. LNCS, vol. 6180, pp. 407–414. Springer, Heidelberg (2010).  https://doi.org/10.1007/978-3-642-14100-3_61CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Paúl Mejía
    • 1
    • 2
  • Luiz César Martini
    • 2
  • Julio Larco
    • 1
    • 2
  • Felipe Grijalva
    • 3
  1. 1.Departamento de Eléctrica y ElectrónicaUniversidad de las Fuerzas Armadas ESPESangolquíEcuador
  2. 2.School of Electrical and Computing EngineeringUniversity of CampinasCampinasBrazil
  3. 3.Departamento de Electrónica, Telecomunicaciones y Redes de InformaciónEscuela Politécnica NacionalQuitoEcuador

Personalised recommendations