Advertisement

Review on Smart Solutions for People with Visual Impairment

  • Mostafa Elgendy
  • Cecilia Sik Lanyi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10896)

Abstract

Nowadays, over a billion people are estimated to be living with disabilities. The lack of support services make them overly dependent on their families and prevent them from being socially included. A good solution is to use Mobile Assistive Technologies (MAT) to perform tasks in everyday lives, but one of the most important and challenging tasks is to create a solution which offers the assistance and support they need to achieve a good quality of life and allows them to participate in social life. This paper reviews researches within the field of MATs to help people with visual impairment in their daily activities like navigation and shopping.

Keywords

Smartphones Assistive technology People with visual impairment Navigation Shopping 

Notes

Acknowledgement

The authors acknowledge the financial support of Széchenyi 2020 under the EFOP-3.6.1-16-2016-00015.

References

  1. 1.
    Domingo, Mari Carmen: An overview of the Internet of Things for people with disabilities. J. Netw. Comput. Appl. 35(2), 584–596 (2012)CrossRefGoogle Scholar
  2. 2.
    Wachaja, A., et al.: Navigating blind people with walking impairments using a smart walker. Auton. Robots 41(3), 555–573 (2017)CrossRefGoogle Scholar
  3. 3.
    Tsirmpas, C., et al.: An indoor navigation system for visually impaired and elderly people based on Radio Frequency Identification (RFID). Inf. Sci. 320, 288–305 (2015)CrossRefGoogle Scholar
  4. 4.
    Flores, G.H., Manduchi, R., Zenteno, E.D.: Ariadne’s thread: robust turn detection for path back-tracing using the iPhone. In: Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS), 2014. IEEE (2014)Google Scholar
  5. 5.
    Kammoun, S., et al.: Navigation and space perception assistance for the visually impaired: the NAVIG project. IRBM 33(2), 182–189 (2012)CrossRefGoogle Scholar
  6. 6.
    Panëels, S.A., et al.: The walking straight mobile application: helping the visually impaired avoid veering. Georgia Institute of Technology (2013)‏Google Scholar
  7. 7.
    Zientara, P.A., et al.: Third Eye: a shopping assistant for the visually impaired. Computer 50(2), 16–24 (2017)CrossRefGoogle Scholar
  8. 8.
    Kesh, S.: Shopping by blind people: detection of interactions in ambient assisted living environments using RFID. Int. J. 6(2) (2017).‏Google Scholar
  9. 9.
    López-de-Ipiña, D., Lorido, T., López, U.: Indoor navigation and product recognition for blind people assisted shopping. In: Bravo, J., Hervás, R., Villarreal, V. (eds.) IWAAL 2011. LNCS, vol. 6693, pp. 33–40. Springer, Heidelberg (2011).  https://doi.org/10.1007/978-3-642-21303-8_5CrossRefGoogle Scholar
  10. 10.
    Yuan, C.W., et al.: Constructing a holistic view of shopping with people with visual impairment: a participatory design approach. Univ. Access Inf. Soc. 1–14 (2017)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.University of PannoniaVeszpremHungary

Personalised recommendations