IDEAS home Printed from https://ideas.repec.org/a/taf/tcybxx/v1y2015i2-4p132-159.html
   My bibliography  Save this article

Towards building an automated system for describing indoor floor maps for individuals with visual impairment

Author

Listed:
  • Devi Archana Paladugu
  • Qiongjie Tian
  • Hima Bindu Maguluri
  • Baoxin Li

Abstract

The ability to navigate is an integral part of everyday life, which is one of the major challenges faced by individuals with visual impairment. While navigating indoors is relatively safer, it is a stressful exercise if the building is unfamiliar, especially since typical means like canes, seeing-dogs and GPS devices do not really help. This article presents an automated approach that aids a visually impaired individual in obtaining information from a floor map, prior to visiting large buildings like a library. The key is to automatically produce verbal descriptions from a floor map and use that to help the person to form a cognitive map of the building to be visited. The proposed method is fully automated, which only requires the user to input the name of the building/establishment. The system then searches the Web for a floor map. If a map is found, the map is downloaded and used by the system to generate a verbal description giving an overview of the layout of the building, including entrances/exits and other important landmarks inside the building. A prototype system was built and evaluated with a group of 18 visually impaired people. Feedback obtained from the visually impaired participants in our experiments suggests that the proposed approach is an effective aid in helping the users forming an approximate cognitive map of the location before visiting the location.

Suggested Citation

  • Devi Archana Paladugu & Qiongjie Tian & Hima Bindu Maguluri & Baoxin Li, 2015. "Towards building an automated system for describing indoor floor maps for individuals with visual impairment," Cyber-Physical Systems, Taylor & Francis Journals, vol. 1(2-4), pages 132-159, October.
  • Handle: RePEc:taf:tcybxx:v:1:y:2015:i:2-4:p:132-159
    DOI: 10.1080/23335777.2016.1141801
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23335777.2016.1141801
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/23335777.2016.1141801?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tcybxx:v:1:y:2015:i:2-4:p:132-159. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tcyb .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.