Voice Assisted Embedded Navigation System for the Visually Impaired

For visually impaired people, a cane is a close companion helping them to detect and avoid obstacles while walking. But while walking in a new or changed environment, it is hard for them to guess where they are. Also it will be a problem when they lose memory of locations and places. The standard method for taking notes by visually impaired is to emboss Braille dots on a paper, which can be read by feeling the dots by fingers [16]. It is difficult to imprint, copy, transfer or edit these writings. With the advancement in modern day electronic sensors, touch sensing and microcontroller technology, the proposed system aids the visually impaired in navigation via audible messages and haptic feedback, helping them localize where they are and to improve their mobility. This system supports the visually impaired to enter notes and control device operation via touch keypad. The device also provides user information in audio format, including navigation direction, ambient light and temperature condition. The aim of this project is to help visually impaired to improve their communication and provides independency during walking in even unknown areas.

[1]  S. Sai Santhosh,et al.  BLI - NAV embedded navigation system for blind people , 2010, Recent Advances in Space Technology Services and Climate Change 2010 (RSTS & CC-2010).

[2]  Salim Ullah,et al.  RFAIDE — An RFID based navigation and object recognition assistant for visually impaired people , 2011, 2011 7th International Conference on Emerging Technologies.

[3]  A. Duran,et al.  Electronic long cane for locomotion improving on visual impaired people. A case study , 2011, 2011 Pan American Health Care Exchanges.

[4]  H. Fernandes,et al.  Stereo vision in blind navigation assistance , 2010, 2010 World Automation Congress.

[5]  Michael Lawo,et al.  Wearable Navigation System for the Visually Impaired and Blind People , 2012, 2012 IEEE/ACIS 11th International Conference on Computer and Information Science.

[6]  Mihai-Emanuel Basch,et al.  A bio-inspired obstacle avoidance system concept for visually impaired people , 2011 .

[7]  Jane Yung-jen Hsu,et al.  iCane - A Partner for the Visually Impaired , 2005, EUC Workshops.

[8]  Jae-Han Park,et al.  An intelligent navigation method for service robots in the smart environment , 2007 .

[9]  R. Schmidt.  Fundamentals of Sensory Physiology , 1986, Springer Study Edition.

[10]  Thomas Ertl,et al.  Interactive tracking of movable objects for the blind on the basis of environment models and perception-oriented object recognition methods , 2006, Assets '06.

[11]  Katherine J. Kuchenbecker,et al.  HALO: Haptic Alerts for Low-hanging Obstacles in white cane navigation , 2012, 2012 IEEE Haptics Symposium (HAPTICS).

[12]  Daniel Thalmann,et al.  A wearable system for mobility improvement of visually impaired people , 2007, The Visual Computer.

[13]  Ariffin Abdul Mutalib,et al.  Smart Cane: Assistive Cane for Visually-impaired People , 2011, ArXiv.

[14]  M. A. Espinosa,et al.  Comparing Methods for Introducing Blind and Visually Impaired People to Unfamiliar Urban Environments , 1998 .

[15]  Marta Dischinger.  Design for all Senses. Accessible Spaces for Visually Impaired Citizens , 2000 .

[16]  A Bio-inspired Collision Avoidance System Concept for People with Visual Disabilities , .

[17]  Mathieu Raynal,et al.  Navigation and space perception assistance for the visually impaired: The NAVIG project Assistance à la navigation et à la perception de l'espace pour les déficients visuels : le projet NAVIG , 2012 .