Publication Type:

Journal Article


International Journal of Applied Engineering Research, Volume 10, Issue 12, p.32711–32721 (2015)



Bottom up, Feature extraction, Fuzzy Inference system, kNN algorithm, Minkowski‟s metric., Saliency map, Top Down, Visual Attention


Assistive technologies are meant to improve the quality of the life of visually impaired population. However due to factors like income level/economic status of the visually impaired, hand held devices that are not ease of use, ignorance of the existing assistive technologies makes less reachability of these assistive systems for the needy. This paper proposes a system which has been developed to be an economic, simple, Voice Enabled Assistive System (VEAS) for visually impaired to identify and locate the objects in his/her nearby environment. VEAS uses attention theories to easily locate the objects from its background with less computational time. The user interface has been made flexible, by making the human interface system quite comfortable to an ignorant user and assisted with a speech processor for guiding them.

Cite this Research Publication

D. Radha and Amudha, J., “Design of an Economic Voice Enabled Assistive System for the Visually Impaired”, International Journal of Applied Engineering Research, vol. 10, no. 12, pp. 32711–32721, 2015.