An approach for microscopic path finding and obstacle avoidance for blind and visually impaired people

Author(s):  
Rosen Ivanov
2021 ◽  
Author(s):  
A. Punith ◽  
G. Manish ◽  
M. Sai Sumanth ◽  
A. Vinay ◽  
R. Karthik ◽  
...  

2013 ◽  
Vol 2 (4) ◽  
pp. 270 ◽  
Author(s):  
Rana Mohammad Yousef ◽  
Omar Adwan ◽  
Murad Abu-Leil

This paper presents the development of a new mobile phone dialler application which is designed to help blind and visually impaired people make phone calls. The new mobile phone dialler application is developed as a windows phone application to facilitate entering information to touch screen mobile phones by blind people. This application is advantageous through its innovative concept, its simplicity and its availability at an affordable cost. Feedback from users showed that this new application is easy to use and solves many problems of voice recognition applications such as inaccuracy, slowness and interpretation of unusual voices. In addition, this application has increased the users ability to dial phone numbers more independently and less stressfully.


2015 ◽  
Vol 5 (3) ◽  
pp. 801-804
Author(s):  
M. Abdul-Niby ◽  
M. Alameen ◽  
O. Irscheid ◽  
M. Baidoun ◽  
H. Mourtada

In this paper, we present a low cost hands-free detection and avoidance system designed to provide mobility assistance for visually impaired people. An ultrasonic sensor is attached to the jacket of the user and detects the obstacles in front. The information obtained is transferred to the user through audio messages and also by a vibration. The range of the detection is user-defined. A text-to-speech module is employed for the voice signal. The proposed obstacle avoidance device is cost effective, easy to use and easily upgraded.


Psychology ◽  
2014 ◽  
Vol 05 (19) ◽  
pp. 2218-2227 ◽  
Author(s):  
Pierluigi Diotaiuti ◽  
Filippo Petruccelli ◽  
Luigi Rea ◽  
Angelo Marco Zona ◽  
Valeria Verrastro

2021 ◽  
Vol 2089 (1) ◽  
pp. 012056
Author(s):  
K.A. Sunitha ◽  
Ganti Sri Giri Sai Suraj ◽  
G Atchyut Sriram ◽  
N Savitha Sai

Abstract The proposed robot aims to serve as a personal assistant for visually impaired people in obstacle avoidance, in identifying the person (known or unknown) with whom they are interacting with and in navigating. The robot has a special feature in truly locating the subject’s location using GPS. The novel feature of this robot is to identify people with whom the subject interacts. Facial detection and identification in real-time has been a challenge and achieved with accurate image processing using viola jones and SURF algorithms. An obstacle avoidance design has been implanted in the system with many sensors to guide in the correct path. Hence, the robot is a fusion of providing the best of the comfort and safety with minimal cost.


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