DocumentCode
266834
Title
Automated walk-in assistant for the blinds
Author
Sadi, Muhammad Sheikh ; Mahmud, S. ; Kamal, Md Mustafa ; Bayazid, Abu Ibne
Author_Institution
Dept. of Comput. Sci. & Eng., Khulna Univ. of Eng. & Technol., Khulna, Bangladesh
fYear
2014
fDate
10-12 April 2014
Firstpage
1
Lastpage
4
Abstract
This paper aims to provide a solution for the blind people to walk safely by detecting obstacle and generating corresponding alert signal according to the distance of the obstacle. The solution is provided by developing a walking assistant embedded in a spectacle glass with an obstacle detection module and an alarm generator. There is only one ultrasonic sensor in the obstacle detection module which can cover 3 meter distance and 60 degree angle to detect the obstacles. The obstacle detection module generates high frequency signal through the ultrasonic sensor and evaluate the echo which is received back by the sensor. Then the distance of the obstacle is measured and this information about the obstacle is delivered to a blind using the alarm generator which generates alarm corresponding to the distance. Experimental studies show that the proposed methodology provides a more cost effective, lesser weighty, simpler walk-in assistant for the blinds than existing dominant work.
Keywords
alarm systems; biomedical ultrasonics; collision avoidance; gait analysis; handicapped aids; sensory aids; ultrasonic equipment; vision defects; alarm generator; alert signal; automated walk-in assistant; blinds; echo; high frequency signal; obstacle detection module; obstacle distance; spectacle glass; ultrasonic sensor; Accuracy; Acoustics; Generators; Legged locomotion; Prototypes; Robot sensing systems; Blinds; Obstacle Detection; Ultrasonic Sensor; Walk-in Assistant;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Engineering and Information & Communication Technology (ICEEICT), 2014 International Conference on
Conference_Location
Dhaka
Print_ISBN
978-1-4799-4820-8
Type
conf
DOI
10.1109/ICEEICT.2014.6919037
Filename
6919037
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