Shortest path finding and obstacle detection for visually impaired people using smart phone

2015 ◽  
Author(s):  
Md. Ashraf Uddin ◽  
Ashraful Huq Suny
Keyword(s):  
Shortest Path ◽  
Visually Impaired ◽  
Smart Phone ◽  
Obstacle Detection ◽  
Path Finding ◽  
Visually Impaired People ◽  
Impaired People

MAGIC-I as Assistance for the Visually Impaired People

2020 ◽  
Vol 13 ◽  
Author(s):  
Kavita Pandey ◽  
Dhiraj Pandey ◽  
Vatsalya Yadav ◽  
Shriya Vikhram
Keyword(s):  
Visually Impaired ◽  
Smart Phone ◽  
Emergency Situation ◽  
Daily Activities ◽  
Daily Life Activities ◽  
Best Friends ◽  
Visually Impaired People ◽  
The World ◽  
Impaired People ◽  
Impaired User

Background: According to the WHO report, around 4.07% of the world's population is visually impaired. About 90% of the visually impaired users live in the lower economic strata. In the fast moving technology, most of the invention misses the need of these people. Mainly the technologies were designed for mainstream people; visually impaired people always find an inability to access it. This inability arises primarily for reasons such as cost, for example, Perkins Brailler costs 80-248 dollars for the simple purpose of Braille input. Another major reason is the hassle of carrying the big equipment. Objective: Keeping all this in mind and making technology as their best friends, MAGIC-1 has been designed. The goal is to provide a solution in terms of an application, which helps the visually impaired user in their daily life activities. Method: The proposed solution assists visually impaired users through smart phone technology. If visually impaired users ever wished to have a touched guide into a smart phone, MAGIC-1 has the solution that consolidates all the important features in their daily activities. Results: The performance of the solution as a whole and its individual features in terms of usability, utility and other metrics, etc. has been tested with sample visually impaired users. Moreover, their performances in term of Errors per Word and Words per Minute have been observed. Conclusion: MAGIC-I, the proposed solution works as an assistant of visually impaired users to overcome their daily struggles and stay more connected to the world. A visually impaired user can communicate via their mobile devices with features like eyes free texting using braille, voice calling etc. They can easily take help in an emergency situation with the options of SOS emergency calling and video assistance.

scholarly journals A Hands-Free Obstacle Detection and Avoidance System

2015 ◽  
Vol 5 (3) ◽  
pp. 801-804
Author(s):  
M. Abdul-Niby ◽  
M. Alameen ◽  
O. Irscheid ◽  
M. Baidoun ◽  
H. Mourtada
Keyword(s):  
Obstacle Avoidance ◽  
Visually Impaired ◽  
Low Cost ◽  
Cost Effective ◽  
Obstacle Detection ◽  
Text To Speech ◽  
Voice Signal ◽  
Visually Impaired People ◽  
Impaired People ◽  
The Voice

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.

Arabic Braille Touch Keyboard for Android Users

2014 ◽  
Vol 5 (2) ◽  
pp. 54-71 ◽  
Author(s):  
Nabil Hewahi ◽  
Ghadeer Abu-Shaban ◽  
Esraa El-Ashqer ◽  
Ayat Abu-Noqaira ◽  
Nour El-Wadiya
Keyword(s):  
Visually Impaired ◽  
Smart Phone ◽  
Touch Screen ◽  
Arabic Language ◽  
Tactile Feedback ◽  
Smart Phones ◽  
Special Equipment ◽  
Visually Impaired People ◽  
Impaired People ◽  
Touch Screen Devices

As smart phones appeared with their elegant, easy and exciting touch functionality, the use of touch screen devices has been spreading very fast. Beside the previous advantages, smart phones addresses some new challenges for people with disabilities. Most of visually impaired people don't prefer using touch-screen devices, as these lack the tactile feedback and are visually demanding. However, there have been some solutions to come over these problems, but they were not enough. Some of these solutions is to connect a special equipment to a smart phone to allow the visually impaired user to enter the required input. Other applications help visually impaired people to use the smart phones and read whatever on the screen by hovering their finger tips on the text. Visually impaired people who use smart phones have to memorize QWERTY keyboard which have a large number of targets with small locations specified for each target which will lead to a high proportion of error occurrence. In this paper, the authors propose ABTKA- Arabic Braille Touch Keyboard for Android Users. This application is the first application for Arabic language that uses Braille language for visually impaired who are using smart phones or intended to do so. ABTKA facilitates text-entry functionality by supporting Braille writing on touch screens. The used approach in the proposed system can be easily adapted to other languages. The main advantages of the used approach are that it does not need any extra equipment to be connected to the smart phone; it is dynamic (no fixed positions for the touch points), simple to use, one entry for each character, supported by voice and respond promptly to the input. ABTKA involves various algorithms to achieve its objectives. It starts with entering the user standard locations of finger tips, then the user can enter any Braille character which has to be reindexed to be in the same order of Perkins Brailler's buttons. Any inserted character is converted to Arabic character. Any converted character will have a voice feedback. Words and full sentences will also have voice feedback. ABTKA has been tested by various visually impaired people and proved that it is easy to learn and simple to use.

scholarly journals Object Identification and Safe Route Recommendation Based on Human Flow for the Visually Impaired

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5343 ◽  
Author(s):  
Yusuke Kajiwara ◽  
Haruhiko Kimura
Keyword(s):  
Visually Impaired ◽  
Object Identification ◽  
Obstacle Detection ◽  
World Health ◽  
Detection Methods ◽  
Monocular Camera ◽  
Visually Impaired People ◽  
Average Accuracy ◽  
Impaired People ◽  
Health Organization

It is difficult for visually impaired people to move indoors and outdoors. In 2018, world health organization (WHO) reported that there were about 253 million people around the world who were moderately visually impaired in distance vision. A navigation system that combines positioning and obstacle detection has been actively researched and developed. However, when these obstacle detection methods are used in high-traffic passages, since many pedestrians cause an occlusion problem that obstructs the shape and color of obstacles, these obstacle detection methods significantly decrease in accuracy. To solve this problem, we developed an application “Follow me!”. The application recommends a safe route by machine learning the gait and walking route of many pedestrians obtained from the monocular camera images of a smartphone. As a result of the experiment, pedestrians walking in the same direction as visually impaired people, oncoming pedestrians, and steps were identified with an average accuracy of 0.92 based on the gait and walking route of pedestrians acquired from monocular camera images. Furthermore, the results of the recommended safe route based on the identification results showed that the visually impaired people were guided to a safe route with 100% accuracy. In addition, visually impaired people avoided obstacles that had to be detoured during construction and signage by walking along the recommended route.

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