scholarly journals Development of Walking Assistive Cane for Obstacle Detection and Location Recognition for Visually Impaired People

2021 ◽  
Vol 33 (10) ◽  
pp. 3623
Author(s):  
Chang-Min Yang ◽  
Ji-Yong Jung ◽  
Jung-Ja Kim
Keyword(s):  
Visually Impaired ◽  
Obstacle Detection ◽  
Location Recognition ◽  
Visually Impaired People ◽  
Impaired People

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.

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.

Troublesome Objects: Unpacking Ocular-Centrism in Urban Environments by Studying Blind Navigation Using Video Ethnography and Ethnomethodology

2018 ◽  
Vol 24 (4) ◽  
pp. 475-495 ◽  
Author(s):  
Brian L Due ◽  
Simon Bierring Lange
Keyword(s):  
Visually Impaired ◽  
Urban Environments ◽  
Obstacle Detection ◽  
Design And Technology ◽  
Video Ethnography ◽  
Space Design ◽  
Blind And Visually Impaired ◽  
Visually Impaired People ◽  
Impaired People ◽  
Video Material

This article reports on research into the navigational practices of blind and visually impaired people in urban environments. The members of this community encounter many types of obstacles, but this article focuses on ‘unpredictable inanimate moveable objects’. The analyses are based on recorded video material from ‘naturally occurring’ walks in a Danish urban area and are informed by ethnomethodology, with a focus on how blind or visually impaired people navigate and deal with trouble sources. This research unpacks the detailed features of navigation and obstacle-detection in the urban environment and demonstrates the value of using ethnomethodology to analyze the skilled character of everyday navigation in spaces in which the walker-with-cane is a kind of assemblage in harmony or at odds with other surfaces and objects. The findings have implications for space design and technology developments which can assist blind people with obstacle detection. The article uses empirical cases to discuss an ocular-centric bias and suggests the need for a more granular understanding of physical objects and tactile experiences in future developments of a sociology of space.

scholarly journals Obstacle detection and warning system for visually impaired people based on electrode matrix and mobile Kinect

2016 ◽  
Vol 4 (2) ◽  
pp. 71-83 ◽  
Author(s):  
Van-Nam Hoang ◽  
Thanh-Huong Nguyen ◽  
Thi-Lan Le ◽  
Thanh-Hai Tran ◽  
Tan-Phu Vuong ◽  
...  
Keyword(s):  
Visually Impaired ◽  
Warning System ◽  
Obstacle Detection ◽  
Visually Impaired People ◽  
Impaired People ◽  
Electrode Matrix

scholarly journals Obstacle Detection using Stereo Imaging to Assist the Navigation of Visually Impaired People

2012 ◽  
Vol 14 ◽  
pp. 83-93 ◽  
Author(s):  
Paulo Costa ◽  
Hugo Fernandes ◽  
Paulo Martins ◽  
João Barroso ◽  
Leontios J. Hadjileontiadis
Keyword(s):  
Visually Impaired ◽  
Obstacle Detection ◽  
Stereo Imaging ◽  
Visually Impaired People ◽  
Impaired People
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