scholarly journals Design for the visually impaired when traveling outdoors using omnidirectional imagery and image recognition

Impact ◽  
2021 ◽  
Vol 2021 (5) ◽  
pp. 80-82
Author(s):  
Tetsuaki Baba
Keyword(s):  
Deep Learning ◽  
Visually Impaired ◽  
The Elderly ◽  
Associate Professor ◽  
Ultrasonic Waves ◽  
Assistive Technologies ◽  
Closed Captioning ◽  
Visually Impaired People ◽  
Mobility Aids ◽  
Impaired People

Assistive technologies, such as devices to help perform tasks, cognitive aids, mobility aids, physical modifications in the built environment and closed captioning, help to improve or maintain a person's ability to complete day-to-day tasks. For example, assistive technologies can be helpful for people with disabilities or the elderly, enabling them to work around challenges they may encounter. The development of assistive technologies depends on datasets, which are used for training, testing or validation. Furthermore, making such datasets widely available can help advance the field of assistive technologies. One area in which assistive technologies can be useful is in helping people who are visually impaired. For example, electronic mobility aids use ultrasonic waves that reflect off objects in front of people, letting them know what is ahead. At the Division of Industrial Art, Faculty of System Design, Tokyo Metropolitan University, in Japan, Associate Professor Tetsuaki Baba is using a deep learning approach to develop assistive technology for visually impaired people. As a foundation for this work, he and his team have developed a dataset for developers to create deep learning vision-based applications for visually impaired people.

Design for the visually impaired when traveling outdoors using omnidirectional imagery and image recognition

Impact ◽  
2020 ◽  
Vol 2020 (7) ◽  
pp. 34-36
Author(s):  
Tetsuaki Baba
Keyword(s):  
Deep Learning ◽  
Visually Impaired ◽  
The Elderly ◽  
Associate Professor ◽  
Ultrasonic Waves ◽  
Assistive Technologies ◽  
Closed Captioning ◽  
Visually Impaired People ◽  
Mobility Aids ◽  
Impaired People

Assistive technologies, such as devices to help perform tasks, cognitive aids, mobility aids, physical modifications in the built environment and closed captioning, help to improve or maintain a person's ability to complete day-to-day tasks. For example, assistive technologies can be helpful for people with disabilities or the elderly, enabling them to work around challenges they may encounter. The development of assistive technologies depends on datasets, which are used for training, testing or validation. Furthermore, making such datasets widely available can help advance the field of assistive technologies. One area in which assistive technologies can be useful is in helping people who are visually impaired. For example, electronic mobility aids use ultrasonic waves that reflect off objects in front of people, letting them know what is ahead. At the Division of Industrial Art, Faculty of System Design, Tokyo Metropolitan University, in Japan, Associate Professor Tetsuaki Baba is using a deep learning approach to develop assistive technology for visually impaired people. As a foundation for this work, he and his team have developed a dataset for developers to create deep learning vision-based applications for visually impaired people.

scholarly journals Inertial Measurement Unit Sensors in Assistive Technologies for Visually Impaired People, a Review

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4767
Author(s):  
Karla Miriam Reyes Leiva ◽  
Milagros Jaén-Vargas ◽  
Benito Codina ◽  
José Javier Serrano Olmedo
Keyword(s):  
Inertial Measurement Unit ◽  
Visually Impaired ◽  
Inertial Sensors ◽  
Assistive Technologies ◽  
Biomechanical Analysis ◽  
Measurement Unit ◽  
Inertial Measurement ◽  
Visually Impaired People ◽  
Impaired People ◽  
Application Fields

A diverse array of assistive technologies have been developed to help Visually Impaired People (VIP) face many basic daily autonomy challenges. Inertial measurement unit sensors, on the other hand, have been used for navigation, guidance, and localization but especially for full body motion tracking due to their low cost and miniaturization, which have allowed the estimation of kinematic parameters and biomechanical analysis for different field of applications. The aim of this work was to present a comprehensive approach of assistive technologies for VIP that include inertial sensors as input, producing results on the comprehension of technical characteristics of the inertial sensors, the methodologies applied, and their specific role in each developed system. The results show that there are just a few inertial sensor-based systems. However, these sensors provide essential information when combined with optical sensors and radio signals for navigation and special application fields. The discussion includes new avenues of research, missing elements, and usability analysis, since a limitation evidenced in the selected articles is the lack of user-centered designs. Finally, regarding application fields, it has been highlighted that a gap exists in the literature regarding aids for rehabilitation and biomechanical analysis of VIP. Most of the findings are focused on navigation and obstacle detection, and this should be considered for future applications.

scholarly journals INFERRING THE SCALE AND CONTENT OF A MAP USING DEEP LEARNING

2020 ◽  
Vol XLIII-B4-2020 ◽  
pp. 17-24
Author(s):  
G. Touya ◽  
F. Brisebard ◽  
F. Quinton ◽  
A. Courtial
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Convolutional Neural Networks ◽  
Visually Impaired ◽  
The Other ◽  
Visually Impaired People ◽  
Impaired People ◽  
Tactile Maps

Abstract. Visually impaired people cannot use classical maps but can learn to use tactile relief maps. These tactile maps are crucial at school to learn geography and history as well as the other students. They are produced manually by professional transcriptors in a very long and costly process. A platform able to generate tactile maps from maps scanned from geography textbooks could be extremely useful to these transcriptors, to fasten their production. As a first step towards such a platform, this paper proposes a method to infer the scale and the content of the map from its image. We used convolutional neural networks trained with a few hundred maps from French geography textbooks, and the results show promising results to infer labels about the content of the map (e.g. ”there are roads, cities and administrative boundaries”), and to infer the extent of the map (e.g. a map of France or of Europe).

scholarly journals Deep Learning-Based Fake-Banknote Detection for the Visually Impaired People Using Visible-Light Images Captured by Smartphone Cameras

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 63144-63161 ◽  
Author(s):  
Tuyen Danh Pham ◽  
Chanhum Park ◽  
Dat Tien Nguyen ◽  
Ganbayar Batchuluun ◽  
Kang Ryoung Park
Keyword(s):  
Deep Learning ◽  
Visible Light ◽  
Visually Impaired ◽  
Visually Impaired People ◽  
Impaired People
Sign in / Sign up

Export Citation Format

Share Document