scholarly journals Robust and Effective Banknote Recognition Model for Aiding Visual Impaired People

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Asfaw Alene Shefraw
Keyword(s):  
Recognition Model ◽  
Impaired People ◽  
Banknote Recognition

Developing Amharic Sign Language Recognition Model for Amharic Characters Using Deep Learning Approach

2021 ◽  
Author(s):  
Isayas Feyera ◽  
Hussien Seid
Keyword(s):  
Neural Network ◽  
Sign Language ◽  
Hearing Impaired ◽  
Single Shot ◽  
Language Recognition ◽  
Sign Language Recognition ◽  
Recognition Model ◽  
Training Models ◽  
The People ◽  
Impaired People

Abstract Hearing-impaired people use Sign Language to communicate with each other as well as with other communities. Usually, they are unable to communicate with normal people. Most of the people without hearing disability do not understand the Sign Language and unable to understand hearing-impaired people. So, they need recognition of Sign Language to text. In this research, a model is optimized for the recognition of Amharic Sign Language to Amharic characters. A convolutional neural network model is trained on datasets gathered from a teacher of Amharic Sign Language. Frame extraction from Amharic Sign Language video, labeling and annotation, XML creation, generate TFrecord, and training models are major general steps followed for developing models to recognize Amharic Sign Language to characters. After training of the neural network is completed, the model is saved for recognition of Sign Language from a video system or from the frame of video. The accuracy of the model is the summation of confidence of individual alphabets correctly recognized divided by the number of alphabets presented for evaluation for Faster R-CNN and SSD. Hence, the mean average accuracy of the Faster R-CNN and Single-Shot Detector is found to be 98. 25% and 96 % respectively. The model is trained and evaluated for the character of the Amharic language. The research will continue to include the remaining words and sentence used in Amharic Sign Language to have a full- edged Sign Language recognition model to a complete system.

scholarly journals Deep Learning Based Indian Currency Detection for Visually Challenged using VGG16

2020 ◽  
Vol 9 (2) ◽  
pp. 769-972
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Visually Impaired ◽  
Convolution Neural Network ◽  
Visually Impaired People ◽  
Impaired People ◽  
Learning Technique ◽  
Different Types ◽  
Visually Challenged ◽  
Banknote Recognition

Banknote recognition is a major problem faced by visually Challenged people. So we propose a system to help the visually Challenged people to identify the different types of Indian currencies through deep learning technique. In our proposed project, bank notes with different positions are directly fed into VGG 16, a pretrained model of convolution neural network which extracts deep features. From our work the visually impaired people will be able to recognize different types if Indian Currencies.

Application of IoT Based Stick for Visually Impaired People in CVIS System

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Ammar Muhammad ◽  
Qizhou Hu ◽  
Muhammad Tayyab ◽  
Yikai Wu ◽  
Muhammad Ahtsham
Keyword(s):  
Visually Impaired ◽  
Visually Impaired People ◽  
Impaired People

Widening the horizons: Information space of the library for the blind as the resource to improve quality of life of visually impaired people

2020 ◽  
Author(s):  
Olga Novikova ◽  
Keyword(s):  
Quality Of Life ◽  
Continuing Education ◽  
Visually Impaired ◽  
Information Space ◽  
Advanced Training ◽  
Improve Quality ◽  
Visually Impaired People ◽  
Impaired People ◽  
Special Library

The special library acts as the cultural and educational center for visually impaired people, and as the center for continuing education. The multifunctional performance of the library is substantiated. The joint projects accomplished in cooperation with theatres and museums and aimed at integrating the visually impaired people into the society are described. Advanced training projects for the library professionals accomplished in 2018 are discussed.

Touching Blind Bodies: A Critical Inquiry into Pedagogical and Cultural Constructions of Visual Disability in the Nineteenth Century

2018 ◽  
Author(s):  
Heather Tilley ◽  
Jan Eric Olsén
Keyword(s):  
Nineteenth Century ◽  
Visually Impaired ◽  
Blind People ◽  
Embodied Experience ◽  
Visual Disability ◽  
Visually Impaired People ◽  
Educational Challenges ◽  
Impaired People ◽  
The Senses ◽  
Cultural Constructions

Changing ideas on the nature of and relationship between the senses in nineteenth-century Europe constructed blindness as a disability in often complex ways. The loss or absence of sight was disabling in this period, given vision’s celebrated status, and visually impaired people faced particular social and educational challenges as well as cultural stereotyping as poor, pitiable and intellectually impaired. However, the experience of blind people also came to challenge received ideas that the visual was the privileged mode of accessing information about the world, and contributed to an increasingly complex understanding of the tactile sense. In this chapter, we consider how changing theories of the senses helped shape competing narratives of identity for visually impaired people in the nineteenth century, opening up new possibilities for the embodied experience of blind people by impressing their sensory ability, rather than lack thereof. We focus on a theme that held particular social and cultural interest in nineteenth-century accounts of blindness: travel and geography.

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