Design of a Braille Learning Application for Visually Impaired Students in Bangladesh

Nahar, Lutfun; Ahamed, Eistiak; Kaish, A. B. M. A.

doi:10.1080/10400435.2015.1011758

Cited by 42 publications

(12 citation statements)

References 24 publications

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“…Therefore, prototypes of games adapted for the visually impaired can, at least in part, help to meet the need for new teaching resources in a universe demanding of these, especially in education for the visually impaired, since it provides the development of skills using other senses besides of vision. In line with our work, a previous study demonstrated that the development of a specific design on mobile devices focused on braille application (mobile phone-based Braille application, "mBRAILLE"), allowed individuals with vision loss to learn English and, in the pilot study, users approved this technology (Nahar, et al, 2015).…”

Section: Discussionsupporting

confidence: 84%

The use of 3D printing for the development of a learning tool for the visually impaired.

Jorge

Albuquerque

Carvalho

2021

Int J Innov Educ Res

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3D printing is a technology that allows manufacturing objects from a virtual model. The field of education has appropriated its use due to its potential to contribute to the teaching-learning process, especially for the education of the visually impaired. Visually impaired people develop their skills through alternative means, mainly using auditory and tactile landmarks as a way of obtaining information. Within the innovative perspectives for education, this study aims to propose a learning tool using 3D printing technology to build a board game employed for the use of unplugged programming language in the education of children visually impaired for their development of logical thinking skills. The learning tool production started in its modeling performed using specific software that generated 3D virtual models. Later, these files were sent to a 3D printer for printing, using the fused filament fabrication, originating physical copies of modeled objects. Then, the objects, now printed, went through a finishing process for their completion. Part of the game components received braille indications accordingly to the proposed in this study. As a result, we obtained a game prototype adapted for the visually impaired, made through 3D printing, with the potential to assist in the teaching-learning process.

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Section: Discussionsupporting

confidence: 84%

The use of 3D printing for the development of a learning tool for the visually impaired.

Jorge

Albuquerque

Carvalho

2021

Int J Innov Educ Res

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“…Nahar et al (2015) developed a mobile phone-based Braille learning application called “mBraille,” compatible with the Android application. The application was found useful to visually impaired students with an overall satisfaction level of 4.53 out of 5 in the survey.…”

Section: Resultsmentioning

confidence: 99%

A comprehensive digital environment for visually impaired students: user’s perspectives

Bhardwaj

Kumar

2017

LHT

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Purpose The purpose of this paper is to understand the perception of visually impaired undergraduate students about the digital environment in their institutions and develop an online information system suiting their requirements. Design/methodology/approach A survey was conducted on undergraduate students enrolled in ten colleges of the University of Delhi. A total of 95 visually impaired students were interviewed individually. Data collected from the respondents were analyzed and interpreted using simple percentage method and is presented in the form of figures. Findings The study found that maximum (35.8 percent) respondents access online electronic resources daily. Major constraints faced by them are as follows: inaccessibility of the college notice board, lack of accessibility to existing facilities and resources, lack of assistive technology facilities and unavailability of readers and writers. In total, 51.6 percent respondents indicated that it is cumbersome to access the college website because they are not designed according to the accessibility standards developed for visually impaired students. The respondents also revealed that they are not very familiar with useful devices like Vachak (Hindi Reading Device), SARA CE, Lex (Scanner for Hindi Script). The major reason cited by them is the lack of training and non-availability of trained staff. Research limitations/implications DigitVaran contains course contents of the University of Delhi. Course contents of other Universities are not included. However, it is expected that contents related to the syllabi of other universities would be added in future. Practical implications The study will help visually impaired students to get the desired course contents conveniently. In addition, librarians of other universities can utilize the findings of the study to develop a comprehensive digital environment for visually impaired students. The study can be helpful in the assessment of digital infrastructure and services to visually impaired students by National Assessment and Accreditation Council and other funding agencies. Originality/value The study developed an information system DigitVaran to assist visually impaired undergraduate students in India. The system will help them to access the study materials and make aware of various extracurricular activities of the institutions.

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“…On completion of the task, vibrio-tactile feedback is provided by [20] and [21]. An educational application named mBraille was designed for learning English and Bengali [38]. Braille-to-text conversion is also performed in other languages such as Hindi, Tamil, Urdu, Odia, Arabic, Chinese, Bengali, Telugu, Malayalam, and Kannada [18,[39][40][41][42][43][44][45].…”

Section: Braille Input Mechanismmentioning

confidence: 99%

Deep learning scheme for character prediction with position-free touch screen-based Braille input method

Shokat

Riaz

Rizvi

et al. 2020

Hum. Cent. Comput. Inf. Sci.

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Smart devices are effective in helping people with impairments, overcome their disabilities, and improve their living standards. Braille is a popular method used for communication by visually impaired people. Touch screen smart devices can be used to take Braille input and instantaneously convert it into a natural language. Most of these schemes require location-specific input that is difficult for visually impaired users. In this study, a position-free accessible touchscreen-based Braille input algorithm is designed and implemented for visually impaired people. It aims to place the least burden on the user, who is only required to tap those dots that are needed for a specific character. The user has input English Braille Grade 1 data (a–z) using a newly designed application. A total dataset comprised of 1258 images was collected. The classification was performed using deep learning techniques, out of which 70%–30% was used for training and validation purposes. The proposed method was thoroughly evaluated on a dataset collected from visually impaired people using Deep Learning (DL) techniques. The results obtained from deep learning techniques are compared with classical machine learning techniques like Naïve Bayes (NB), Decision Trees (DT), SVM, and KNN. We divided the multi-class into two categories, i.e., Category-A (a–m) and Category-B (n–z). The performance was evaluated using Sensitivity, Specificity, Positive Predicted Value (PPV), Negative Predicted Value (NPV), False Positive Rate (FPV), Total Accuracy (TA), and Area under the Curve (AUC). GoogLeNet Model, followed by the Sequential model, SVM, DT, KNN, and NB achieved the highest performance. The results prove that the proposed Braille input method for touch screen devices is more effective and that the deep learning method can predict the user's input with high accuracy.

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Design of a Braille Learning Application for Visually Impaired Students in Bangladesh

Cited by 42 publications

References 24 publications

The use of 3D printing for the development of a learning tool for the visually impaired.

The use of 3D printing for the development of a learning tool for the visually impaired.

A comprehensive digital environment for visually impaired students: user’s perspectives

Deep learning scheme for character prediction with position-free touch screen-based Braille input method

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