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Browsing by Author "Shahed, Mehedi Hasan"

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    A deep learning approach of translating speech into 3D hand sign language (ASL)
    (BRAC University, 2024-06) Rahman, Kazi Mahathir; Nafis, Naveed Imtiaz; Rafi, Mohammad Al; Shahed, Mehedi Hasan; Sadik, Md. Farhan; Alam, Md. Ashraful
    Automatic Sign Language Recognition (ASLR) is a rapidly advancing field that leverages computer vision and machine learning to interpret sign language gestures and convert them into text or spoken language. The goal is to facilitate communication between deaf and hearing individuals and to enhance accessibility in various domains. Each country typically has its sign language, such as American Sign Language (ASL) in the United States and British Sign Language (BSL) in the UK, with International Sign (IS) used in global contexts. While substantial research has focused on translating sign language to text, the reverse process of translating text to sign language still needs to be explored. This discrepancy highlights an essential gap in accessibility technologies for the deaf and hard-of-hearing communities. Text-to-sign language translation involves converting written or spoken language into corresponding sign language gestures, which is inherently complex due to sign language’s rich, visual, and spatial nature. Our research aims to develop a novel system for converting spoken language into 3D hand sign language, bridging the communication gap between the hearing and deaf communities. This innovative approach involves two main components: automatic speech recognition (ASR) and 3D hand sign generation.
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    SOLO: Web-Based Educational Resources
    (Daffodil International University, 2021-10-30) Islam, Shahinur; Shahed, Mehedi Hasan; Firoz, Mohammad Fahim
    We are going to develop a web application named “SOLO: Web-Based Educational Resources”. It’s an online platform for an offline educational institution. It provides the institute to run almost all main functionalities of study purposes online. Sometimes, unexpected things happen which causes offline education interrupted. Like last year (2020), every institution including the education system had been closed their physical activities because of the COVID-19 pandemic. This project provides services in these kinds of circumstances. There are fixed courses and subjects under some departments. Teachers can maintain these courses enrolling their students. A new department, subject, and course can be added anytime. This project maintains communication between teachers and students. Teachers and students can discuss with each other the topic of lectures about given courses via a social group. Teachers can share course content with their students. These contents can be any type of files like pdf, document, audio, or video. Students can view and if wish, can download them. They can take quizzes through this system. Classes can be held online through video meetings. Recording of these classes is also available for the students. They can submit the assignment on this system. This system also helps the institute to maintain its functionality online parallel along with offline which will save time and expenses for all. Also, will be easy for both the teacher and student.

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