Achraf Othman

Achraf Othman
Mada Center · ICT Accessibility Research and Innovation Section

Ph.D.
Looking for collaborations

About

41
Publications
16,905
Reads
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197
Citations
Citations since 2017
26 Research Items
162 Citations
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20172018201920202021202220230102030405060
20172018201920202021202220230102030405060
Additional affiliations
September 2010 - present
Université de Tunis
Position
  • Lecturer
Education
December 2010 - December 2013
University of Sfax
Field of study
  • Computer Science

Publications

Publications (41)
Article
Brain-Computer Interface (BCI) enables direct communication between the brain and an external device. BCI systems have become a popular area of study in recent years. These technologies can be utilized in various ways to assist people with disabilities and healthy individuals. Regarding substantial BCI advancements, we can say that these systems ar...
Article
Fabrication laboratories (FabLabs) are utilized to materialize concepts. They can improve cognitive and creative abilities when used in a design-learning situation. Numerous studies have attempted to comprehend the relationship between makerspaces and creativity in a variety of disciplines, with the capacity to generate innovative consequences in m...
Article
Full-text available
Automatic Speech Recognition (ASR), also known as Speech-To-Text (STT) or computer speech recognition, has been an active field of research recently. This study aims to chart this field by performing a Systematic Literature Review (SLR) to give insight into the ASR studies proposed, especially for the Arabic language. The purpose is to highlight th...
Article
Full-text available
This paper presents the findings of a scoping review that maps exploratory evidence and gaps in research on information and communication technology (ICT) access and use among older persons in the Arab region. This review is part of a larger project that studies ICT access and use and related challenges faced by older adults in Qatar. A search was...
Article
This paper describes an ongoing project on developing a new web-based tool for annotating Sign languages. This tool is used to annotate the First Qatari Sign Language dataset called Jumla Dataset: The Jumla Qatari Sign Language Corpus” with written Arabic text. The annotation of videos in Qatari Sign Language (QSL) takes input from signers to ident...
Article
As well as all spoken languages, Sign Languages SL have a structured grammar and syntax. Despite that it was visual, multi-dimensional and mainly based on gestures, SL follows specifics grammatical rules. Consequently, the automatic generation of sign language should follow these rules. It’s for this reason that Mada works on the development of a n...
Article
Full-text available
With the advent of high-speed and parallel computing, the applicability of computational optimization in engineering problems has increased, with greater validation than conventional methods. Pitch angle is an effective variable in extracting maximum wind power in a wind turbine system (WTS). The pitch angle controller contributes to improve the ou...
Article
Full-text available
The use of face masks has become a widespread non-pharmaceutical practice to mitigate the transmission of COVID-19. However, achieving accurate facial detection while people wear masks or similar face occlusions is a major challenge. This paper introduces a model to detect occluded or masked faces based on fused convolutional graphs. This model inc...
Article
Full-text available
In cooperation with its strategic partners, Mada Center works to identify the needs of persons with disabilities for assistive technology and digital access solutions in Arabic. The center has supported start-ups and entrepreneurs to localize technological devices and solutions through the Mada Innovation Program, with the aim of improving digital...
Article
Full-text available
Pictograms (also called symbols) are widely used in daily life as a type of visual language, such as transportation venue signs (airport, rail station, etc.), road signs, care symbols on clothing, or direction symbols. This shows how symbols can communicate information quickly and effectively. Fundamentally, symbols can be understood, regardless of...
Article
Mada Center Qatar is a W3C member working on the localization of the international standards and guidelines to enhance the digital accessibility journey of persons with disabilities and the Elderly, Since January 2020, Mada leads the Authorized Arabic Translation of WCAG...
Article
Emergency notification during pandemics is part of broader risk management, company-wide communication and emergency planning strategies, to improve communication, workflow, and services before, during, and after an emergency. As it is very important that the message is broadcasted to everyone including persons with disabilities and Elderly.
Chapter
Since December 2019, we lived in unique times as a result of the COVID-19 virus in the entire world. Effective communication is always essential for everyone including persons with disabilities and in particular persons with communication impairment. Thanks to Information and Communication Technologies (ICT), access to information became easier for...
Chapter
Due to the COVID-19 pandemic, face-to-face teaching was banned, and more than one billion students did not return to school. While both teachers and students found themselves in a very challenging situation as they both need to quickly adapt to remote teaching and learning respectively, students with disabilities found themselves in even more diffi...
Chapter
Considering the rapid technological development and especially for assistive technology, the six-point Braille system has become insufficient to meet the needs of the blind and enable them to read, write content, and, to publish accessible documents. This system is not sufficient to write and produce scientific contents that contain several symbols...
Article
Full-text available
In this article, the authors deal with the machine translation of written English text to sign language. They study the existing systems and issues in order to propose an implantation of a statistical machine translation from written English text to American Sign Language (English/ASL) taking care of several features of sign language. The work prop...
Conference Paper
Full-text available
Recent years have witnessed an increasing interest in the mobile computing realm. Gartner says that mobile device (smartphones and tablets) sales are on a continuous rise from year to year, and the future of enterprise applications , both for enterprise workers and consumers, is mobility. Actually, multiple platforms are making mobile devices' mark...
Conference Paper
Full-text available
In this paper, we present a study on the relationship between American Sign Language (ASL) statements and English written texts toward building a statistical machine translation (SMT) using 3D avatar for interpretation. The process included a novel algorithm which transforms an English part-of-speech sentence to ASL-Gloss. The algorithm uses a rule...
Conference Paper
Full-text available
Representation of Sign Language (SL) in written form is required for the generation via avatar or any other tools of synthesis. Although, this problem can be solved by developing a new transcription system based on one of existing annotation like gloss. In this context, we present a new transcription system for the American Sign Language (ASL) base...
Conference Paper
Full-text available
Arabic sign languages still lack exhaustive scientific studies of their grammatical structure, morpho-syntactic rules, as well as the rules that govern the construction of sentences in these languages. Such studies are necessary for the development and evolution of any language (spoken or sign language). In addition, the lack of tools that help res...
Conference Paper
This work presents a novel approach for 3D head segmentation as well as for extraction of facial features vertices. These tasks are the preliminary task for retrieval, recognition, classification and tracking processes. 3D head regions are detected from a cloud of points using the ratio of geodesic to Euclidean distances between pairs of vertices t...
Conference Paper
Full-text available
A serious problem facing the Community for researchers in the field of sign language is the absence of a large parallel corpus for signs language. The ASLG-PC12 project, proposes a rule-based approach for building big parallel corpus between English written texts and American Sign Language Gloss. We present a novel algorithm which transforms an Eng...
Article
Full-text available
In this paper, we present an approach for building translation memory for American Sign Language (ASL) from parallel corpora between English and ASL, by identifying new alignment combinations of words from existing texts. Our primary contribution is the application of several models of alignments for Sign Language. The model represents probabilisti...
Conference Paper
Full-text available
The Community for researchers in the field of sign language is facing a serious problem which is the absence of a large parallel corpus for signs language. The ASLG-PC12 project, conducted in our laboratory, proposes a rule-based approach for building big parallel corpus between English written texts and American Sign Language Gloss. In this paper,...
Conference Paper
Full-text available
A serious problem facing the community of researchers in the field of sign language is the absence of a large parallel corpus for signs language. The ASLG-PC12 project proposes a rule-based approach for building a big parallel corpus of English written texts and American Sign Language glosses. We present a novel algorithm that transforms an English...
Conference Paper
Full-text available
This work presents a novel approach for 3D head segmentation as well as for extraction of facial features vertices. These tasks are the preliminary task for retrieval, recognition, classification and tracking processes. 3D head regions are detected from a cloud of points using the ratio of geodesic to Euclidean distances between pairs of vertices t...
Article
Full-text available
This works aims to design a statistical machine translation from English text to American Sign Language (ASL). The system is based on Moses tool with some modifications and the results are synthesized through a 3D avatar for interpretation. First, we translate the input text to gloss, a written form of ASL. Second, we pass the output to the WebSign...
Conference Paper
Full-text available
the extraction of Facial features vertices from 3D faces is a beforehand task for retrieval, recognition, classification and tracking processes. Facial regions are detected from the cloud of points using the ratio of geodesic to Euclidean distances between pairs of vertices that combine neighbor coordinates and position information of the vertex. M...
Conference Paper
Full-text available
Sports are important in the life of deaf, as well as hearing persons, on physical, social and mental levels. However, despite that there exist many deaf sports organization in the world, the announcement of sports’ results and actualities is still done by written or vocal languages. In this context, we propose a Web based application to edit and di...

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Projects

Projects (5)
Project
Nafath aims to be a key information resource for disseminating the facts about the latest trends and innovations in the field of ICT Accessibility. It is published in English and Arabic languages on a quarterly basis and intends to be a window of information to the world, highlighting the pioneering work done in our field to meet the growing demands of ICT Accessibility and Assistive Technology products and services in Qatar and the Arab region. Nafath © 2021 by Mada Center, Qatar is licensed under CC BY-NC-ND 4.0.
Project
ALECSO has proposed a comprehensive and strategic initiative (ALECSO Apps) aiming to provide the necessary technological and institutional environment for the promotion of an emerging digital creative Arab Mobile industry, related to the fields of education, culture, science and serious games. The ALECSO mobile apps initiative has started in 2015 and is still running. This initiative involves 22 Arab country members in the Arab League of States. Some partners including universities, and ministries of education and ICT, and mobile phone and telecommunication companies in the Arab region are included in this program.
Project
Improve the life of people with disabilities thanks to ICT. We working mainly in two sub-projects: - Using ICT to improve communication with deaf people - Accessibility pf people with disabilities to e-learning