Assessing a 3D digital Prototype for Teaching the Brazilian Sign Language Alphabet: an Alternative for Non-programming Designers by Francisco Renato Fernandes Feitosa, Ricardo Ramos Fragelli, Virgínia Tiradentes Souto

“… This study aims to analyse the users’ perceptions about a 3D digital artifacts prototype for teaching the fingerspelling alphabet of Brazilian Sign Language (LIBRAS). For this purpose, a high-fidelity prototype was developed with a non-programming method, and a usability test was conducted using a structured questionnaire with 31 participants, including Deaf and hearing people. …”
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Toward a Vision-Based Intelligent System: A Stacked Encoded Deep Learning Framework for Sign Language Recognition by Muhammad Islam, Mohammed Aloraini, Suliman Aladhadh, Shabana Habib, Asma Khan, Abduatif Alabdulatif, Turki M. Alanazi

Subjects: “…Arabic sign language recognition…”
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IRDC-Net: An Inception Network with a Residual Module and Dilated Convolution for Sign Language Recognition Based on Surface Electromyography by Xiangrui Wang, Lu Tang, Qibin Zheng, Xilin Yang, Zhiyuan Lu

Subjects: “…sign language recognition…”
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American Sign Language Words Recognition of Skeletal Videos Using Processed Video Driven Multi-Stacked Deep LSTM by Sunusi Bala Abdullahi, Kosin Chamnongthai

Subjects: “…American sign language words…”
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BdSLW-11: Dataset of Bangladeshi sign language words for recognizing 11 daily useful BdSL words by Md. Monirul Islam, Md. Rasel Uddin, Most Jannatul Ferdous, Sharmin Akter, Md. Nasim Akhtar

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Isolated Video-Based Sign Language Recognition Using a Hybrid CNN-LSTM Framework Based on Attention Mechanism by Diksha Kumari, Radhey Shyam Anand

Subjects: “…sign language…”
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A Mixed Methods Study of Hysterectomy in a U.S. Sample of Deaf Women Who Use American Sign Language by Katja Jacobs, Ai Minakawa, Sowmya R. Rao, Poorna Kushalnagar

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Random Forest-Based Recognition of Isolated Sign Language Subwords Using Data from Accelerometers and Surface Electromyographic Sensors by Ruiliang Su, Xiang Chen, Shuai Cao, Xu Zhang

Subjects: “…sign language recognition…”
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Computer vision-based six layered ConvNeural network to recognize sign language for both numeral and alphabet signs by Muhammad Aminur Rahaman, Kabiratun Ummi Oyshe, Prothoma Khan Chowdhury, Tanoy Debnath, Anichur Rahman, Md. Saikat Islam Khan

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A Systematic Review on Systems-Based Sensory Gloves for Sign Language Pattern Recognition: An Update From 2017 to 2022 by Zinah Raad Saeed, Zurinahni Binti Zainol, B. B. Zaidan, A. H. Alamoodi

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Using the ANPS Typology to Unearth the Relationship Between Japanese Sign Language (JSL) Endonymic Toponym Distribution and Regional Identity by Johnny George

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A Novel Phonology- and Radical-Coded Chinese Sign Language Recognition Framework Using Accelerometer and Surface Electromyography Sensors by Juan Cheng, Xun Chen, Aiping Liu, Hu Peng

Subjects: “…sign language recognition…”
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Comparative analysis of support vector machine and k-nearest neighbors with a pyramidal histogram of the gradient for sign language detection by Imantoko, Arief Hermawan, Donny Avianto

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Dynamic Japanese Sign Language Recognition Throw Hand Pose Estimation Using Effective Feature Extraction and Classification Approach by Manato Kakizaki, Abu Saleh Musa Miah, Koki Hirooka, Jungpil Shin

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DeepASLR: A CNN based human computer interface for American Sign Language recognition for hearing-impaired individuals by Ahmed KASAPBAŞI, Ahmed Eltayeb AHMED ELBUSHRA, Omar AL-HARDANEE, Arif YILMAZ

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Mathematical knowledge and language in deaf students: The relationship between the recitation of a numerical sequence and Brazilian Sign Language proficiency by Silene Pereira MADALENA, Jane CORREA, Alina Galvão SPINILLO

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A Real Time Arabic Sign Language Alphabets (ArSLA) Recognition Model Using Deep Learning Architecture by Zaran Alsaadi, Easa Alshamani, Mohammed Alrehaili, Abdulmajeed Ayesh D. Alrashdi, Saleh Albelwi, Abdelrahman Osman Elfaki

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VMware as an intermediate platform between Windows 7 and Linux Fedora 15 for real-time Malaysian sign language translator by Bilal, Sara Mohammed Osman Saleh, Nassr, Rasheed M., Akmeliawati, Rini

“…This research introduces a virtual interface between Windows 7 and LINUX Fedora 16 based on Virtual Machine ware (VMware) for real-time Malaysian Sign Language (MSL) translation into text and/or voice (in English). …”
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Static image of hand gesture for numerical sign language recognition system using backfrofagation neural network / Erman Ibrahim by Ibrahim, Erman

“…This project is about recognizing hand gesture for sign language using backpropagation (BP) algorithm that is one of the training algorithms used in the Artificial Neural Network (ANN). …”

Foreword by A. Sumru Özsoy

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