Dynamic Korean Sign Language Recognition Using Pose Estimation Based and Attention-Based Neural Network by Jungpil Shin, Abu Saleh Musa Miah, Kota Suzuki, Koki Hirooka, Md. Al Mehedi Hasan

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A Comparative Study on Performance of SVM and CNN in Tanzania Sign Language Translation Using Image Recognition by Kasian Myagila, Hassan Kilavo

“…Sign language is an effective form of communication for speech impaired people. …”
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A Machine Learning Based Full Duplex System Supporting Multiple Sign Languages for the Deaf and Mute by Muhammad Imran Saleem, Atif Siddiqui, Shaheena Noor, Miguel-Angel Luque-Nieto, Enrique Nava-Baro

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Recognition of Fingerspelling Sequences in Polish Sign Language Using Point Clouds Obtained from Depth Images by Dawid Warchoł, Tomasz Kapuściński, Marian Wysocki

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The future of fashion & human gesture control : exploration of a wearable communication device for sign language speakers by Booker, Dextina Alana.

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A model for real-time recognition and textual representation of Malaysian sign language through image processing by Karabasi, Mostafa, Bhatti, Zeeshan, Shah, Asadullah

“…We propose a model for recognizing Malaysian sign language through image processing techniques and converting the visual information into textual information in real-time. …”
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BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues by Albanie, S, Varol, G, Momeni, L, Afouras, T, Chung, JS, Fox, N, Zisserman, A

“…We make the following contributions: (1) We show how to use mouthing cues from signers to obtain high-quality annotations from video data—the result is the BSL-1K dataset, a collection of British Sign Language (BSL) signs of unprecedented scale; (2) We show that we can use BSL-1K to train strong sign recognition models for co-articulated signs in BSL and that these models additionally form excellent pretraining for other sign languages and benchmarks—we exceed the state of the art on both the MSASL and WLASL benchmarks. …”

Effects Of Presentation Modes On The Learning Of Sign Language Among Hearing Impaired Students With Different Cognitive Styles by V. V. Menon, V. Chadra Shakaran

“…The independent variables are the three presentation modes of the courseware namely Sign Language Video, Text and Image (SLTI), Sign Language Video and Text (SLT) and Sign Language Video and Image (SLI). …”
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Learning and manipulating human's fingertip bending data for sign language translation using PCA-BMU classifier by Adnan, Nazrul H., Wan, Khairunizam, AB, Shahriman, Abu Bakar, Juliana Aida, Aziz, Azri A., Ali, M. Hazwan

“…Nowadays the classification of fingers movement could be used to classify or categorize many kinds of human finger motions including the classification of sign language for verbal communication.Principal Component Analysis (PCA) is one of classical method that capable to be verity the finger motions for various alphabets by reducing the dimensional dataset of finger movements.The objective of this paper is to analyze the human finger motions / movements between thumbs,index and middle fingers while bending the fingers using PCA-BMU based techniques. …”
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Uncovering the needs for a hybridized interaction design model for sign language learning through experts’ feedback by Aziz, Nurulnadwan, Che Omar, Azizah, Abdul Mutalib, Ariffin, Ahmad, Siti Zulaiha, Muin, Mohd Adib, Annamalai, Subashini

“…Hence, this paper aims at uncovering the current design principles applied in learning materials for learning sign language for the hearing-impaired learners. Besides an elicitation of literature, a semi-structured interview with the experts in hearing-impaired curricula has been carried out. …”
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A communicator between hearing impaired and blind individuals using text to speech converter with sign language and speech filter analysis / by 622159 Rozeha Abd. Rashid, Fakulti Kejuruteraan Elektrik

Subjects: “…Sign language…”

Malaysian sign language translator for communication using 3 - D virtual human character (Alterlanguage) [electronic resource] / by 383355 Hazrul Husain, Manan Ahmad, Universiti Teknologi Malaysia. Fakulti Sains Komputer dan Sistem Maklumat

Subjects: “…Sign language…”

Atom Search Optimization with Deep Learning Enabled Arabic Sign Language Recognition for Speaking and Hearing Disability Persons by Radwa Marzouk, Fadwa Alrowais, Fahd N. Al-Wesabi, Anwer Mustafa Hilal

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Does early exposure to spoken and sign language affect reading fluency in deaf and hard-of-hearing adult signers? by Anastasia A. Ziubanova, Anna K. Laurinavichyute, Olga Parshina

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Produções culturais em língua brasileira de sinais (Libras) = Cultural productions in Brazilian sign language (Libras) by Karnopp, Lodenir Becker

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An evaluation of real-time requirements for automatic sign language recognition using ANNs and HMMs - The LIBRAS use case by Ednaldo Brigante Pizzolato, Mauro dos Santos Anjo, Sebastian Feuerstack

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Deep learning-based sign language recognition system using both manual and non-manual components fusion by Maher Jebali, Abdesselem Dakhli, Wided Bakari

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Towards Real-Time and Rotation-Invariant American Sign Language Alphabet Recognition Using a Range Camera by Derek D. Lichti, Hervé Lahamy

“…This study has demonstrated the efficiency of the proposed rotation invariant 3D hand posture signature which leads to 93.88% recognition rate after testing 14,732 samples of 12 postures taken from the alphabet of the American Sign Language.…”
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Indonesian Sign Language (SIBI) Vocabulary Learning Media Design Based on Augmented Reality for Hearing-Impaired Children by Martianda Anggraeni, Widi Sarinastiti, Setiyo Wati

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Disability does not negatively impact linguistic visual-spatial processing for hearing adult learners of a signed language by Taylor Renee Joyce, David Quinto-Pozos, Jenny L. Singleton, Michael DiLeo

Subjects: “…sign language…”
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