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Automatic fingersign-to-speech translation system
2011
Journal on Multimodal User Interfaces
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Different spoken languages and sign languages such as English, Russian, Turkish and Czech are considered. ...
Fingerspelling is a subset of sign language, and uses finger signs to spell letters of the spoken or written language. We aim to convert finger spelled words to speech and vice versa. ...
The animation model allows expressing both manual and non-manual components of sign languages. The manual component is fully expressed by rotations of the body segments. ...
doi:10.1007/s12193-011-0059-3
fatcat:dexq3o2auzeupivz76sn6yn4bi
HOSPISIGN: AN INTERACTIVE SIGN LANGUAGE PLATFORM FOR HEARING IMPAIRED
2015
Journal of Naval Science and Engineering
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HospiSign recognizes isolated signs in a structured activity diagram using Dynamic Time Warping based classifiers. ...
The objective of this paper is to review sign language based Human-Computer Interaction applications and to introduce HospiSign in this context. ...
In the finger spelling synthesis model, a 3D animated avatar is used to express both manual and non manual features of a given sign. ...
doaj:fc2888286a074d17b648b168c64ce764
fatcat:ksecv5a64jennd54ufwh74upqe
Recognition of Sign Language Letters Using Image Processing and Deep Learning Methods
2021
Zeki sistemler teori ve uygulamaları dergisi
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In this study, it was achieved t o dynamically recognize the movements of the sign language finger alphabet via image processing using deep learning methods and to translate it into writing. ...
Accordingly, it is aimed to facilitate communication between people who do not know the sign language in daily life and people with hearing loss. ...
Acknowledgment The dataset used for training in this study is available at https://www.kaggle.com/feronial/turkish-signlanguagefinger-spelling. ...
doi:10.38016/jista.808458
fatcat:tyewgcxarrgrdho4hyfypyq36i
Towards Computer Assisted International Sign Language Recognition System: A Systematic Survey
2014
International Journal of Computer Applications
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In this paper, we focus on the advancements in computer assisted sign language recognition systems. ...
There is a number of automated sign language recognition systems proposed in the computer vision literature. ...
They use a single non-manual signal, head movement, to evaluate the proposed framework when recognizing non-manual signals. ...
doi:10.5120/15727-4698
fatcat:2ni6daxrybenrpjzebogt4pcge
Sign Language Tutoring Tool
2005
Zenodo
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Publication in the conference proceedings of EUSIPCO, Antalya, Turkey, 2005 ...
In the current version of the demonstrator, we used 7 different dynamic signs from Turkish Sign Language. Table 1 shows the properties of each sign. ...
The current version of the demonstrator has some requirements and restrictions: • The signs currently in the application library are 7 signs form Turkish Sign Language • These 7 signs are dynamic signs ...
doi:10.5281/zenodo.39435
fatcat:qvykdph7gzftlf7wou62uzvaga
Sequential Belief-Based Fusion of Manual and Non-manual Information for Recognizing Isolated Signs
[chapter]
2009
Lecture Notes in Computer Science
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This work aims to recognize signs which have both manual and nonmanual components by providing a sequential belief-based fusion mechanism. ...
We propose a methodology based on belief functions for fusing extracted manual and non-manual features in a sequential two-step approach. ...
American Sign Language (ASL), British Sign Language, Turkish Sign Language, French Sign Language are different sign languages used by corresponding communities of hearing impaired people. ...
doi:10.1007/978-3-540-92865-2_14
fatcat:pp2irxi4v5ekbhxzm3ih7t63t4
Automatic recognition fingerspelling gestures in multiple languages for a communication interface for the disabled
2012
Pattern Recognition and Image Analysis
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The system converts fingerspelled words to speech and vice versa using fingerspelling recognition, fingerspelling synthesis, speech recognition and speech synthesis in Czech, Russian and Turkish Languages ...
We describe an adaptive skin color based fingersign recognition system with a close to real time performance and present recognition results on 88 different letters signed by five different signers, using ...
Although most sign languages are quite rich in terms of the number of signs in the lan guage, there can be some foreign words, private names, or uncommon words, for which no sign is defined. ...
doi:10.1134/s1054661812040086
fatcat:llrl4ncd2jagtpg7ynmhzzps3m
BosphorusSign22k Sign Language Recognition Dataset
[article]
2020
arXiv
pre-print
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The primary objective of this dataset is to serve as a new benchmark in Turkish Sign Language Recognition for its vast lexicon, the high number of repetitions by native signers, high recording quality, ...
In this paper, we introduce the BosphorusSign22k, a publicly available large scale sign language dataset aimed at computer vision, video recognition and deep learning research communities. ...
and production systems, where distinguishing between instances of similar sign classes with similar manual and non-manual features is essential. ...
arXiv:2004.01283v2
fatcat:rcoim462wvdvllyvh6xfe4d7nm
Towards Hybrid Multimodal Manual and Non-Manual Arabic Sign Language Recognition: mArSL Database and Pilot Study
2021
Electronics
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In addition, we evaluated the fusion of spatial and temporal features of different modalities, manual and non-manual, for sign language recognition using the state-of-the-art deep learning techniques. ...
However, most of the existing and available works on sign language recognition systems focus on manual gestures, ignoring other non-manual information needed for other language signals such as facial expressions ...
In addition, a few signs in sign language depend on the non-manual gestures without manual gestures. ...
doi:10.3390/electronics10141739
fatcat:ga37vyeimjbrpasutw4spqw5ta
SignTutor: An Interactive System for Sign Language Tutoring
2009
IEEE Multimedia
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Sign Language, the natural communication medium for a deaf person, is difficult to learn for the general population. ...
Since language learning can only advance with continuous practice and corrective feedback, we have developed an interactive system, called SignTutor, which automatically evaluates users' signing and gives ...
It should exploit both the manual and non-manual signs and the grammar and syntax of the sign language. ...
doi:10.1109/mmul.2009.17
fatcat:xg4hq72jhngdhlurek6w4epuki
A Corpus-Based Typology of Negation Strategies in Turkish Sign Language
2021
Dilbilim Araştırmaları Dergisi
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This paper investigates the distribution of negation strategies in Turkish Sign Language (TİD) in the light of frequency-based data from a naturalistic TİD Corpus. ...
not lexically specified for NOT in contrast to Gökgöz ( 2011 ), (iii) on the other hand, in line with Pfau (2016), we show that TİD can easily be categorized as a Non-Strict NC language. ...
Negation Strategies in Turkish Sign Language As stated above, NMMs, such as brow raising and backward head tilt, play a crucial role in the TİD grammar. ...
doi:10.18492/dad.853176
fatcat:4pepysnqcbbr3dvzktq2lgd254
Design and Development of a Humanoid Robot for Sign Language Interpretation
2021
SN Computer Science
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It can imitate 16 BdSL alphabets in sign language, can capture a video or image input in real-time from the user, and recognize 10 medical signs and 38 alphabets of BdSL. ...
Image-based Bangla sign language recognition achieved an overall test accuracy of 98.19% in our dataset and 93.8% in another available dataset. ...
sign
language of American sign language
dictionary
Number of signs recognized
15 signs of Turkish sign language
9 signs of Turkish Sign language
Cannot recognize signs
38 signs of Bangla sign ...
doi:10.1007/s42979-021-00627-3
fatcat:i5qqglt5gja3ph2rx5iib37g4a
ODIA LANGUAGE TO SIGN LANGUAGE MACHINE TRANSLATION SYSTEM: A FACE-TUBE FOR AUDIBLE IMPAIRED PEOPLE
2017
International Journal of Advanced Research
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Sign languages are made up of both manuals components and non-manual components such as gaze, facial expressions and emotions. ...
Japanese Sign Language (Nihon Shuwa, JSL), British Sign Language (BSL) and Turkish Sign Language (Türk İşaret Dili, TID) are out of them. ...
doi:10.21474/ijar01/3841
fatcat:bkh7qyueg5eplbwtlhy4oidyyu
Aspects of Türk Isaret Dili (Turkish Sign Language)
2003
Sign Language and Linguistics
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This article provides a first overview of some striking grammatical structures in Türk İş aret Dili (Turkish Sign Language, TID), the sign language used by the Deaf community in Turkey. ...
The data are described with a typological perspective in mind, focusing on aspects of TID grammar that are typologically unusual across sign languages. ...
My research on sign language typology is funded by the German Science Foundation (DFG) under the Emmy-Noether post-doctoral research scheme. ...
doi:10.1075/sll.6.1.04zes
fatcat:acy3oeclz5ge3mn5iewqf7bqme
A belief-based sequential fusion approach for fusing manual signs and non-manual signals
2009
Pattern Recognition
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of the research on sign language recognition concentrates on recognizing only manual signs (hand gestures and shapes), discarding a very important component: the non-manual signs (facial expressions and ...
We address the recognition of signs with both manual and non-manual components using a sequential belief-based fusion technique. ...
American Sign Language, British Sign Language, Turkish Sign Language, and French Sign Language are different sign languages used by corresponding communities of hearing-impaired people. ...
doi:10.1016/j.patcog.2008.09.010
fatcat:apaw7wqwc5fbjgjpk7wmgiu44i
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