22.4.2.8.1 Sign Language, General, Other Languages, Chinese, Arabic

Chapter Contents (Back)
Sign Language.

Kim, J.S., Jang, W., Bien, Z.N.[Zeung-Nam],
A Dynamic Gesture Recognition System for the Korean Sign Language (KSL),
SMC-B(26), No. 2, April 1996, pp. 354-359.
IEEE Top Reference. BibRef 9604

Tolba, A.S.,
Arabic Glove-Talk: A Communication Aid for Vocally Impaired,
PAA(1), No. 4, 1998, pp. 218-230. BibRef 9800

Al-Jarrah, O.[Omar], Halawani, A.[Alaa],
Recognition of gestures in Arabic sign language using neuro-fuzzy systems,
AI(133), No. 1-2, December 2001, pp. 117-138.
Elsevier DOI 0201
BibRef

Wu, C.H.[Chung-Hsien], Chiu, Y.H.[Yu-Hsien], Cheng, K.W.[Kung-Wei],
Error-tolerant sign retrieval using visual features and maximum a posteriori estimation,
PAMI(26), No. 4, April 2004, pp. 495-508.
IEEE Abstract. 0403
Retrieve sign words from Taiwanese Sign Language database. BibRef

Fang, G., Gao, W., Zhao, D.,
Large Vocabulary Sign Language Recognition Based on Fuzzy Decision Trees,
SMC-A(34), No. 3, May 2004, pp. 305-314.
IEEE Abstract. 0404
BibRef

Fang, G., Gao, W., Zhao, D.,
Large-Vocabulary Continuous Sign Language Recognition Based on Transition-Movement Models,
SMC-A(37), No. 1, January 2007, pp. 1-9.
IEEE DOI 0701
BibRef

Wang, C.L.[Chun-Li], Gao, W.[Wen], Shan, S.G.[Shi-Guang],
An Approach Based on Phonemes to Large Vocabulary Chinese Sign Language Recognition,
AFGR02(393-398).
IEEE DOI 0206
BibRef

Gao, W.[Wen], Wang, C.L.[Chun-Li], Wu, J.Q.[Jiang-Qin],
A Continuous Chinese Sign Language Recognition System,
AFGR00(428-433).
IEEE DOI 0003
BibRef

Gao, W.[Wen], Fang, G.L.[Gao-Lin], Zhao, D.B.[De-Bin], Chen, Y.Q.[Yi-Qiang],
A Chinese sign language recognition system based on SOFM/SRN/HMM,
PR(37), No. 12, December 2004, pp. 2389-2402.
Elsevier DOI 0409
BibRef

Gao, W.[Wen], Chen, Y.Q.[Yi-Qiang], Fang, G.L.[Gao-Lin], Yang, C.S.[Chang-Sui], Jiang, D.L.[Da-Long], Ge, C.B.[Chun-Bao], Wang, C.L.[Chun-Li],
HandTalker II: a Chinese sign language recognition and synthesis system,
ICARCV04(I: 759-764).
IEEE DOI 0412
BibRef

Wang, C.L.[Chun-Li], Chen, X.L.[Xi-Lin], Gao, W.[Wen],
A Comparison Between Etymon- and Word-Based Chinese Sign Language Recognition Systems,
GW05(84-87).
Springer DOI 0505
BibRef

Jiang, F.[Feng], Gao, W.[Wen], Yao, H.X.[Hong-Xun], Zhao, D.B.[De-Bin], Chen, X.L.[Xi-Lin],
Synthetic data generation technique in Signer-independent sign language recognition,
PRL(30), No. 5, 1 April 2009, pp. 513-524.
Elsevier DOI 0903
Signer-independent sign recognition; Synthetic data driving; Mean Shift; HMMs BibRef

Yin, F.[Fang], Chai, X.J.[Xiu-Juan], Chen, X.L.[Xi-Lin],
Iterative Reference Driven Metric Learning for Signer Independent Isolated Sign Language Recognition,
ECCV16(VII: 434-450).
Springer DOI 1611
BibRef

Yin, F.[Fang], Chai, X.J.[Xiu-Juan], Zhou, Y.[Yu], Chen, X.L.[Xi-Lin],
Weakly Supervised Metric Learning towards Signer Adaptation for Sign Language Recognition,
BMVC15(xx-yy).
DOI Link 1601
BibRef
And:
Semantics constrained dictionary learning for signer-independent sign language recognition,
ICIP15(3310-3314)
IEEE DOI 1512
Sparse coding BibRef

Wang, H.J.[Han-Jie], Chai, X.J.[Xiu-Juan], Zhou, Y.[Yu], Chen, X.L.[Xi-Lin],
Fast sign language recognition benefited from low rank approximation,
FG15(1-6)
IEEE DOI 1508
approximation theory BibRef

Lin, Y.S.[Yu-Shun], Chai, X.J.[Xiu-Juan], Zhou, Y.[Yu], Chen, X.L.[Xi-Lin],
Curve Matching from the View of Manifold for Sign Language Recognition,
FSLCV14(III: 233-246).
Springer DOI 1504
BibRef

Gao, W.[Wen], Fang, G.L.[Gao-Lin], Zhao, D.B.[De-Bin], Chen, Y.Q.[Yi-Qiang],
Transition movement models for large vocabulary continuous sign language recognition,
AFGR04(553-558).
IEEE DOI 0411
BibRef

Fang, G.L.[Gao-Lin], Gao, W.[Wen],
A SRN/HMM system for signer-independent continuous sign language recognition,
AFGR02(297-302).
IEEE DOI 0206
BibRef

Assaleh, K.[Khaled], Al-Rousan, M.,
Recognition of Arabic Sign Language Alphabet Using Polynomial Classifiers,
JASP(2005), No. 13, 2005, pp. 2136-2145.
WWW Link. 0603
BibRef

Shanableh, T., Assaleh, K., Al-Rousan, M.,
Spatio-Temporal Feature-Extraction Techniques for Isolated Gesture Recognition in Arabic Sign Language,
SMC-B(37), No. 3, June 2007, pp. 641-650.
IEEE DOI 0706
BibRef

Shanableh, T., Assaleh, K.,
Telescopic Vector Composition and Polar Accumulated Motion Residuals for Feature Extraction in Arabic Sign Language Recognition,
JIVP(2007), 2007, pp. xx-yy.
DOI Link 0804
BibRef

Holden, E.J.[Eun-Jung], Lee, G.[Gareth], Owens, R.A.[Robyn A.],
Australian sign language recognition,
MVA(16), No. 5, December 2005, pp. 312-320.
Springer DOI 0601
BibRef
Earlier:
Automatic Recognition of Colloquial Australian Sign Language,
Motion05(II: 183-188).
IEEE DOI 0502
BibRef
Earlier: A1, A3, Only:
Recognising moving hand shapes,
CIAP03(14-19).
IEEE DOI 0310
BibRef
Earlier:
Visual Sign Language Recognition,
WTRCV01(270). 0103

See also Dynamic Fingerspelling Recognition using Geometric and Motion Features. BibRef

Auephanwiriyakul, S.[Sansanee], Phitakwinai, S.[Suwannee], Suttapak, W.[Wattanapong], Chanda, P.[Phonkrit], Theera-Umpon, N.[Nipon],
Thai sign language translation using Scale Invariant Feature Transform and Hidden Markov Models,
PRL(34), No. 11, 1 August 2013, pp. 1291-1298.
Elsevier DOI 1306
Scale Invariant Feature Transform; Hidden Markov Models; Sign language; Hand gesture recognition BibRef

Agrawal, S.C.[Subhash Chand], Jalal, A.S.[Anand Singh], Bhatnagar, C.[Charul],
Redundancy removal for isolated gesture in Indian sign language and recognition using multi-class support vector machine,
IJCVR(4), No. 1-2, 2014, pp. 23-38.
DOI Link 1403
BibRef

Wang, L.C.[Li-Chun], Wang, R.[Ru], Kong, D.H.[De-Hui], Yin, B.C.[Bao-Cai],
Similarity Assessment Model for Chinese Sign Language Videos,
MultMed(16), No. 3, April 2014, pp. 751-761.
IEEE DOI 1405
image matching BibRef

Mohandes, M., Deriche, M., Liu, J.,
Image-Based and Sensor-Based Approaches to Arabic Sign Language Recognition,
HMS(44), No. 4, August 2014, pp. 551-557.
IEEE DOI 1407
Accuracy BibRef

Tubaiz, N., Shanableh, T., Assaleh, K.,
Glove-Based Continuous Arabic Sign Language Recognition in User-Dependent Mode,
HMS(45), No. 4, August 2015, pp. 526-533.
IEEE DOI 1506
Accuracy BibRef

Zbakh, M.[Mohammed], Haddad, Z.[Zehira], Krahe, J.L.[Jaime Lopez],
An online reversed French Sign Language dictionary based on a learning approach for signs classification,
PRL(67, Part 1), No. 1, 2015, pp. 28-38.
Elsevier DOI 1511
Human machine interface BibRef

Seddik, B.[Bassem], Gazzah, S.[Sami], Ben Amara, N.E.[Najoua Essoukri],
Human-action recognition using a multi-layered fusion scheme of Kinect modalities,
IET-CV(11), No. 7, October 2017, pp. 530-540.
DOI Link 1709
BibRef
Earlier:
Hybrid Multi-modal Fusion for Human Action Recognition,
ICIAR17(201-209).
Springer DOI 1706
BibRef
Earlier:
Modalities Combination for Italian Sign Language Extraction and Recognition,
CIAP15(II:710-721).
Springer DOI 1511
BibRef

Huang, S., Mao, C., Tao, J., Ye, Z.,
A Novel Chinese Sign Language Recognition Method Based on Keyframe-Centered Clips,
SPLetters(25), No. 3, March 2018, pp. 442-446.
IEEE DOI 1802
Adaptation models, Assistive technology, Feature extraction, Gesture recognition, Hidden Markov models, Task analysis, sign language recognition (SLR) BibRef

Joshi, G.[Garima], Vig, R.[Renu], Singh, S.[Sukhwinder],
DCA-based unimodal feature-level fusion of orthogonal moments for Indian sign language dataset,
IET-CV(12), No. 5, August 2018, pp. 570-577.
DOI Link 1807
BibRef

Koller, O.[Oscar], Zargaran, S.[Sepehr], Ney, H.[Hermann], Bowden, R.[Richard],
Deep Sign: Enabling Robust Statistical Continuous Sign Language Recognition via Hybrid CNN-HMMs,
IJCV(126), No. 12, December 2018, pp. 1311-1325.
Springer DOI 1811
BibRef
Earlier:
Deep Sign: Hybrid CNN-HMM for Continuous Sign Language Recognition,
BMVC16(xx-yy).
HTML Version. 1805

See also Read My Lips: Continuous Signer Independent Weakly Supervised Viseme Recognition. BibRef

Xie, L.X.[Ling-Xi], Zheng, L.[Liang], Koller, O.[Oscar], Ney, H.[Hermann], Bowden, R.[Richard],
Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data is Continuous and Weakly Labelled,
CVPR16(3793-3802)
IEEE DOI 1612
BibRef

Koller, O.[Oscar], Zargaran, S.[Sepehr], Ney, H.[Hermann],
Re-Sign: Re-Aligned End-to-End Sequence Modelling with Deep Recurrent CNN-HMMs,
CVPR17(3416-3424)
IEEE DOI 1711
Assistive technology, Gesture recognition, Hidden Markov models, Mathematical model, Speech recognition, Training BibRef

Elpeltagy, M.[Marwa], Abdelwahab, M.[Moataz], Hussein, M.E.[Mohamed E.], Shoukry, A.[Amin], Shoala, A.[Asmaa], Galal, M.[Moustafa],
Multi-modality-based Arabic sign language recognition,
IET-CV(12), No. 7, October 2018, pp. 1031-1039.
DOI Link 1809
BibRef

Wang, H., Chai, X., Chen, X.,
A Novel Sign Language Recognition Framework Using Hierarchical Grassmann Covariance Matrix,
MultMed(21), No. 11, November 2019, pp. 2806-2814.
IEEE DOI 1911
Covariance matrices, Hidden Markov models, Manifolds, Assistive technology, Feature extraction, Gesture recognition, sentence spotting BibRef

Guo, D., Zhou, W., Li, A., Li, H., Wang, M.,
Hierarchical Recurrent Deep Fusion Using Adaptive Clip Summarization for Sign Language Translation,
IP(29), 2020, pp. 1575-1590.
IEEE DOI 1911
Videos, Visualization, Semantics, Skeleton, Assistive technology, Gesture recognition, score fusion BibRef

Imran, J.[Javed], Raman, B.[Balasubramanian],
Deep motion templates and extreme learning machine for sign language recognition,
VC(36), No. 6, June 2020, pp. 1233-1246.
WWW Link. 2005
BibRef

Joshi, G.[Garima], Singh, S.[Sukhwinder], Vig, R.[Renu],
Taguchi-TOPSIS based HOG parameter selection for complex background sign language recognition,
JVCIR(71), 2020, pp. 102834.
Elsevier DOI 2009
Histogram of Oriented Gradients (HOG), Taguchi, TOPSIS, Sign Language Recognition System (SLRS), Complex background, Indian Sign Language (ISL) BibRef

Wei, C.C.[Cheng-Cheng], Zhao, J.[Jian], Zhou, W.G.[Wen-Gang], Li, H.Q.[Hou-Qiang],
Semantic Boundary Detection With Reinforcement Learning for Continuous Sign Language Recognition,
CirSysVideo(31), No. 3, March 2021, pp. 1138-1149.
IEEE DOI 2103
Semantics, Hidden Markov models, Assistive technology, Reinforcement learning, Gesture recognition, Task analysis, weakly supervised learning BibRef

Zhang, Z.H.[Zhi-Hao], Pu, J.F.[Jun-Fu], Zhuang, L.S.[Lian-Sheng], Zhou, W.G.[Wen-Gang], Li, H.Q.[Hou-Qiang],
Continuous Sign Language Recognition via Reinforcement Learning,
ICIP19(285-289)
IEEE DOI 1910
sign language recognition, reinforcement learning, self-critic BibRef

Rodriguez, J.[Jefferson], Martínez, F.[Fabio],
How important is motion in sign language translation?,
IET-CV(15), No. 3, 2021, pp. 224-234.
DOI Link 2106
BibRef

Suneetha, M., Prasad, M.V.D., Kishore, P.V.V.,
Multi-view motion modelled deep attention networks (M2DA-Net) for video based sign language recognition,
JVCIR(78), 2021, pp. 103161.
Elsevier DOI 2107
Multi view, Sign language recognition, Deep learning, Attention models, Motion modelled BibRef

Ferreira, P.M.[Pedro M.], Pernes, D.[Diogo], Rebelo, A.[Ana], Cardoso, J.S.[Jaime S.],
DeSIRe: Deep Signer-Invariant Representations for Sign Language Recognition,
SMCS(51), No. 9, September 2021, pp. 5830-5845.
IEEE DOI 2108
Assistive technology, Gesture recognition, Neural networks, Measurement, Auditory system, Task analysis, Hidden Markov models, variational autoencoders (VAEs) BibRef

Nihal, R.A.[Ragib Amin], Rahman, S.[Sejuti], Broti, N.M.[Nawara Mahmood], Deowan, S.A.[Shamim Ahmed],
Bangla Sign alphabet recognition with zero-shot and transfer learning,
PRL(150), 2021, pp. 84-93.
Elsevier DOI 2109
Bangla sign language, Deep learning, Recognition, Large dataset, Convolutional neural network BibRef

Zhang, S.J.[Shu-Jun], Zhang, Q.[Qun],
Sign language recognition based on global-local attention,
JVCIR(80), 2021, pp. 103280.
Elsevier DOI 2110
Sign language recognition, 3D convolution network, Global-local attention, Time series modeling BibRef

Joudaki, S.[Saba], Rehman, A.[Amjad],
Dynamic hand gesture recognition of sign language using geometric features learning,
IJCVR(12), No. 1, 2022, pp. 1-16.
DOI Link 2112
BibRef

Zhou, H.[Hao], Zhou, W.G.[Wen-Gang], Zhou, Y.[Yun], Li, H.Q.[Hou-Qiang],
Spatial-Temporal Multi-Cue Network for Sign Language Recognition and Translation,
MultMed(24), 2022, pp. 768-779.
IEEE DOI 2202
Assistive technology, Gesture recognition, Hidden Markov models, Shape, Optimization, Visualization, Tools, Multi-cue, pose estimation, sign language translation BibRef

Zheng, Z.W.[Zhi-Wen], Wang, Q.S.[Qing-Shan], Yang, D.J.[De-Jun], Wang, Q.[Qi], Huang, W.[Wei], Xu, Y.L.[Yin-Long],
L-Sign: Large-Vocabulary Sign Gestures Recognition System,
HMS(52), No. 2, April 2022, pp. 290-301.
IEEE DOI 2203
Assistive technologies, Gesture recognition, Sensors, Cameras, Auditory system, Gyroscopes, Sensor systems, Gesture, sign BibRef

Modanwal, G.[Gourav], Rai, S.B.[Shashi Bhushan], Jaiswal, A.[Aishwarya], Singh, T.[Tushar], Sarawadekar, K.[Kishor],
Can Visually Impaired Use Gestures to Interact With Computers? A Cognitive Load Perspective,
HMS(52), No. 2, April 2022, pp. 267-275.
IEEE DOI 2203
Task analysis, Particle measurements, Atmospheric measurements, Visualization, Time factors, Keyboards, Standards, Braille, visually impaired BibRef

Adaloglou, N.[Nikolas], Chatzis, T.[Theocharis], Papastratis, I.[Ilias], Stergioulas, A.[Andreas], Papadopoulos, G.T.[Georgios Th.], Zacharopoulou, V.[Vassia], Xydopoulos, G.J.[George J.], Atzakas, K.[Klimnis], Papazachariou, D.[Dimitris], Daras, P.[Petros],
A Comprehensive Study on Deep Learning-Based Methods for Sign Language Recognition,
MultMed(24), No. 2022, pp. 1750-1762.
IEEE DOI 2204
Feature extraction, Hidden Markov models, Assistive technology, Task analysis, Gesture recognition, Training, conditional entropy CTC BibRef

Han, X.Z.[Xiang-Zu], Lu, F.[Fei], Yin, J.Q.[Jian-Qin], Tian, G.H.[Guo-Hui], Liu, J.[Jun],
Sign Language Recognition Based on R(2+1)D With Spatial-Temporal-Channel Attention,
HMS(52), No. 4, August 2022, pp. 687-698.
IEEE DOI 2208
Convolution, Feature extraction, Videos, Hidden Markov models, Gesture recognition, Task analysis, Spatiotemporal phenomena, sign language recognition (SLR) BibRef

Abdelouahed, S.M.[Sabri My], Meryem, C.[Cherrate], Ali, Y.[Yahyaouy], Abdellah, A.[Aarab],
Moroccan sign language recognition based on machine learning,
ISCV22(1-5)
IEEE DOI 2208
Shape, Simulation, Sociology, Gesture recognition, Auditory system, Machine learning, Assistive technologies, Sign language, image classification BibRef

Xie, P.[Pan], Zhao, M.Y.[Meng-Yi], Hu, X.H.[Xiao-Hui],
PiSLTRc: Position-Informed Sign Language Transformer With Content-Aware Convolution,
MultMed(24), 2022, pp. 3908-3919.
IEEE DOI 2208
Assistive technology, Gesture recognition, Convolution, Encoding, Natural languages, Semantics, Annotations, relative position encoding BibRef

Zhou, Z.X.[Zhen-Xing], Tam, V.W.L.[Vincent W.L.], Lam, E.Y.[Edmund Y.],
A Cross-Attention BERT-Based Framework for Continuous Sign Language Recognition,
SPLetters(29), 2022, pp. 1818-1822.
IEEE DOI 2209
Feature extraction, Bit error rate, Weight control, Data mining, Assistive technologies, Training, Gesture recognition, bidirectional encoder representations from transformers BibRef

Tang, S.[Shengeng], Guo, D.[Dan], Hong, R.C.[Ri-Chang], Wang, M.[Meng],
Graph-Based Multimodal Sequential Embedding for Sign Language Translation,
MultMed(24), 2022, pp. 4433-4445.
IEEE DOI 2212
Feature extraction, Task analysis, Assistive technologies, Skeleton, Hidden Markov models, Gesture recognition, Decoding, multimodal sequential fusion BibRef

Bilge, Y.C.[Yunus Can], Cinbis, R.G.[Ramazan Gokberk], Ikizler-Cinbis, N.[Nazli],
Towards Zero-Shot Sign Language Recognition,
PAMI(45), No. 1, January 2023, pp. 1217-1232.
IEEE DOI 2212
Assistive technologies, Gesture recognition, Hidden Markov models, Videos, Semantics, Visualization, zero-shot learning BibRef

Xie, P.[Pan], Cui, Z.[Zhi], Du, Y.[Yao], Zhao, M.[Mengyi], Cui, J.W.[Jian-Wei], Wang, B.[Bin], Hu, X.H.[Xiao-Hui],
Multi-scale local-temporal similarity fusion for continuous sign language recognition,
PR(136), 2023, pp. 109233.
Elsevier DOI 2301
Sign language recognition, Temporal similarity, Content-aware feature selector, Position-aware convolution, Content-dependent aggregator BibRef

Cherian, D.M.[Dona Mary], Fernandez, J.J.[Jincy J.],
Real-time sign language recognition and speech conversion using VGG16,
IJCVR(13), No. 2, 2023, pp. 174-185.
DOI Link 2303
BibRef

Zhang, L.[Lizao], Tian, Q.H.[Qiu-Hong], Ruan, Q.L.[Qiong-Lu], Shi, Z.X.[Zhi-Xiang],
A simple and effective static gesture recognition method based on attention mechanism,
JVCIR(92), 2023, pp. 103783.
Elsevier DOI 2303
Sign language recognition, Deep learning, Attention mechanism BibRef

Shi, Q.[Qi], Ye, Z.F.[Zhong-Fu], Wang, J.[Jin], Zhang, Y.Y.[Yue-Yi],
QISampling: An Effective Sampling Strategy for Event-Based Sign Language Recognition,
SPLetters(30), 2023, pp. 768-772.
IEEE DOI 2307
Cameras, Monitoring, Gesture recognition, Brightness, Assistive technologies, Training, Neural networks, Dataset, sign language recognition BibRef

Hu, H.Z.[He-Zhen], Zhao, W.C.[Wei-Chao], Zhou, W.G.[Wen-Gang], Li, H.Q.[Hou-Qiang],
SignBERT+: Hand-Model-Aware Self-Supervised Pre-Training for Sign Language Understanding,
PAMI(45), No. 9, September 2023, pp. 11221-11239.
IEEE DOI 2309
BibRef

Hu, H.Z.[He-Zhen], Zhao, W.C.[Wei-Chao], Zhou, W.G.[Wen-Gang], Wang, Y.C.[Yue-Chen], Li, H.Q.[Hou-Qiang],
SignBERT: Pre-Training of Hand-Model-Aware Representation for Sign Language Recognition,
ICCV21(11067-11076)
IEEE DOI 2203
Visualization, Soft sensors, Gesture recognition, Benchmark testing, Assistive technologies, Transformers, Vision + language BibRef

Chaudhary, L.[Lipisha], Ananthanarayana, T.[Tejaswini], Hoq, E.[Enjamamul], Nwogu, I.[Ifeoma],
SignNet II: A Transformer-Based Two-Way Sign Language Translation Model,
PAMI(45), No. 11, November 2023, pp. 12896-12907.
IEEE DOI 2310
BibRef
Earlier: A2, A1, A4, Only:
SignNet: Single Channel Sign Generation using Metric Embedded Learning,
FG23(1-7)
IEEE DOI 2303
Measurement, Analytical models, Visualization, Face recognition, Assistive technologies BibRef

Kim, J.[Jungeun], Kim, H.Y.[Ha Young],
CSLT-AK: Convolutional-embedded transformer with an action tokenizer and keypoint emphasizer for sign language translation,
PRL(173), 2023, pp. 115-122.
Elsevier DOI 2310
Sign language translation, Tokenization, Human keypoint estimation, Transformer, Sequence-to-sequence BibRef

Hu, H.[Hezhen], Pu, J.[Junfu], Zhou, W.G.[Wen-Gang], Li, H.Q.[Hou-Qiang],
Collaborative Multilingual Continuous Sign Language Recognition: A Unified Framework,
MultMed(25), 2023, pp. 7559-7570.
IEEE DOI 2311
BibRef

Hu, L.[Lianyu], Gao, L.Q.[Li-Qing], Liu, Z.[Zekang], Feng, W.[Wei],
Scalable frame resolution for efficient continuous sign language recognition,
PR(145), 2024, pp. 109903.
Elsevier DOI 2311
Continuous sign language recognition, Efficient inference, Scalable frame resolution, Adaptive inference BibRef

Singh, S.[Shaminder], Gupta, A.K.[Anuj Kumar], Arora, T.[Tanvi],
A Review of Machine Learning-Based Recognition of Sign Language,
IJIG(23), No. 6 2023, pp. 2350051.
DOI Link 2312
BibRef

Hu, H.[Hezhen], Pu, J.[Junfu], Zhou, W.G.[Wen-Gang], Fang, H.[Hang], Li, H.Q.[Hou-Qiang],
Prior-Aware Cross Modality Augmentation Learning for Continuous Sign Language Recognition,
MultMed(26), 2024, pp. 593-606.
IEEE DOI 2402
Assistive technologies, Visualization, Measurement, Decoding, Hidden Markov models, Gesture recognition, Task analysis, ontinuous sign language recognition BibRef

Yin, W.J.[Wen-Jie], Hou, Y.H.[Yong-Hong], Guo, Z.[Zihui], Liu, K.[Kailin],
Spatial-Temporal Enhanced Network for Continuous Sign Language Recognition,
CirSysVideo(34), No. 3, March 2024, pp. 1684-1695.
IEEE DOI 2403
Feature extraction, Videos, Assistive technologies, Visualization, Gesture recognition, Data mining, Task analysis, sequence learning BibRef


Jiao, P.Q.[Pei-Qi], Min, Y.C.[Yue-Cong], Li, Y.[Yanan], Wang, X.T.[Xiao-Tao], Lei, L.[Lei], Chen, X.L.[Xi-Lin],
CoSign: Exploring Co-occurrence Signals in Skeleton-based Continuous Sign Language Recognition,
ICCV23(20619-20629)
IEEE DOI 2401
BibRef

Lee, T.[Taeryung], Oh, Y.[Yeonguk], Lee, K.M.[Kyoung Mu],
Human Part-wise 3D Motion Context Learning for Sign Language Recognition,
ICCV23(20683-20693)
IEEE DOI 2401
BibRef

Zhang, H.W.[Huai-Wen], Guo, Z.[Zihang], Yang, Y.[Yang], Liu, X.[Xin], Hu, D.[De],
C2ST: Cross-modal Contextualized Sequence Transduction for Continuous Sign Language Recognition,
ICCV23(20996-21005)
IEEE DOI 2401
BibRef

Wei, F.Y.[Fang-Yun], Chen, Y.T.[Yu-Tong],
Improving Continuous Sign Language Recognition with Cross-Lingual Signs,
ICCV23(23555-23564)
IEEE DOI 2401
BibRef

Sincan, O.M.[Ozge Mercanoglu], Camgoz, N.C.[Necati Cihan], Bowden, R.[Richard],
Is context all you need? Scaling Neural Sign Language Translation to Large Domains of Discourse,
ACVR23(1947-1957)
IEEE DOI 2401
BibRef

Holmes, R.[Ruth], Rushe, E.[Ellen], de Coster, M.[Mathieu], Bonnaerens, M.[Maxim], Satoh, S.[Shin'Ichi], Sugimoto, A.[Akihiro], Ventresque, A.[Anthony],
From Scarcity to Understanding: Transfer Learning for the Extremely Low Resource Irish Sign Language,
ACVR23(2000-2009)
IEEE DOI 2401
BibRef

de Avellar-Sarmento, A.H.[Amanda Hellen], Ponti, M.A.[Moacir Antonelli],
A Cross-Dataset Study on the Brazilian Sign Language Translation,
CLVL23(2808-2812)
IEEE DOI 2401
BibRef

Sarhan, N.[Noha], Frintrop, S.[Simone],
Unraveling a Decade: A Comprehensive Survey on Isolated Sign Language Recognition,
AMFG23(3202-3211)
IEEE DOI 2401
BibRef

Yao, H.J.[Hui-Jie], Zhou, W.G.[Wen-Gang], Feng, H.[Hao], Hu, H.[Hezhen], Zhou, H.[Hao], Li, H.Q.[Hou-Qiang],
Sign Language Translation with Iterative Prototype,
ICCV23(15546-15555)
IEEE DOI 2401
BibRef

Voskou, A.[Andreas], Panousis, K.P.[Konstantinos P.], Partaourides, H.[Harris], Tolias, K.[Kyriakos], Chatzis, S.[Sotirios],
A New Dataset for End-to-End Sign Language Translation: The Greek Elementary School Dataset,
ACVR23(1958-1967)
IEEE DOI 2401
BibRef

Zhou, B.[Benjia], Chen, Z.G.[Zhi-Gang], Clapés, A.[Albert], Wan, J.[Jun], Liang, Y.Y.[Yan-Yan], Escalera, S.[Sergio], Lei, Z.[Zhen], Zhang, D.[Du],
Gloss-free Sign Language Translation: Improving from Visual-Language Pretraining,
ICCV23(20814-20824)
IEEE DOI 2401
BibRef

Fabris, V.L.[Vitor Lopes], de Castro-Bastos, F.[Felype], Matsuki-de Faria, A.C.A.[Ana Claudia Akemi], Alves-da Silva, J.V.N.[José Victor Nogueira], Luiz, P.A.[Pedro Augusto], Silva, R.C.[Rafael Custódio], de Paris, R.[Renata], Gonçalves-dos Santos, C.F.[Claudio Filipi],
Efficient Brazilian Sign Language Recognition: A Study on Mobile Devices,
CIARP23(I:406-419).
Springer DOI 2312
BibRef

Bicego, M.[Manuele], Vázquez-Enríquez, M.[Manuel], Alba-Castro, J.L.[José L.],
Active Class Selection for Dataset Acquisition in Sign Language Recognition,
CIAP23(I:304-315).
Springer DOI 2312
BibRef

Sarhan, N.[Noha], Willruth, J.M.[Jan M.], Fritnrop, S.[Simone],
Pseudodepth-SLR: Generating Depth Data for Sign Language Recognition,
CVS23(51-62).
Springer DOI 2312
BibRef

Kapitanov, A.[Alexander], Karina, K.[Kvanchiani], Nagaev, A.[Alexander], Elizaveta, P.[Petrova],
Slovo: Russian Sign Language Dataset,
CVS23(63-73).
Springer DOI 2312
BibRef

Shafique, Z.[Zoya], Wang, H.Y.[Hai-Yan], Tian, Y.L.[Ying-Li],
Nonverbal Communication Cue Recognition: A Pathway to More Accessible Communication,
WiCV23(5666-5674)
IEEE DOI 2309
BibRef

Tarrés, L.[Laia], Gállego, G.I.[Gerard I.], Duarte, A.[Amanda], Torres, J.[Jordi], Giró-i-Nieto, X.[Xavier],
Sign Language Translation from Instructional Videos,
WiCV23(5625-5635)
IEEE DOI 2309
BibRef

Guo, L.[Leming], Xue, W.L.[Wan-Li], Guo, Q.[Qing], Liu, B.[Bo], Zhang, K.[Kaihua], Yuan, T.T.[Tian-Tian], Chen, S.Y.[Sheng-Yong],
Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition,
CVPR23(10771-10780)
IEEE DOI 2309
BibRef

Zuo, R.[Ronglai], Wei, F.Y.[Fang-Yun], Mak, B.[Brian],
Natural Language-Assisted Sign Language Recognition,
CVPR23(14890-14900)
IEEE DOI 2309
BibRef

Cheng, Y.T.[Yi-Ting], Wei, F.Y.[Fang-Yun], Bao, J.M.[Jian-Min], Chen, D.[Dong], Zhang, W.Q.[Wen-Qiang],
CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning,
CVPR23(19016-19026)
IEEE DOI 2309
BibRef

Arkushin, R.S.[Rotem Shalev], Moryossef, A.[Amit], Fried, O.[Ohad],
Ham2Pose: Animating Sign Language Notation into Pose Sequences,
CVPR23(21046-21056)
IEEE DOI 2309
BibRef

Zheng, J.B.[Jiang-Bin], Wang, Y.[Yile], Tan, C.[Cheng], Li, S.Y.[Si-Yuan], Wang, G.[Ge], Xia, J.[Jun], Chen, Y.D.[Yi-Dong], Li, S.Z.[Stan Z.],
CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment,
CVPR23(23141-23150)
IEEE DOI 2309
BibRef

Laines, D.[David], Gonzalez-Mendoza, M.[Miguel], Ochoa-Ruiz, G.[Gilberto], Bejarano, G.[Gissella],
Isolated Sign Language Recognition based on Tree Structure Skeleton Images,
LXCV23(276-284)
IEEE DOI 2309
BibRef

Yin, A.[Aoxiong], Zhong, T.Y.[Tian-Yun], Tang, L.[Li], Jin, W.[Weike], Jin, T.[Tao], Zhao, Z.[Zhou],
Gloss Attention for Gloss-free Sign Language Translation,
CVPR23(2551-2562)
IEEE DOI 2309
BibRef

Hu, L.[Lianyu], Gao, L.Q.[Li-Qing], Liu, Z.[Zekang], Feng, W.[Wei],
Continuous Sign Language Recognition with Correlation Network,
CVPR23(2529-2539)
IEEE DOI 2309
BibRef

Liu, L.D.[Lan-Dong], Zhou, W.G.[Wen-Gang], Zhao, W.C.[Wei-Chao], Hu, H.[Hezhen], Li, H.Q.[Hou-Qiang],
Multi-modal Sign Language Spotting by Multi/one-shot Learning,
SignLang22(256-270).
Springer DOI 2304
BibRef

Enríquez, M.V.[Manuel Vázquez], Castro, J.L.A.[José L. Alba], Fernandez, L.D.[Laura Docio], Junior, J.C.S.J.[Julio C. S. Jacques], Escalera, S.[Sergio],
ECCV 2022 Sign Spotting Challenge: Dataset, Design and Results,
SignLang22(225-242).
Springer DOI 2304
BibRef

Wong, R.[Ryan], Camgöz, N.C.[Necati Cihan], Bowden, R.[Richard],
Hierarchical I3d for Sign Spotting,
SignLang22(243-255).
Springer DOI 2304
BibRef

Fu, H.Y.[Hong-Yu], Liu, C.[Chen], Qi, X.Q.[Xing-Qun], Lin, B.B.[Bei-Bei], Li, L.[Lincheng], Zhang, L.[Li], Yu, X.[Xin],
Sign Spotting via Multi-modal Fusion and Testing Time Transferring,
SignLang22(271-287).
Springer DOI 2304
BibRef

Sarhan, N.[Noha], Wilms, C.[Christian], Closius, V.[Vanessa], Brefeld, U.[Ulf], Frintrop, S.[Simone],
Hands in Focus: Sign Language Recognition Via Top-Down Attention,
ICIP23(2555-2559)
IEEE DOI 2312
BibRef

Sarhan, N.[Noha], Frintrop, S.[Simone],
Sign, Attend and Tell: Spatial Attention for Sign Language Recognition,
FG21(1-8)
IEEE DOI 2303
Training, Solid modeling, Face recognition, Gesture recognition, Assistive technologies, Streaming media BibRef

Ham, S.[Soomin], Park, K.[Kibaek], Jang, Y.[YeongJun], Oh, Y.[Youngtaek], Yun, S.[Seokmin], Yoon, S.W.[Suk-Won], Kim, C.J.[Chang Jo], Park, H.M.[Han-Mu], Kweon, I.S.[In So],
KSL-Guide: A Large-scale Korean Sign Language Dataset Including Interrogative Sentences for Guiding the Deaf and Hard-of-Hearing,
FG21(1-8)
IEEE DOI 2303
Training, Face recognition, Neural networks, Training data, Prototypes, Gesture recognition BibRef

Luqman, H.[Hamzah],
ArabSign: A Multi-modality Dataset and Benchmark for Continuous Arabic Sign Language Recognition,
FG23(1-8)
IEEE DOI 2303
Image color analysis, Error analysis, Face recognition, Europe, Gesture recognition, Assistive technologies, Benchmark testing BibRef

Bohacek, M.[Matyáš], Hrúz, M.[Marek],
Learning from What is Already Out There: Few-shot Sign Language Recognition with Online Dictionaries,
FG23(1-6)
IEEE DOI 2303
Training, Location awareness, Dictionaries, Face recognition, Transfer learning, Gesture recognition, Assistive technologies BibRef

Han, Y.M.[Yi-Ming], Fan, X.[Xiaocong], Bhosale, R.[Radhika], Sundaram, R.[Ramakrishnan], Liaw, J.[Jonathan],
Fusion-based Spatiotemporal Convolutions with Constant Temporal Snapshots for Sign Language Recognition,
FG21(01-08)
IEEE DOI 2303
Face recognition, Gesture recognition, Auditory system, Assistive technologies, Spatiotemporal phenomena BibRef

Camgöz, N.C.[Necati Cihan], Saunders, B.[Ben], Rochette, G.[Guillaume], Giovanelli, M.[Marco], Inches, G.[Giacomo], Nachtrab-Ribback, R.[Robin], Bowden, R.[Richard],
Content4All Open Research Sign Language Translation Datasets,
FG21(1-5)
IEEE DOI 2303
Face recognition, Weather forecasting, Prototypes, Gesture recognition, Production BibRef

Takayama, N.[Natsuki], Benitez-Garcia, G.[Gibran], Takahashi, H.[Hiroki],
Masked Batch Normalization to Improve Tracking-Based Sign Language Recognition Using Graph Convolutional Networks,
FG21(1-5)
IEEE DOI 2303
Training, Degradation, Deep learning, Convolution, Face recognition, Neural networks BibRef

Gao, Y.[Ye], Hu, R.X.[Rui-Xiang], Ma, T.[Tian], Guo, S.Y.[Song-Yi], Yang, Y.Z.[Yi-Zhou], Zhou, X.L.[Xin-Lei],
Dynamic Sign Language Recognition Based on Improved R(2+1)D Algorithm,
ICIVC22(7-15)
IEEE DOI 2301
Wavelet transforms, Training, Solid modeling, Image recognition, Convolution, Heuristic algorithms, sign language recognition, deep learning BibRef

Min, Y.C.[Yue-Cong], Jiao, P.Q.[Pei-Qi], Li, Y.[Yanan], Wang, X.T.[Xiao-Tao], Lei, L.[Lei], Chai, X.J.[Xiu-Juan], Chen, X.L.[Xi-Lin],
Deep Radial Embedding for Visual Sequence Learning,
ECCV22(VI:240-256).
Springer DOI 2211
BibRef

Mino, A.[Ajkel], Popa, M.[Mirela], Briassouli, A.[Alexia],
The Effect of Spatial and Temporal Occlusion on Word Level Sign Language Recognition,
ICIP22(2686-2690)
IEEE DOI 2211
Training, Image recognition, Semantics, Focusing, Gesture recognition, Assistive technologies, Video Transformer Network BibRef

Momeni, L.[Liliane], Bull, H.[Hannah], Prajwal, K.R., Albanie, S.[Samuel], Varol, G.[Gül], Zisserman, A.[Andrew],
Automatic Dense Annotation of Large-Vocabulary Sign Language Videos,
ECCV22(XXXV:671-690).
Springer DOI 2211
BibRef

Hu, L.[Lianyu], Gao, L.Q.[Li-Qing], Liu, Z.[Zekang], Feng, W.[Wei],
Temporal Lift Pooling for Continuous Sign Language Recognition,
ECCV22(XXXV:511-527).
Springer DOI 2211
BibRef

Zuo, R.[Ronglai], Mak, B.[Brian],
C2SLR: Consistency-enhanced Continuous Sign Language Recognition,
CVPR22(5121-5130)
IEEE DOI 2210
Training, Heating systems, Visualization, Computational modeling, Gesture recognition, Assistive technologies, Vision + language, Video analysis and understanding BibRef

Saunders, B.[Ben], Camgoz, N.C.[Necati Cihan], Bowden, R.[Richard],
Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production,
CVPR22(5131-5141)
IEEE DOI 2210
Measurement, Vocabulary, Dictionaries, Gesture recognition, Production, Assistive technologies, Skeleton, Vision + language BibRef

Duarte, A.[Amanda], Albanie, S.[Samuel], Giró-I-Nieto, X.[Xavier], Varol, G.[Gül],
Sign Language Video Retrieval with Free-Form Textual Queries,
CVPR22(14074-14084)
IEEE DOI 2210
Terminology, Natural languages, Training data, Gesture recognition, Assistive technologies, Search problems, Recognition: detection, Vision + language BibRef

Radhakrishnan, S.[Srijith], Mohan, N.C.[Nikhil C], Varma, M.[Manisimha], Varma, J.[Jaithra], Pai, S.N.[Smitha N],
Cross Transferring Activity Recognition to Word Level Sign Language Detection,
ABAW22(2445-2452)
IEEE DOI 2210
Conferences, Transfer learning, Lighting, Gesture recognition, Computer architecture, Assistive technologies BibRef

Chen, Y.T.[Yu-Tong], Wei, F.Y.[Fang-Yun], Sun, X.[Xiao], Wu, Z.R.[Zhi-Rong], Lin, S.[Stephen],
A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation,
CVPR22(5110-5120)
IEEE DOI 2210
Training, Visualization, Machine vision, Transfer learning, Gesture recognition, Assistive technologies, Vision + language, Vision applications and systems BibRef

Yin, A.X.[Ao-Xiong], Zhao, Z.[Zhou], Jin, W.[Weike], Zhang, M.[Meng], Zeng, X.S.[Xing-Shan], He, X.F.[Xiao-Fei],
MLSLT: Towards Multilingual Sign Language Translation,
CVPR22(5099-5109)
IEEE DOI 2210
Buildings, Gesture recognition, Assistive technologies, Logic gates, Routing, Task analysis, Vision + language, Video analysis and understanding BibRef

Saunders, B.[Ben], Camgoz, N.C.[Necati Cihan], Bowden, R.[Richard],
Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives,
ICCV21(1899-1909)
IEEE DOI 2203
Training, Shape, Gesture recognition, Production, Computer architecture, Assistive technologies, Phonetics, BibRef

Min, Y.C.[Yue-Cong], Hao, A.M.[Ai-Ming], Chai, X.J.[Xiu-Juan], Chen, X.L.[Xi-Lin],
Visual Alignment Constraint for Continuous Sign Language Recognition,
ICCV21(11522-11531)
IEEE DOI 2203
Training, Measurement, Visualization, Image recognition, Costing, Gesture recognition, Assistive technologies, Action and behavior recognition BibRef

Bull, H.[Hannah], Afouras, T.[Triantafyllos], Varol, G.[Gül], Albanie, S.[Samuel], Momeni, L.[Liliane], Zisserman, A.[Andrew],
Aligning Subtitles in Sign Language Videos,
ICCV21(11532-11541)
IEEE DOI 2203
Training, TV, Gesture recognition, Assistive technologies, Predictive models, Transformers, Machine translation, Vision + language BibRef

Hao, A.M.[Ai-Ming], Min, Y.C.[Yue-Cong], Chen, X.L.[Xi-Lin],
Self-Mutual Distillation Learning for Continuous Sign Language Recognition,
ICCV21(11283-11292)
IEEE DOI 2203
Training, Deep learning, Visualization, Gesture recognition, Assistive technologies, Benchmark testing, Action and behavior recognition BibRef

Kan, J.[Jichao], Hu, K.[Kun], Hagenbuchner, M.[Markus], Tsoi, A.C.[Ah Chung], Bennamoun, M.[Mohammed], Wang, Z.Y.[Zhi-Yong],
Sign Language Translation with Hierarchical Spatio-Temporal Graph Neural Network,
WACV22(2131-2140)
IEEE DOI 2202
Deep learning, Visualization, Gesture recognition, Assistive technologies, Transformers, Graph neural networks, Multimedia Applications Deep Learning BibRef

Bohácek, M.[Matyáš], Hrúz, M.[Marek],
Sign Pose-based Transformer for Word-level Sign Language Recognition,
Activity22(182-191)
IEEE DOI 2202
Training, Visualization, Computational modeling, Gesture recognition, Assistive technologies, Transformers, Data models BibRef

Ferreira, D.[Dominic], Haworth, B.[Brandon],
DeepSolfčge: Recognizing Solfčge Hand Signs Using Convolutional Neural Networks,
ISVC21(I:39-50).
Springer DOI 2112
BibRef

Krishna, S.[Shyam], Vignesh, P.V.[P. Vijay], Babu, J.D.[J. Dinesh],
SignPose: Sign Language Animation Through 3D Pose Lifting,
XSAnim21(2640-2649)
IEEE DOI 2112
Solid modeling, Computational modeling, Quaternions, Pose estimation, Computer architecture BibRef

Ng, E.[Evonne], Ginosar, S.[Shiry], Darrell, T.J.[Trevor J.], Joo, H.[Hanbyul],
Body2Hands: Learning to Infer 3D Hands from Conversational Gesture Body Dynamics,
CVPR21(11860-11869)
IEEE DOI 2111
Solid modeling, Shape, Pose estimation, Dynamics, Training data, Predictive models BibRef

Zhou, H.[Hao], Zhou, W.G.[Wen-Gang], Qi, W.Z.[Wei-Zhen], Pu, J.[Junfu], Li, H.Q.[Hou-Qiang],
Improving Sign Language Translation with Monolingual Data by Sign Back-Translation,
CVPR21(1316-1325)
IEEE DOI 2111
Training, Annotations, Splicing, Pipelines, Training data, Gesture recognition BibRef

Varol, G.[Gül], Momeni, L.[Liliane], Albanie, S.[Samuel], Afouras, T.[Triantafyllos], Zisserman, A.[Andrew],
Read and Attend: Temporal Localisation in Sign Language Videos,
CVPR21(16852-16861)
IEEE DOI 2111
Training, Vocabulary, Annotations, Computational modeling, Gesture recognition, Assistive technologies, Benchmark testing BibRef

Pereyra, E.R.H.[Eric Raphael Huiza], Poggi, C.A.O.[César Augusto Olivares],
Talking with signs A simple method to detect nouns and numbers in a non-annotated signs language corpus,
LXCV21(1212-1220)
IEEE DOI 2109
Training, Visualization, Stimulated emission, Assistive technology, Pipelines, Transfer learning, Image annotation BibRef

Renz, K.[Katrin], Stache, N.C.[Nicolaj C.], Fox, N.[Neil], Varol, G.[Gül], Albanie, S.[Samuel],
Sign Segmentation with Changepoint-Modulated Pseudo-Labelling,
ChaLearn21(3398-3407)
IEEE DOI 2109
Training, Adaptation models, Assistive technology, Motion segmentation, Gesture recognition, Data models BibRef

Jiang, S.Y.[Song-Yao], Sun, B.[Bin], Wang, L.C.[Li-Chen], Bai, Y.[Yue], Li, K.[Kunpeng], Fu, Y.[Yun],
Skeleton Aware Multi-modal Sign Language Recognition,
ChaLearn21(3408-3418)
IEEE DOI 2109
Convolution, Annotations, Assistive technology, Neural networks, Gesture recognition, Detectors BibRef

Gruber, I.[Ivan], Krnoul, Z.[Zdenek], Hrúz, M.[Marek], Kanis, J.[Jakub], Bohácek, M.[Matyáš],
Mutual Support of Data Modalities in the Task of Sign Language Recognition,
ChaLearn21(3419-3428)
IEEE DOI 2109
Visualization, Assistive technology, Computational modeling, Semantics, Gesture recognition BibRef

Moryossef, A.[Amit], Tsochantaridis, I.[Ioannis], Dinn, J.[Joe], Camgöz, N.C.[Necati Cihan], Bowden, R.[Richard], Jiang, T.[Tao], Rios, A.[Annette], Müller, M.[Mathias], Ebling, S.[Sarah],
Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition,
ChaLearn21(3429-3435)
IEEE DOI 2109
Analytical models, Visualization, Assistive technology, Face recognition, Pose estimation BibRef

de Coster, M.[Mathieu], van Herreweghe, M.[Mieke], Dambre, J.[Joni],
Isolated Sign Recognition from RGB Video using Pose Flow and Self-Attention,
ChaLearn21(3436-3445)
IEEE DOI 2109
Analytical models, Shape, Assistive technology, Computational modeling, Gesture recognition, Computer architecture BibRef

Rastgoo, R.[Razieh], Kiani, K.[Kourosh], Escalera, S.[Sergio], Sabokrou, M.[Mohammad],
Sign Language Production: A Review,
ChaLearn21(3446-3456)
IEEE DOI 2109
Deep learning, Assistive technology, Buildings, Gesture recognition, Production BibRef

Vázquez-Enríquez, M.[Manuel], Alba-Castro, J.L.[José L.], Docío-Fernández, L.[Laura], Rodríguez-Banga, E.[Eduardo],
Isolated Sign Language Recognition with Multi-Scale Spatial-Temporal Graph Convolutional Networks,
ChaLearn21(3457-3466)
IEEE DOI 2109
Fuses, Convolution, Assistive technology, Computational modeling, Transfer learning BibRef

Sincan, O.M.[Ozge Mercanoglu], Jacques, J.C.S.[Julio C. S.], Escalera, S.[Sergio], Keles, H.Y.[Hacer Yalim],
ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research,
ChaLearn21(3467-3476)
IEEE DOI 2109
Tracking, Assistive technology, Computational modeling, Transfer learning, Semantics, Gesture recognition BibRef

Hosain, A.A.[Al Amin], Santhalingam, P.S.[Panneer Selvam], Pathak, P.[Parth], Rangwala, H.[Huzefa], Košecká, J.[Jana],
Hand Pose Guided 3D Pooling for Word-level Sign Language Recognition,
WACV21(3428-3438)
IEEE DOI 2106
Shape, Assistive technology, Training data, Gesture recognition, Performance gain, Feature extraction BibRef

Tunga, A.[Anirudh], Nuthalapati, S.V.[Sai Vidyaranya], Wachs, J.[Juan],
Pose-based Sign Language Recognition using GCN and BERT,
WACVW21(31-40) Human Behavior Understanding
IEEE DOI 2105
Assistive technology, Bit error rate, Gesture recognition, Computer architecture, Predictive models BibRef

Li, Y.Z.[Yun-Zhe], Zheng, H.[Hui], Zhu, H.[He], Ai, H.J.[Hao-Jun], Dong, X.W.[Xiao-Wei],
Cross-People Mobile-Phone Based Airwriting Character Recognition,
ICPR21(3027-3033)
IEEE DOI 2105
Performance evaluation, Training, Atmospheric modeling, Transfer learning, Training data, Writing, Semisupervised learning, Human document interaction BibRef

Zhou, Z.X.[Zhen-Xing], Lui, K.S.[King-Shan], Tam, V.W.L.[Vincent W.L.], Lam, E.Y.[Edmund Y.],
Applying (3+2+1)D Residual Neural Network with Frame Selection for Hong Kong Sign Language Recognition,
ICPR21(4296-4302)
IEEE DOI 2105
Deep learning, Solid modeling, Laplace equations, Assistive technology, Gesture recognition, Video Recognition BibRef

Runkel, C.[Christina], Dorenkamp, S.[Stefan], Bauermeister, H.[Hartmut], Moeller, M.[Michael],
Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction,
ICPR21(5246-5253)
IEEE DOI 2105
Training, Systematics, Assistive technology, Semantics, Transfer learning, Training data, Gesture recognition BibRef

Ben Slimane, F.[Fares], Bouguessa, M.[Mohamed],
Context Matters: Self-Attention for Sign Language Recognition,
ICPR21(7884-7891)
IEEE DOI 2105
Assistive technology, Face recognition, Aggregates, Gesture recognition, Benchmark testing, Data models, Synchronization BibRef

Koishybay, K.[Kenessary], Mukushev, M.[Medet], Sandygulova, A.[Anara],
Continuous Sign Language Recognition with Iterative Spatiotemporal Fine-tuning,
ICPR21(10211-10218)
IEEE DOI 2105
Training, Image segmentation, Assistive technology, Neural networks, Optimization methods, Gesture recognition, Vision and language BibRef

Partaourides, H.[Harris], Voskou, A.[Andreas], Kosmopoulos, D.I.[Dimitrios I.], Chatzis, S.P.[Sotirios P.], Metaxas, D.N.[Dimitris N.],
Variational Bayesian Sequence-to-sequence Networks for Memory-Efficient Sign Language Translation,
ISVC20(II:251-262).
Springer DOI 2103
BibRef

Rodríguez, J.[Jefferson], Chacón, J.[Juan], Rangel, E.[Edgar], Guayacán, L.[Luis], Hernández, C.[Claudia], Hernández, L.[Luisa], Martínez, F.[Fabio],
Understanding Motion in Sign Language: A New Structured Translation Dataset,
ACCV20(VI:669-684).
Springer DOI 2103
BibRef

Schioppo, J., Meyer, Z., Fabiano, D., Canavan, S.,
Sign Language Recognition in Virtual Reality,
FG20(917-917)
IEEE DOI 2102
Gesture recognition, Assistive technology, Feature extraction, Real-time systems, Random forests, Face recognition, Virtual environments BibRef

Orbay, A., Akarun, L.,
Neural Sign Language Translation by Learning Tokenization,
FG20(222-228)
IEEE DOI 2102
Tokenization, Gesture recognition, Assistive technology, Shape, Feature extraction, Videos, Annotations, NLP, Domain Adaptation BibRef

Kosmopoulos, D.I., Oikonomidis, I., Constantinopoulos, C., Arvanitis, N., Antzakas, K., Bifis, A., Lydakis, G., Roussos, A., Argyros, A.A.,
Towards a visual Sign Language dataset for home care services,
FG20(520-524)
IEEE DOI 2102
Videos, Faces, Assistive technology, Annotations, Gesture recognition, Vocabulary BibRef

Vasudevan, A., Negri, P., Linares-Barranco, B., Serrano-Gotarredona, T.,
Introduction and Analysis of an Event-Based Sign Language Dataset,
FG20(675-682)
IEEE DOI 2102
Gesture recognition, Assistive technology, Voltage control, Lighting, Databases, Animals, Vision sensors, Spiking Neural Network, Dynamic vision sensor BibRef

da Silva, E.P., Costa, P.D.P., Kumada, K.M.O., de Martino, J.M.,
SILFA: Sign Language Facial Action Database for the Development of Assistive Technologies for the Deaf,
FG20(688-692)
IEEE DOI 2102
Assistive technology, Gesture recognition, Databases, Face recognition, Lips, Head, Encoding BibRef

Cheng, K.L.[Ka Leong], Yang, Z.Y.[Zhao-Yang], Chen, Q.F.[Qi-Feng], Tai, Y.W.[Yu-Wing],
Fully Convolutional Networks for Continuous Sign Language Recognition,
ECCV20(XXIV:697-714).
Springer DOI 2012
BibRef

Sarhan, N., Frintrop, S.,
Transfer Learning For Videos: From Action Recognition To Sign Language Recognition,
ICIP20(1811-1815)
IEEE DOI 2011
Videos, Gesture recognition, Assistive technology, Training, Optical imaging, 3D CNNs BibRef

Liu, H., Chen, Z., Shi, W.,
Robust Audio-Visual Mandarin Speech Recognition Based On Adaptive Decision Fusion And Tone Features,
ICIP20(1381-1385)
IEEE DOI 2011
Visualization, Speech recognition, Mel frequency cepstral coefficient, Feature extraction, decision fusion BibRef

Niu, Z.[Zhe], Mak, B.[Brian],
Stochastic Fine-grained Labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition,
ECCV20(XVI: 172-186).
Springer DOI 2010
BibRef

Kindiroglu, A.A., Özdemir, O., Akarun, L.,
Temporal Accumulative Features for Sign Language Recognition,
HBU19(1288-1297)
IEEE DOI 2004
convolutional neural nets, feature extraction, gesture recognition, image classification, image colour analysis, BibRef

Yang, S.H.[Seung-Han], Jung, S.J.[Seung-Jun], Kang, H.[Heekwang], Kim, C.[Changick],
The Korean Sign Language Dataset for Action Recognition,
MMMod20(I:532-542).
Springer DOI 2003
BibRef

Pu, J.F.[Jun-Fu], Zhou, W.G.[Wen-Gang], Li, H.Q.A.[Hou-Qi-Ang],
Iterative Alignment Network for Continuous Sign Language Recognition,
CVPR19(4160-4169).
IEEE DOI 2002
BibRef

Song, P., Guo, D., Xin, H., Wang, M.,
Parallel Temporal Encoder For Sign Language Translation,
ICIP19(1915-1919)
IEEE DOI 1910
Sign language translation, connectionist temporal classification, reconstruction loss BibRef

Chaaban, H.[Hussein], Gouiffčs, M.[Michčle], Braffort, A.[Annelies],
Towards an Automatic Annotation of French Sign Language Videos: Detection of Lexical Signs,
CAIP19(II:402-412).
Springer DOI 1909
BibRef

Konstantinidis, D., Dimitropoulos, K., Daras, P.,
Sign Language Recognition Based on Hand and Body Skeletal Data,
3DTV-CON18(1-4)
IEEE DOI 1812
feature extraction, gesture recognition, handicapped aids, image colour analysis, skeletal data BibRef

Camgoz, N.C., Hadfield, S., Koller, O., Ney, H., Bowden, R.,
Neural Sign Language Translation,
CVPR18(7784-7793)
IEEE DOI 1812
Assistive technology, Videos, Gesture recognition, Task analysis, Decoding, Linguistics BibRef

Rodríguez, J.[Jefferson], Martínez, F.[Fabio],
A Kinematic Gesture Representation Based on Shape Difference VLAD for Sign Language Recognition,
ICCVG18(438-449).
Springer DOI 1810
BibRef

Neto, G.M.R.[Geovane M. Ramos], Braz, Jr., G.[Geraldo], de Almeida, J.D.S.[Joăo Dallyson Sousa], de Paiva, A.C.[Anselmo Cardoso],
Sign Language Recognition Based on 3D Convolutional Neural Networks,
ICIAR18(399-407).
Springer DOI 1807
BibRef

Poulet, T.[Thomas], Haffreingue, V.[Victor], Ridene, T.[Taha],
Conversational Agent Module for French Sign Language Using Kinect Sensor,
UHA3DS16(42-56).
Springer DOI 1806
BibRef

Oliveira, M., Chatbri, H., Little, S., Ferstl, Y., O'Connor, N.E., Sutherland, A.,
Irish Sign Language Recognition Using Principal Component Analysis and Convolutional Neural Networks,
DICTA17(1-8)
IEEE DOI 1804
feature extraction, gesture recognition, image classification, image segmentation, neural nets, Videos BibRef

He, J., Liu, Z., Zhang, J.,
Chinese sign language recognition based on trajectory and hand shape features,
VCIP16(1-4)
IEEE DOI 1701
Assistive technology BibRef

Vidalón, J.E.Y.[José Elías Yauri], de Martino, J.M.[José Mario],
Brazilian Sign Language Recognition Using Kinect,
ACVR16(II: 391-402).
Springer DOI 1611
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Oliveira, M.[Marlon], Sutherland, A.[Alistair], Farouk, M.[Mohamed],
Manifold Interpolation for an Efficient Hand Shape Recognition in the Irish Sign Language,
ISVC16(II: 320-329).
Springer DOI 1701
BibRef

Zadghorban, M., Nahvi, M.,
Improving the performance of Kalman filter for hand tracking in Persian sign language video,
IPRIA15(1-5)
IEEE DOI 1603
Kalman filters BibRef

Abdulghafoor, M.S.[Maath S.], Ahmad, A.[Azlina], Huang, J.Y.[Jiung-Yao],
Assistive Malaysian Sign Language Application for D/HH Learning Using Visual Phonics,
IVIC15(335-346).
Springer DOI 1511
BibRef

Borg, M.[Mark], Camilleri, K.P.[Kenneth P.],
Multiple Hypothesis Tracking with Sign Language Hand Motion Constraints,
CAIP15(II:207-219).
Springer DOI 1511
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Mehrotra, K.[Kapil], Godbole, A.[Atul], Belhe, S.[Swapnil],
Indian Sign Language Recognition Using Kinect Sensor,
ICIAR15(528-535).
Springer DOI 1507
BibRef

Rodrigues, I.V.[Inęs V.], Pereira, E.M.[Eduardo M.], Teixeira, L.F.[Luis F.],
Analysis of Expressiveness of Portuguese Sign Language Speakers,
IbPRIA15(708-717).
Springer DOI 1506
BibRef

Shangeetha, R.K., Valliammai, V., Padmavathi, S.,
Computer vision based approach for Indian Sign Language character recognition,
IMVIP12(181-184).
IEEE DOI 1302
BibRef

Dimou, A.L.[Athanasia-Lida], Goulas, T.[Theodore], Efthimiou, E.[Eleni],
Grammar/Prosody Modelling in Greek Sign Language: Towards the Definition of Built-In Sign Synthesis Rules,
GW11(183-193).
Springer DOI 1211
BibRef

Huang, C.L.[Chung-Lin], Tsai, B.L.[Bo-Lin],
A Vision-Based Taiwanese Sign Language Recognition,
ICPR10(3683-3686).
IEEE DOI 1008
BibRef

Rodrigues, I.G.[Isabel Galhano],
Gesture Space and Gesture Choreography in European Portuguese and African Portuguese Interactions: A Pilot Study of Two Cases,
GW09(23-33).
Springer DOI 0902
BibRef

Karpinski, M.[Maciej],
Preliminary Prosodic and Gestural Characteristics of Instructing Acts in Polish Task-Oriented Dialogues,
COST08(227-238).
Springer DOI 0810
BibRef

Jarmolowicz-Nowikow, E.[Ewa],
Polish Children's Gesticulation in Narrating (Re-telling) a Cartoon,
COST08(239-247).
Springer DOI 0810
BibRef

Liwicki, S.[Stephan], Everingham, M.R.[Mark R.],
Automatic recognition of fingerspelled words in British Sign Language,
CVPR4HB09(50-57).
IEEE DOI 0906
BibRef

Wang, C.L.[Chun-Li], Chen, X.L.[Xi-Lin], Gao, W.[Wen],
Expanding Training Set for Chinese Sign Language Recognition,
FGR06(323-328).
IEEE DOI 0604
BibRef

Wang, C.L.[Chun-Li], Chen, X.L.[Xi-Lin], Gao, W.[Wen],
Re-sampling for Chinese Sign Language Recognition,
GW05(57-67).
Springer DOI 0505
BibRef

Attina, V.[Virginie], Cathiard, M.A.[Marie-Agnčs], Beautemps, D.[Denis],
Temporal Measures of Hand and Speech Coordination During French Cued Speech Production,
GW05(13-24).
Springer DOI 0505
BibRef

Fang, G.L.[Gao-Lin], Gao, X.J.[Xiu-Juan], Gao, W.[Wen], Chen, Y.Q.[Yi-Qiang],
A novel approach to automatically extracting basic units from Chinese sign language,
ICPR04(IV: 454-457).
IEEE DOI 0409
BibRef

Chen, Y.Q.[Yi-Qiang], Gao, W.[Wen], Fang, G.L.[Gao-Lin], Yang, C.S.[Chang-Shui], Wang, Z.Q.[Zhao-Qi],
CSLDS: Chinese sign language dialog system,
AMFG03(236-237).
IEEE DOI 0311
BibRef

Terrillon, J.C.[Jean-Christophe], Piplré, A.[Arnaud], Niwa, Y.[Yoshinori], Yamamoto, K.[Kazuhiko],
Robust Face Detection and Japanese Sign Language Hand Posture Recognition for Human-Computer Interaction in an 'Intelligent' Room,
VI02(369).
PDF File. 0208
BibRef

Sagawa, H.[Hirohiko], Takeuchi, M.[Masaru],
A Method for Recognizing a Sequence of Sign Language Words Represented in a Japanese Sign Language Sentence,
AFGR00(434-439).
IEEE DOI 0003
BibRef
Earlier:
A Method for Analyzing Spatial Relationships Between Words in Sign Language Recognition,
GW99(197).
Springer DOI 9903
BibRef

Kim, S.W.[Sang-Woon], Lee, J.W.[Jong-Woo], Oh, J.Y.[Ji-Yong], Aoki, Y.[Yoshinao],
A comparative study on the sign-language communication systems between Korea and Japan through 2D and 3D character models on the Internet,
ICIP99(IV:227-231).
IEEE DOI BibRef 9900

Cuxac, C.[Christian],
French Sign Language: Proposition of a Structural Explanation by Iconicity,
GW99(165).
Springer DOI 9903
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Sign Language, Fingerspelling .


Last update:Mar 16, 2024 at 20:36:19