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Adaptation models, Assistive technology, Feature extraction,
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Re-Sign: Re-Aligned End-to-End Sequence Modelling with Deep Recurrent
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Assistive technology, Gesture recognition, Hidden Markov models,
Mathematical model, Speech recognition, Training
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1911
Covariance matrices, Hidden Markov models, Manifolds,
Assistive technology, Feature extraction, Gesture recognition,
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1911
Videos, Visualization, Semantics,
Skeleton, Assistive technology, Gesture recognition,
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Histogram of Oriented Gradients (HOG), Taguchi, TOPSIS,
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Semantics, Hidden Markov models, Assistive technology,
Reinforcement learning, Gesture recognition, Task analysis,
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ICIP19(285-289)
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sign language recognition, reinforcement learning, self-critic
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2107
Multi view, Sign language recognition, Deep learning,
Attention models, Motion modelled
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DeSIRe: Deep Signer-Invariant Representations for Sign Language
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SMCS(51), No. 9, September 2021, pp. 5830-5845.
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2108
Assistive technology, Gesture recognition, Neural networks,
Measurement, Auditory system, Task analysis, Hidden Markov models,
variational autoencoders (VAEs)
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Nihal, R.A.[Ragib Amin],
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Elsevier DOI
2109
Bangla sign language, Deep learning, Recognition, Large dataset,
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Elsevier DOI
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Sign language recognition, 3D convolution network,
Global-local attention, Time series modeling
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Dynamic hand gesture recognition of sign language using geometric
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Zhou, H.[Hao],
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Spatial-Temporal Multi-Cue Network for Sign Language Recognition and
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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
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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
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Modanwal, G.[Gourav],
Rai, S.B.[Shashi Bhushan],
Jaiswal, A.[Aishwarya],
Singh, T.[Tushar],
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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
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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
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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
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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
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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.H.[Zi-Hui],
Liu, K.L.[Kai-Lin],
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
Xue, C.[Cuihong],
Jia, J.L.[Jing-Li],
Yu, M.[Ming],
Yan, G.[Gang],
Guo, Y.C.[Ying-Chun],
Liu, Y.[Yuehao],
Continuous sign language recognition based on hierarchical memory
sequence network,
IET-CV(18), No. 2, 2024, pp. 247-259.
DOI Link
2403
gesture recognition, image processing
BibRef
Gao, L.Q.[Li-Qing],
Feng, W.[Wei],
Lyu, F.[Fan],
Wan, L.[Liang],
Combinational sign language recognition,
CVIU(241), 2024, pp. 103972.
Elsevier DOI
2403
Sign language recognition (SLR), Combinational learning,
Location prediction, Feature insertion, Context passing
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2404
Sign language recognition, Few-shot learning,
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Gloss Prior Guided Visual Feature Learning for Continuous Sign
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IP(33), 2024, pp. 3486-3495.
IEEE DOI
2406
Feature extraction, Visualization, Sign language, Semantics,
Computational modeling, Training, Task analysis,
optimal transport problem
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A Sign Language Recognition Framework Based on Cross-Modal
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MultMed(26), 2024, pp. 8131-8144.
IEEE DOI
2408
Sign language, Feature extraction, Visualization, Fuses,
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WWW Link.
2408
BibRef
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Improving End-to-End Sign Language Translation With Adaptive Video
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WWW Link.
2410
Transformers, Sign language, Annotations, Training, Decoding,
Task analysis, TV, End-to-end sign language translation,
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Elsevier DOI Code:
WWW Link.
2411
Continuous sign language recognition, Cross-modal,
Contrastive learning, Vision2Text
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CVPR23(10771-10780)
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2309
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Privacy-Preserving Visual Cues Communication for Hearing-Impaired
People Using Deep Learning,
ICIP24(2885-2888)
IEEE DOI
2411
Deep learning, Training, Radio frequency, Visualization, Privacy,
Lighting, Sensors, Spectrogram, Residual neural networks, RF Sensing,
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LLMs are Good Sign Language Translators,
CVPR24(18362-18372)
IEEE DOI
2410
Sign language, Visualization, Large language models, Semantics,
Transforms, Assistive technologies, Benchmark testing,
Large Language Models
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Gan, S.W.[Shi-Wei],
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Jiang, Z.W.[Zhi-Wei],
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SignGraph: A Sign Sequence is Worth Graphs of Nodes,
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WWW Link.
2410
Sign language, Correlation, Codes, Computational modeling,
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Graph convolutional network
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Russian Sign Language Learning Simulator - FG 2024 Submission,
FG24(1-1)
IEEE DOI
2408
Sign language, Solid modeling, Avatars, Face recognition,
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Kindiroglu, A.A.[Ahmet Alp],
Kara, O.[Ozgur],
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Transfer Learning for Cross-Dataset Isolated Sign Language
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FG24(1-8)
IEEE DOI
2408
Knowledge engineering, Training, Sign language, Vocabulary,
Protocols, Face recognition, Transfer learning
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Zeeon, I.E.M.[Iftekhar E Mahbub],
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BTVSL: A Novel Sentence-Level Annotated Dataset for Bangla Sign
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FG24(1-10)
IEEE DOI
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Sign language, Video on demand, Image recognition,
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FG24(1-5)
IEEE DOI
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Sign language, Network topology, Shape,
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Sign Language Production with Latent Motion Transformer,
WACV24(3012-3022)
IEEE DOI
2404
Training, Sign language, Visualization, Codes, Semantics, Production,
Transformers, Algorithms,
image and video synthesis
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ICCV23(20619-20629)
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Human Part-wise 3D Motion Context Learning for Sign Language
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ICCV23(20683-20693)
IEEE DOI
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C2ST: Cross-modal Contextualized Sequence Transduction for Continuous
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ICCV23(20996-21005)
IEEE DOI
2401
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Improving Continuous Sign Language Recognition with Cross-Lingual
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From Scarcity to Understanding: Transfer Learning for the Extremely
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IEEE DOI
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A New Dataset for End-to-End Sign Language Translation:
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IEEE DOI
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Sign Language Translation from Instructional Videos,
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IEEE DOI
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Natural Language-Assisted Sign Language Recognition,
CVPR23(14890-14900)
IEEE DOI
2309
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IEEE DOI
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Gloss Attention for Gloss-free Sign Language Translation,
CVPR23(2551-2562)
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2309
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Continuous Sign Language Recognition with Correlation Network,
CVPR23(2529-2539)
IEEE DOI
2309
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Sign, Attend and Tell: Spatial Attention for Sign Language
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FG21(1-8)
IEEE DOI
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Training, Solid modeling,
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Park, K.[Kibaek],
Jang, Y.[YeongJun],
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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
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Training, Face recognition,
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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
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Bohacek, M.[Matyá],
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Learning from What is Already Out There: Few-shot Sign Language
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FG23(1-6)
IEEE DOI
2303
Training, Location awareness, Dictionaries, Face recognition,
Transfer learning, Gesture recognition, Assistive technologies
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Sundaram, R.[Ramakrishnan],
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Fusion-based Spatiotemporal Convolutions with Constant Temporal
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FG21(01-08)
IEEE DOI
2303
Face recognition,
Gesture recognition, Auditory system, Assistive technologies,
Spatiotemporal phenomena
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Camgöz, N.C.[Necati Cihan],
Saunders, B.[Ben],
Rochette, G.[Guillaume],
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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
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Masked Batch Normalization to Improve Tracking-Based Sign Language
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FG21(1-5)
IEEE DOI
2303
Training, Degradation, Deep learning, Convolution, Face recognition,
Neural networks
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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
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Min, Y.C.[Yue-Cong],
Jiao, P.Q.[Pei-Qi],
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Deep Radial Embedding for Visual Sequence Learning,
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2211
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The Effect of Spatial and Temporal Occlusion on Word Level Sign
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ICIP22(2686-2690)
IEEE DOI
2211
Training, Image recognition, Semantics, Focusing,
Gesture recognition, Assistive technologies,
Video Transformer Network
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Bull, H.[Hannah],
Prajwal, K.R.,
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Automatic Dense Annotation of Large-Vocabulary Sign Language Videos,
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Springer DOI
2211
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Temporal Lift Pooling for Continuous Sign Language Recognition,
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Springer DOI
2211
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Zuo, R.[Ronglai],
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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
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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
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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
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Radhakrishnan, S.[Srijith],
Mohan, N.C.[Nikhil C],
Varma, M.[Manisimha],
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Pai, S.N.[Smitha N],
Cross Transferring Activity Recognition to Word Level Sign Language
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ABAW22(2445-2452)
IEEE DOI
2210
Conferences, Transfer learning, Lighting, Gesture recognition,
Computer architecture, Assistive technologies
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Chen, Y.T.[Yu-Tong],
Wei, F.Y.[Fang-Yun],
Sun, X.[Xiao],
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Lin, S.[Stephen],
A Simple Multi-Modality Transfer Learning Baseline for Sign Language
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CVPR22(5110-5120)
IEEE DOI
2210
Training, Visualization, Machine vision, Transfer learning,
Gesture recognition, Assistive technologies, Vision + language,
Vision applications and systems
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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
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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,
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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
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ICCV21(11283-11292)
IEEE DOI
2203
Training, Deep learning, Visualization, Gesture recognition,
Assistive technologies, Benchmark testing,
Action and behavior recognition
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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
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Bohácek, M.[Matyá],
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
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Ferreira, D.[Dominic],
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DeepSolfčge: Recognizing Solfčge Hand Signs Using Convolutional Neural
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2112
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SignPose: Sign Language Animation Through 3D Pose Lifting,
XSAnim21(2640-2649)
IEEE DOI
2112
Solid modeling,
Computational modeling, Quaternions, Pose estimation,
Computer architecture
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Ng, E.[Evonne],
Ginosar, S.[Shiry],
Darrell, T.J.[Trevor J.],
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Body2Hands: Learning to Infer 3D Hands from Conversational Gesture
Body Dynamics,
CVPR21(11860-11869)
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Solid modeling, Shape, Pose estimation,
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Qi, W.Z.[Wei-Zhen],
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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.[Matyá],
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
Tasyürek, S.M.[Sümeyye Meryem],
Kiziltepe, T.[Tugçe],
Keles, H.Y.[Hacer Yalim],
Towards Better Communication: Refining Hand Pose Estimation in
Low-Resolution Sign Language Videos,
FG24(1-10)
IEEE DOI
2408
Training, Sign language, Technological innovation, TV,
Face recognition, Refining, Pose estimation
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],
Koecká, 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
BibRef
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
BibRef
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 .