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Earlier:
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IEEE DOI
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American Sign Language; Handshape; Motion reconstruction; Multiple cue
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0910
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0910
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0909
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Earlier:
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IEEE DOI
0809
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Kelly, D.[Daniel],
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IEEE DOI
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Sign language recognition; Appearance based features; Hand gesture;
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PDF File.
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0809
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1410
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1504
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Flowing ConvNets for Human Pose Estimation in Videos,
ICCV15(1913-1921)
IEEE DOI
1602
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And:
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Springer DOI
1408
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And:
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DOI Link
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1612
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Upper Body Pose Estimation with Temporal Sequential Forests,
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1410
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Earlier:
Domain Adaptation for Upper Body Pose Tracking in Signed TV Broadcasts,
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IEEE DOI
0906
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Gesture interpretation; Gaussian Process Dynamical Model; Gaussian Process; Sign Language; Hidden Markov Model
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1201
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Earlier:
Recognizing Continuous Grammatical Marker Facial Gestures in Sign
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Springer DOI
1011
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Earlier:
Towards recognition of facial expressions in sign language:
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ICIP08(3228-3231).
IEEE DOI
0810
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And:
Tracking facial features under occlusions and recognizing facial
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IEEE DOI
0809
Probabilistic Principal Component Analysis (PPCA); Facial feature
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Hidden Markov Models (HMM); Bayesian tracking; KLT tracker; Support
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Kong, W.W.,
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0711
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Earlier:
Automatic hand trajectory segmentation and phoneme transcription for
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IEEE DOI
0809
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Earlier:
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AFGR04(535-540).
IEEE DOI
0411
Gesture recognition; Sign language recognition; Handshape recognition;
Motion trajectory recognition; Linear discriminant analysis; Clustering;
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1312
Gesture recognition
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Discriminative exemplar coding; Kinect sensor; sign language recognition
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And: A1, A2, A3, A4, Only:
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1402
Kinect sensor;Latent SVM;Sign Language Recognition
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Pitsikalis, V.[Vassilis],
Rodomagoulakis, I.[Isidoros],
Maragos, P.[Petros],
Unsupervised classification of extreme facial events using active
appearance models tracking for sign language videos,
ICIP12(1409-1412).
IEEE DOI
1302
BibRef
Theodorakis, S.[Stavros],
Pitsikalis, V.[Vassilis],
Rodomagoulakis, I.[Isidoros],
Maragos, P.[Petros],
Recognitionwith raw canonical phonetic movement and handshape subunits
on videos of continuous Sign Language,
ICIP12(1413-1416).
IEEE DOI
1302
BibRef
Theodorakis, S.[Stavros],
Pitsikalis, V.[Vassilis],
Maragos, P.[Petros],
Dynamic-static unsupervised sequentiality, statistical subunits and
lexicon for sign language recognition,
IVC(32), No. 8, 2014, pp. 533-549.
Elsevier DOI
1407
Automatic sign language recognition
BibRef
Pitsikalis, V.[Vassilis],
Theodorakis, S.[Stavros],
Vogler, C.[Christian],
Maragos, P.[Petros],
Advances in phonetics-based sub-unit modeling for transcription
alignment and sign language recognition,
Gesture11(1-6).
IEEE DOI
1106
BibRef
Roussos, A.[Anastasios],
Theodorakis, S.[Stavros],
Pitsikalis, V.[Vassilis],
Maragos, P.[Petros],
Affine-invariant modeling of shape-appearance images applied on sign
language handshape classification,
ICIP10(1417-1420).
IEEE DOI
1009
BibRef
Yi, B.,
Wang, X.,
Harris, F.C.,
Dascalu, S.M.,
sEditor: A Prototype for a Sign Language Interfacing System,
HMS(44), No. 3, June 2014, pp. 1-12.
IEEE DOI
1407
Assistive technology
BibRef
Hikawa, H.,
Kaida, K.,
Novel FPGA Implementation of Hand Sign Recognition System With
SOM-Hebb Classifier,
CirSysVideo(25), No. 1, January 2015, pp. 153-166.
IEEE DOI
1502
Hebbian learning
BibRef
Rokade, R.S.,
Doye, D.D.,
Spelled sign word recognition using key frame,
IET-IPR(9), No. 5, 2015, pp. 381-388.
DOI Link
1506
feature extraction
BibRef
Lee, K.[Kyungsun],
Keum, M.[Minseok],
Han, D.K.[David K.],
Ko, H.S.[Han-Seok],
Visual Speech Recognition Using Weighted Dynamic Time Warping,
IEICE(E98-D), No. 7, July 2015, pp. 1430-1433.
WWW Link.
1508
BibRef
Koller, O.[Oscar],
Forster, J.[Jens],
Ney, H.[Hermann],
Continuous sign language recognition: Towards large vocabulary
statistical recognition systems handling multiple signers,
CVIU(141), No. 1, 2015, pp. 108-125.
Elsevier DOI
1512
Sign language recognition
BibRef
Li, T.S.,
Kao, M.,
Kuo, P.,
Recognition System for Home-Service-Related Sign Language Using
Entropy-Based K -Means Algorithm and ABC-Based HMM,
SMCS(46), No. 1, January 2016, pp. 150-162.
IEEE DOI
1601
Assistive technology
BibRef
Yang, W.W.[Wen-Wen],
Tao, J.[Jinxu],
Ye, Z.F.[Zhong-Fu],
Continuous sign language recognition using level building based on
fast hidden Markov model,
PRL(78), No. 1, 2016, pp. 28-35.
Elsevier DOI
1606
Continuous sign language recognition
BibRef
Poularakis, S.,
Katsavounidis, I.,
Low-Complexity Hand Gesture Recognition System for Continuous Streams
of Digits and Letters,
Cyber(46), No. 9, September 2016, pp. 2094-2108.
IEEE DOI
1609
Accuracy
BibRef
Lim, K.M.[Kian Ming],
Tan, A.W.C.[Alan W.C.],
Tan, S.C.A.[Shing Chi-Ang],
Block-based histogram of optical flow for isolated sign language
recognition,
JVCIR(40, Part B), No. 1, 2016, pp. 538-545.
Elsevier DOI
1610
Sign language recognition
BibRef
Kumar, P.[Pradeep],
Gauba, H.[Himaanshu],
Roy, P.P.[Partha Pratim],
Dogra, D.P.[Debi Prosad],
Coupled HMM-based multi-sensor data fusion for sign language
recognition,
PRL(86), No. 1, 2017, pp. 1-8.
Elsevier DOI
1702
Sign language recognition
BibRef
Kumar, E.K.,
Kishore, P.V.V.,
Sastry, A.S.C.S.,
Kumar, M.T.K.,
Kumar, D.A.,
Training CNNs for 3-D Sign Language Recognition With Color Texture
Coded Joint Angular Displacement Maps,
SPLetters(25), No. 5, May 2018, pp. 645-649.
IEEE DOI
1805
feature extraction, feedforward neural nets,
image colour analysis, image motion analysis, image texture,
three-dimensional (3-D) sign language recognition
BibRef
Kumar, E.K.,
Kishore, P.V.V.,
Kumar, M.T.K.,
Kumar, D.A.,
Sastry, A.S.C.S.,
Three-Dimensional Sign Language Recognition With Angular Velocity
Maps and Connived Feature ResNet,
SPLetters(25), No. 12, December 2018, pp. 1860-1864.
IEEE DOI
1812
feature extraction, gesture recognition, image classification,
image motion analysis, learning (artificial intelligence),
3D sign language recognition
BibRef
Kumar, D.A.,
Sastry, A.S.C.S.[A. S. C. S.],
Kishore, P.V.V.,
Kumar, E.K.,
Kumar, M.T.K.,
S3DRGF: Spatial 3-D Relational Geometric Features for 3-D Sign
Language Representation and Recognition,
SPLetters(26), No. 1, January 2019, pp. 169-173.
IEEE DOI
1901
computational geometry, feature extraction, handicapped aids,
image classification, image motion analysis,
3D sign language recognition
BibRef
Avola, D.,
Bernardi, M.,
Cinque, L.,
Foresti, G.L.,
Massaroni, C.,
Exploiting Recurrent Neural Networks and Leap Motion Controller for
the Recognition of Sign Language and Semaphoric Hand Gestures,
MultMed(21), No. 1, January 2019, pp. 234-245.
IEEE DOI
1901
Gesture recognition, Assistive technology, Feature extraction,
Thumb, Recurrent neural networks,
Long Short Term Memory (LSTM)
BibRef
Nasreddine, K.[Kamal],
Benzinou, A.[Abdesslam],
Shape geodesics for robust sign language recognition,
IET-IPR(13), No. 5, 18 April 2019, pp. 825-832.
DOI Link
1904
BibRef
Cui, R.,
Liu, H.,
Zhang, C.,
A Deep Neural Framework for Continuous Sign Language Recognition by
Iterative Training,
MultMed(21), No. 7, July 2019, pp. 1880-1891.
IEEE DOI
1906
BibRef
Earlier:
Recurrent Convolutional Neural Networks for Continuous Sign Language
Recognition by Staged Optimization,
CVPR17(1610-1618)
IEEE DOI
1711
Feature extraction, Training, Videos, Hidden Markov models,
Convolutional neural networks, Gesture recognition,
multimodal fusion.
Assistive technology, Feature extraction,
Hidden Markov models, Neural networks, Proposals, Training
BibRef
Gangrade, J.[Jayesh],
Bharti, J.[Jyoti],
Real time sign language recognition using depth sensor,
IJCVR(9), No. 4, 2019, pp. 329-339.
DOI Link
1908
BibRef
Huang, J.,
Zhou, W.,
Li, H.,
Li, W.,
Attention-Based 3D-CNNs for Large-Vocabulary Sign Language
Recognition,
CirSysVideo(29), No. 9, September 2019, pp. 2822-2832.
IEEE DOI
1909
Gesture recognition, Feature extraction, Hidden Markov models,
Assistive technology, Convolution,
deep learning
BibRef
Stoll, S.[Stephanie],
Camgoz, N.C.[Necati Cihan],
Hadfield, S.[Simon],
Bowden, R.[Richard],
Text2Sign: Towards Sign Language Production Using Neural Machine
Translation and Generative Adversarial Networks,
IJCV(128), No. 4, April 2020, pp. 891-908.
Springer DOI
2004
BibRef
Camgoz, N.C.[Necati Cihan],
Hadfield, S.[Simon],
Koller, O.,
Bowden, R.[Richard],
SubUNets: End-to-End Hand Shape and Continuous Sign Language
Recognition,
ICCV17(3075-3084)
IEEE DOI
1802
expert systems, image recognition,
learning (artificial intelligence), shape recognition,
Videos
BibRef
Arun, C.,
Gopikakumari, R.,
Optimisation of both classifier and fusion based feature set for static
American sign language recognition,
IET-IPR(14), No. 10, August 2020, pp. 2101-2109.
DOI Link
2008
BibRef
Koller, O.[Oscar],
Camgoz, N.C.[Necati Cihan],
Ney, H.[Hermann],
Bowden, R.[Richard],
Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to
Discover Sequential Parallelism in Sign Language Videos,
PAMI(42), No. 9, September 2020, pp. 2306-2320.
IEEE DOI
2008
Hidden Markov models, Assistive technology, Gesture recognition,
Synchronization, Shape, Supervised learning, Speech recognition,
hand shape recognition
BibRef
Saunders, B.[Ben],
Camgoz, N.C.[Necati Cihan],
Bowden, R.[Richard],
Continuous 3D Multi-Channel Sign Language Production via Progressive
Transformers and Mixture Density Networks,
IJCV(129), No. 7, July 2021, pp. 2113-2135.
Springer DOI
2106
BibRef
Earlier:
Progressive Transformers for End-to-end Sign Language Production,
ECCV20(XI:687-705).
Springer DOI
2011
BibRef
Cihan Camgöz, N.,
Koller, O.,
Hadfield, S.,
Bowden, R.,
Sign Language Transformers: Joint End-to-End Sign Language
Recognition and Translation,
CVPR20(10020-10030)
IEEE DOI
2008
Assistive technology, Gesture recognition, Task analysis,
Linguistics, Decoding
BibRef
Varol, G.[Gül],
Momeni, L.[Liliane],
Albanie, S.[Samuel],
Afouras, T.[Triantafyllos],
Zisserman, A.[Andrew],
Scaling Up Sign Spotting Through Sign Language Dictionaries,
IJCV(130), No. 6, June 2022, pp. 1416-1439.
Springer DOI
2207
BibRef
Earlier: A2, A1, A3, A4, A5:
Afouras, T.[Triantafyllos],
Zisserman, A.[Andrew],
Watch, Read and Lookup: Learning to Spot Signs from Multiple
Supervisors,
ACCV20(VI:291-308).
Springer DOI
2103
BibRef
Albanie, S.[Samuel],
Varol, G.[Gül],
Momeni, L.[Liliane],
Afouras, T.[Triantafyllos],
Chung, J.S.[Joon Son],
Fox, N.[Neil],
Zisserman, A.[Andrew],
BSL-1K: Scaling Up Co-articulated Sign Language Recognition Using
Mouthing Cues,
ECCV20(XI:35-53).
Springer DOI
2011
BibRef
Kurtoglu, E.[Emre],
Gurbuz, A.C.[Ali C.],
Malaia, E.A.[Evie A.],
Griffin, D.[Darrin],
Crawford, C.[Chris],
Gurbuz, S.Z.[Sevgi Z.],
ASL Trigger Recognition in Mixed Activity/Signing Sequences for RF
Sensor-Based User Interfaces,
HMS(52), No. 4, August 2022, pp. 699-712.
IEEE DOI
2208
Radio frequency, Sensors, Gesture recognition, Radar, Kinematics,
Assistive technologies, Chirp, American sign language (ASL),
wake word
BibRef
Shi, B.[Bowen],
Brentari, D.[Diane],
Shakhnarovich, G.[Greg],
Livescu, K.[Karen],
Fingerspelling Detection in American Sign Language,
CVPR21(4164-4173)
IEEE DOI
2111
Measurement, Training, Adaptation models, Pose estimation,
Gesture recognition, Assistive technologies, Benchmark testing
BibRef
Duarte, A.[Amanda],
Palaskar, S.[Shruti],
Ventura, L.[Lucas],
Ghadiyaram, D.[Deepti],
DeHaan, K.[Kenneth],
Metze, F.[Florian],
Torres, J.[Jordi],
Giro-i-Nieto, X.[Xavier],
How2Sign: A Large-scale Multimodal Dataset for Continuous American
Sign Language,
CVPR21(2734-2743)
IEEE DOI
2111
Annotations,
Pose estimation, Gesture recognition, Production, Speech recognition
BibRef
Kamzin, A.,
Amperayani, V.N.S.A.,
Sukhapalli, P.,
Banerjee, A.,
Gupta, S.K.S.,
Concept Embedding through Canonical Forms: A Case Study on Zero-Shot
ASL Recognition,
ICPR21(6157-6164)
IEEE DOI
2105
Deep learning, Assistive technology, Training data, Gesture recognition
BibRef
Hosain, A.A.,
Santhalingam, P.S.,
Pathak, P.,
Rangwala, H.,
Košecká, J.,
FineHand: Learning Hand Shapes for American Sign Language Recognition,
FG20(700-707)
IEEE DOI
2102
Shape, Hidden Markov models, Gesture recognition, Data models,
Assistive technology, Pose estimation, Training, Deep Learning, RNN
BibRef
Luo, Z.,
Zhou, L.,
Bai, X.,
Chen, H.,
Zhang, J.,
Yao, Y.,
Li, S.,
Fang, T.,
Quan, L.,
ASLFeat: Learning Local Features of Accurate Shape and Localization,
CVPR20(6588-6597)
IEEE DOI
2008
Feature extraction, Shape, Detectors, Task analysis, Estimation,
Deformable models, Spatial resolution
BibRef
Li, D.,
Yu, X.,
Xu, C.,
Petersson, L.,
Li, H.,
Transferring Cross-Domain Knowledge for Video Sign Language
Recognition,
CVPR20(6204-6213)
IEEE DOI
2008
Visualization, Training, Hidden Markov models, Feature extraction,
Prototypes, Silicon, Assistive technology
BibRef
Li, D.,
Opazo, C.R.,
Yu, X.,
Li, H.,
Word-level Deep Sign Language Recognition from Video:
A New Large-scale Dataset and Methods Comparison,
WACV20(1448-1458)
IEEE DOI
2006
Assistive technology, Gesture recognition, Feature extraction,
Task analysis, Hidden Markov models, Vocabulary, Databases
BibRef
Lee, G.,
Deng, Z.,
Ma, S.,
Shiratori, T.,
Srinivasa, S.,
Sheikh, Y.,
Talking With Hands 16.2M: A Large-Scale Dataset of Synchronized
Body-Finger Motion and Audio for Conversational Motion Analysis and
Synthesis,
ICCV19(763-772)
IEEE DOI
2004
biomechanics, computer animation, gesture recognition,
image motion analysis, learning (artificial intelligence), Synchronization
BibRef
Oliveira, M.,
Chatbri, H.,
Little, S.,
O'Connor, N.E.,
Sutherland, A.,
A comparison between end-to-end approaches and feature extraction
based approaches for Sign Language recognition,
IVCNZ17(1-6)
IEEE DOI
1902
feature extraction, feedforward neural nets,
image classification, iterative methods, multilayer perceptrons,
sign language
BibRef
Vahdani, E.[Elahe],
Jing, L.L.[Long-Long],
Tian, Y.L.[Ying-Li],
Huenerfauth, M.[Matt],
Recognizing American Sign Language Nonmanual Signal Grammar Errors in
Continuous Videos,
ICPR21(1-8)
IEEE DOI
2105
Training, Assistive technology, Face recognition, Manuals,
Gesture recognition, Tools, Real-time systems,
Deaf and Hard of Hearing
BibRef
Ye, Y.,
Tian, Y.L.[Ying-Li],
Huenerfauth, M.[Matt],
Liu, J.,
Recognizing American Sign Language Gestures from Within Continuous
Videos,
AMFG18(2145-214509)
IEEE DOI
1812
Videos, Assistive technology, Gesture recognition,
Task analysis, Feature extraction, Recurrent neural networks
BibRef
Zheng, L.,
Liang, B.,
Jiang, A.,
Recent Advances of Deep Learning for Sign Language Recognition,
DICTA17(1-7)
IEEE DOI
1804
cameras, feature extraction, gesture recognition, handicapped aids,
learning (artificial intelligence), sign language recognition,
Training
BibRef
Wang, I.[Isaac],
Ben Fraj, M.[Mohtadi],
Narayana, P.[Pradyumna],
Patil, D.[Dhruva],
Mulay, G.[Gururaj],
EGGNOG: A Continuous, Multi-modal Data Set of Naturally Occurring
Gestures with Ground Truth Labels,
FG17(414-421)
IEEE DOI
1707
Computer science, Gesture recognition,
Human computer interaction, Layout, Motion segmentation, Sensors, Skeleton
BibRef
Okada, S.,
Otsuka, K.,
Recognizing Words from Gestures: Discovering Gesture Descriptors
Associated with Spoken Utterances,
FG17(430-437)
IEEE DOI
1707
Computational modeling, Feature extraction, Gesture recognition,
Hidden Markov models, Motion segmentation, Speech, Trajectory
BibRef
Parcheta, Z.[Zuzanna],
Martínez-Hinarejos, C.D.[Carlos D.],
Sign Language Gesture Recognition Using HMM,
IbPRIA17(419-426).
Springer DOI
1706
BibRef
Ferreira, P.M.[Pedro M.],
Cardoso, J.S.[Jaime S.],
Rebelo, A.[Ana],
Multimodal Learning for Sign Language Recognition,
IbPRIA17(313-321).
Springer DOI
1706
BibRef
Islam, M.M.,
Siddiqua, S.,
Afnan, J.,
Real time Hand Gesture Recognition using different algorithms based
on American Sign Language,
IVPR17(1-6)
IEEE DOI
1704
Assistive technology
BibRef
Zhang, C.Y.[Chen-Yang],
Tian, Y.[Yingli],
Automatic Video Captioning via Multi-channel Sequential Encoding,
ACVR16(II: 146-161).
Springer DOI
1611
And for ASL.
BibRef
Camgöz, N.C.[Necati Cihan],
Kindiroglu, A.A.[Ahmet Alp],
Akarun, L.[Lale],
Sign Language Recognition for Assisting the Deaf in Hospitals,
HBU16(89-101).
Springer DOI
1611
BibRef
Pansare, J.R.,
Ingle, M.,
Vision-based approach for American Sign Language recognition using
Edge Orientation Histogram,
ICIVC16(86-90)
IEEE DOI
1610
computer vision
BibRef
Zhang, C.,
Tian, Y.,
Huenerfauth, M.,
Multi-modality American Sign Language recognition,
ICIP16(2881-2885)
IEEE DOI
1610
Assistive technology
BibRef
Guo, D.,
Zhou, W.,
Wang, M.,
Li, H.,
Sign language recognition based on adaptive HMMS with data
augmentation,
ICIP16(2876-2880)
IEEE DOI
1610
Adaptation models
BibRef
Liu, T.,
Zhou, W.,
Li, H.,
Sign language recognition with long short-term memory,
ICIP16(2871-2875)
IEEE DOI
1610
Assistive technology
BibRef
Alimohammadi, M.,
Zahedi, M.,
Communication between deaf and hearing children using statistical
machine translation,
IPRIA15(1-6)
IEEE DOI
1603
handicapped aids
BibRef
Pu, J.F.[Jun-Fu],
Zhou, W.G.[Wen-Gang],
Zhang, J.H.[Ji-Hai],
Li, H.Q.[Hou-Qiang],
Sign Language Recognition Based on Trajectory Modeling with HMMs,
MMMod16(I: 686-697).
Springer DOI
1601
BibRef
Martínez, F.[Fabio],
Manzanera, A.[Antoine],
Gouiffès, M.[Michèle],
Braffort, A.[Annelies],
A Gaussian Mixture Representation of Gesture Kinematics for On-Line
Sign Language Video Annotation,
ISVC15(II: 293-303).
Springer DOI
1601
BibRef
Martinez-Camarena, M.,
Oramas Mogrovejo, J.A.[José Antonio],
Tuytelaars, T.,
Towards sign language recognition based on body parts relations,
ICIP15(2454-2458)
IEEE DOI
1512
BibRef
Dong, C.[Cao],
Leu, M.C.[Ming C.],
Yin, Z.Z.[Zhao-Zheng],
American Sign Language alphabet recognition using Microsoft Kinect,
Hands15(44-52)
IEEE DOI
1510
Accuracy
BibRef
Zafrulla, Z.,
Sahni, H.,
Bedri, A.,
Thukral, P.,
Starner, T.,
Hand detection in American Sign Language depth data using
domain-driven random forest regression,
FG15(1-7)
IEEE DOI
1508
object detection
BibRef
Pigou, L.[Lionel],
Dieleman, S.[Sander],
Kindermans, P.J.[Pieter-Jan],
Schrauwen, B.[Benjamin],
Sign Language Recognition Using Convolutional Neural Networks,
ChaLearn14(572-578).
Springer DOI
1504
BibRef
Su, J.Y.[Jing-Yong],
Srivastava, A.[Anuj],
de Souza, F.D.M.[Fillipe D.M.],
Sarkar, S.[Sudeep],
Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with
Application in Visual Speech Recognition,
CVPR14(620-627)
IEEE DOI
1409
BibRef
Earlier:
Rate-invariant comparisons of covariance paths for visual speech
recognition,
NCVPRIPG13(1-4)
IEEE DOI
1408
covariance matrices
BibRef
Kuznetsova, A.[Alina],
Leal-Taixe, L.,
Rosenhahn, B.[Bodo],
Real-Time Sign Language Recognition Using a Consumer Depth Camera,
CDC4CV13(83-90)
IEEE DOI
1403
cameras
BibRef
Kuznetsova, A.[Alina],
Rosenhahn, B.[Bodo],
Hand Pose Estimation from a Single RGB-D Image,
ISVC13(II:592-602).
Springer DOI
1311
BibRef
Oszust, M.,
Wysocki, M.,
Recognition of signed expressions observed by Kinect Sensor,
AVSS13(220-225)
IEEE DOI
1311
image colour analysis
BibRef
Luzardo, M.[Marcos],
Karppa, M.[Matti],
Laaksonen, J.[Jorma],
Jantunen, T.[Tommi],
Head Pose Estimation for Sign Language Video,
SCIA13(349-360).
Springer DOI
1311
BibRef
Viitaniemi, V.[Ville],
Karppa, M.[Matti],
Laaksonen, J.[Jorma],
Experiments on Recognising the Handshape in Blobs Extracted from Sign
Language Videos,
ICPR14(2584-2589)
IEEE DOI
1412
BibRef
Earlier:
2D Appearance Based Techniques for Tracking the Signer Configuration in
Sign Language Video Recordings,
ICIAR14(II: 29-38).
Springer DOI
1410
Assistive technology
BibRef
Viitaniemi, V.[Ville],
Karppa, M.[Matti],
Laaksonen, J.[Jorma],
Jantunen, T.[Tommi],
Detecting Hand-Head Occlusions in Sign Language Video,
SCIA13(361-372).
Springer DOI
1311
BibRef
Jaballah, K.[Kabil],
Jemni, M.[Mohamed],
Fuzzy Analysis of Classifier Handshapes from 3D Sign Language Data,
CIAP13(II:621-630).
Springer DOI
1309
BibRef
Gebre, B.G.[Binyam Gebrekidan],
Wittenburg, P.[Peter],
Heskes, T.[Tom],
Automatic Signer Diarization: The Mover Is the Signer Approach,
Automatic sign language identification,
ICIP13(2626-2630)
IEEE DOI
1402
BibRef
Earlier:
LV13(283-287)
IEEE DOI
1309
signer diarization; speaker diarization
Sign language; language identification; sign language identification
BibRef
Koller, O.,
Ney, H.,
Bowden, R.,
May the force be with you:
Force-aligned signwriting for automatic subunit annotation of corpora,
FG13(1-6)
IEEE DOI
1309
gesture recognition
BibRef
Forster, J.[Jens],
Oberdörfer, C.[Christian],
Koller, O.[Oscar],
Ney, H.[Hermann],
Modality Combination Techniques for Continuous Sign Language
Recognition,
IbPRIA13(89-99).
Springer DOI
1307
BibRef
Gweth, Y.L.[Yannick L.],
Plahl, C.[Christian],
Ney, H.[Hermann],
Enhanced continuous sign language recognition using PCA and neural
network features,
Gesture12(55-60).
IEEE DOI
1207
BibRef
Ragab, A.[Amira],
Ahmed, M.[Maher],
Chau, S.C.[Siu-Cheung],
Sign Language Recognition Using Hilbert Curve Features,
ICIAR13(143-151).
Springer DOI
1307
See also Shape representation and description using the Hilbert curve.
BibRef
Filhol, M.[Michael],
Combining Two Synchronisation Methods in a Linguistic Model to Describe
Sign Language,
GW11(194-203).
Springer DOI
1211
BibRef
Gonzalez, M.[Matilde],
Collet, C.[Christophe],
Sign Segmentation Using Dynamics and Hand Configuration for
Semi-automatic Annotation of Sign Language Corpora,
GW11(204-215).
Springer DOI
1211
BibRef
Gibet, S.[Sylvie],
Marteau, P.F.[Pierre-François],
Duarte, K.[Kyle],
Toward a Motor Theory of Sign Language Perception,
GW11(161-172).
Springer DOI
1211
BibRef
Crasborn, O.[Onno],
Windhouwer, M.[Menzo],
ISOcat Data Categories for Signed Language Resources,
GW11(118-128).
Springer DOI
1211
BibRef
Belgacem, S.[Selma],
Chatelain, C.[Clément],
Ben-Hamadou, A.[Achraf],
Paquet, T.[Thierry],
Hand Tracking Using Optical-Flow Embedded Particle Filter in Sign
Language Scenes,
ICCVG12(288-295).
Springer DOI
1210
BibRef
Sheerman-Chase, T.,
Ong, E.J.[Eng-Jon],
Pugeault, N.[Nicolas],
Bowden, R.[Richard],
Improving recognition and identification of facial areas involved in
Non-Verbal Communication by feature selection,
FG13(1-8)
IEEE DOI
1309
face recognition
BibRef
Ong, E.J.[Eng-Jon],
Pugeault, N.[Nicolas],
Bowden, R.[Richard],
Sign Spotting Using Hierarchical Sequential Patterns with Temporal
Intervals,
CVPR14(1931-1938)
IEEE DOI
1409
Machine Learning
BibRef
Ong, E.J.[Eng-Jon],
Cooper, H.[Helen],
Pugeault, N.[Nicolas],
Bowden, R.[Richard],
Sign Language Recognition using Sequential Pattern Trees,
CVPR12(2200-2207).
IEEE DOI
1208
BibRef
Cooper, H.[Helen],
Pugeault, N.[Nicolas],
Bowden, R.[Richard],
Reading the signs: A video based sign dictionary,
ARTEMIS11(914-919).
IEEE DOI
1201
BibRef
Uebersax, D.[Dominique],
Gall, J.[Juergen],
van den Bergh, M.[Michael],
Van Gool, L.J.[Luc J.],
Real-time sign language letter and word recognition from depth data,
HCI11(383-390).
IEEE DOI
1201
BibRef
Peng, L.[Li],
Jiu, X.[Xu],
Research on using sign language in outdoor advertising,
IASP11(699-703).
IEEE DOI
1112
BibRef
Olaso, J.M.[Javier Mikel],
Torres, M.I.[María Inés],
Integrating Phonological Knowledge in ASR Systems for Spanish Language,
CIARP10(136-143).
Springer DOI
1011
BibRef
Zafrulla, Z.[Zahoor],
Brashear, H.[Helene],
Presti, P.[Peter],
Hamilton, H.[Harley],
Starner, T.E.[Thad E.],
CopyCat: An American Sign Language game for deaf children,
FG11(647).
IEEE DOI
1103
BibRef
Zafrulla, Z.[Zahoor],
Brashear, H.[Helene],
Yin, P.[Pei],
Presti, P.[Peter],
Starner, T.E.[Thad E.],
Hamilton, H.[Harley],
American Sign Language Phrase Verification in an Educational Game for
Deaf Children,
ICPR10(3846-3849).
IEEE DOI
1008
BibRef
Zafrulla, Z.[Zahoor],
Brashear, H.[Helene],
Hamilton, H.[Harley],
Starner, T.E.[Thad E.],
A novel approach to American Sign Language (ASL) phrase verification
using reversed signing,
CVPR4HB10(48-55).
IEEE DOI
1006
BibRef
McGuire, R.M.,
Hernandez-Rebollar, J.L.,
Starner, T.E.,
Henderson, V.,
Brashear, H.,
Ross, D.S.,
Towards a one-way American Sign Language translator,
AFGR04(620-625).
IEEE DOI
0411
BibRef
Hernandez-Rebollar, J.L.,
Kyriakopoulos, N.,
Lindeman, R.W.,
A new instrumented approach for translating American Sign Language into
sound and text,
AFGR04(547-552).
IEEE DOI
0411
BibRef
Waibel, A.[Alex],
Multimodal Interfaces in Support of Human-Human Interaction,
GW09(243-244).
Springer DOI
0902
BibRef
Lefebvre-Albaret, F.[François],
Dalle, P.[Patrice],
Body Posture Estimation in Sign Language Videos,
GW09(289-300).
Springer DOI
0902
BibRef
ten Holt, G.A.[Gineke A.],
Reinders, M.J.T.[Marcel J. T.],
Hendriks, E.A.[Emile A.],
de Ridder, H.[Huib],
van Doorn, A.J.[Andrea J.],
Influence of Handshape Information on Automatic Sign Language
Recognition,
GW09(301-312).
Springer DOI
0902
BibRef
Sansonnet, J.P.[Jean-Paul],
Braffort, A.[Annelies],
Verrecchia, C.[Cyril],
Towards Interactive Web-Based Virtual Signers:
First Step, a Platform for Experimentation Design,
GW09(313-324).
Springer DOI
0902
BibRef
Segouat, J.[Jérémie],
Braffort, A.[Annelies],
Toward Modeling Sign Language Coarticulation,
GW09(325-336).
Springer DOI
0902
BibRef
Santemiz, P.[Pinar],
Aran, O.[Oya],
Saraclar, M.[Murat],
Akarun, L.[Lale],
Automatic sign segmentation from continuous signing via multiple
sequence alignment,
HCI09(2001-2008).
IEEE DOI
0910
BibRef
Bader, T.[Thomas],
Räpple, R.[René],
Beyerer, J.[Jürgen],
Fast Invariant Contour-Based Classification of Hand Symbols for HCI,
CAIP09(689-696).
Springer DOI
0909
BibRef
Wang, J.[Josiah],
Markert, K.[Katja],
Everingham, M.R.[Mark R.],
Learning Models for Object Recognition from Natural Language
Descriptions,
BMVC09(xx-yy).
PDF File.
0909
BibRef
Cooper, H.[Helen],
Bowden, R.[Richard],
Learning signs from subtitles:
A weakly supervised approach to sign language recognition,
CVPR09(2568-2574).
IEEE DOI
0906
BibRef
Earlier:
Large Lexicon Detection of Sign Language,
CVHCI07(88-97).
Springer DOI
0710
BibRef
Lichtenauer, J.[Jeroen],
Hendriks, E.A.[Emile A.],
Reinders, M.[Marcel],
Learning to recognize a sign from a single example,
FG08(1-6).
IEEE DOI
0809
BibRef
Kim, J.H.[Jong-Hwa],
Wagner, J.[Johannes],
Rehm, M.[Matthias],
Andre, E.[Elisabeth],
Bi-channel sensor fusion for automatic sign language recognition,
FG08(1-6).
IEEE DOI
0809
BibRef
Cherniavsky, N.[Neva],
Ladner, R.E.[Richard E.],
Riskin, E.A.[Eve A.],
Activity detection in conversational sign language video for mobile
telecommunication,
FG08(1-6).
IEEE DOI
0809
BibRef
Arendsen, J.[Jeroen],
Lichtenauer, J.F.[Jeroen F.],
ten Holt, G.[Gineke],
van Doorn, A.J.[Andrea J.],
Hendriks, E.A.[Emile A.],
Acceptability ratings by humans and automatic gesture recognition for
variations in sign productions,
FG08(1-6).
IEEE DOI
0809
BibRef
Lichtenauer, J.F.,
ten Holt, G.,
Hendriks, E.A.,
Reinders, M.J.T.,
Vanhoutte, A.,
Kamp, I.,
Arendsen, J.,
van Doorn, A.J.,
de Ridder, H.,
Wenners, E.,
Elzenaar, M.,
Spaai, G.,
Fortgens, C.,
Bruins, M.,
A learning environment for sign language,
FG08(1-2).
IEEE DOI
0809
BibRef
Chattopadhyay, T.[Tanushyam],
Biswas, P.[Provat],
Saha, B.[Biswanath],
Pal, A.[Arpan],
Gesture Based English Character Recognition for Human Machine
Interaction in Interactive Set Top Box Using Multi-factor Analysis,
ICCVGIP08(134-141).
IEEE DOI
0812
BibRef
Matsuo, T.[Tadashi],
Shirai, Y.[Yoshiaki],
Shimada, N.[Nobutaka],
Automatic generation of HMM topology for sign language recognition,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Almeida, A.M.P.[Ana Margarida P.],
Condeço, T.[Teresa],
Ramos, F.[Fernando],
Sousa, Á.[Álvaro],
Cotrim, L.[Luísa],
Macedo, S.[Sofia],
Palha, M.[Miguel],
Signs Workshop: The Importance of Natural Gestures in the Promotion of
Early Communication Skills of Children with Developmental Disabilities,
GW07(245-254).
Springer DOI
0705
BibRef
Olivrin, G.J.L.[Guillaume J.L.],
Gesture Modelling for Linguistic Purposes,
GW07(145-150).
Springer DOI
0705
BibRef
Wang, C.L.[Chun-Li],
Chen, X.L.[Xi-Lin],
Gao, W.[Wen],
Generating Data for Signer Adaptation,
GW07(114-121).
Springer DOI
0705
BibRef
Diamanti, O.[Olga],
Maragos, P.[Petros],
Geodesic active regions for segmentation and tracking of human gestures
in sign language videos,
ICIP08(1096-1099).
IEEE DOI
0810
BibRef
Kountchev, R.,
Todorov, V.,
Kountcheva, R.,
Efficient sign language video representation,
WSSIP08(177-180).
IEEE DOI
0806
BibRef
Thangali, A.[Ashwin],
Nash, J.P.[Joan P.],
Sclaroff, S.[Stan],
Neidle, C.[Carol],
Exploiting phonological constraints for handshape inference in ASL
video,
CVPR11(521-528).
IEEE DOI
1106
BibRef
Thangali, A.[Ashwin],
Sclaroff, S.[Stan],
An alignment based similarity measure for hand detection in cluttered
sign language video,
CVPR4HB09(89-96).
IEEE DOI
0906
BibRef
Athitsos, V.[Vassilis],
Neidle, C.[Carol],
Sclaroff, S.[Stan],
Nash, J.P.[Joan P.],
Stefan, A.[Alexandra],
Yuan, Q.[Quan],
Thangali, A.[Ashwin],
The American Sign Language Lexicon Video Dataset,
CVPR4HB08(1-8).
IEEE DOI
0806
BibRef
Lichtenauer, J.F.[Jeroen F.],
ten Holt, G.A.[Gineke A.],
Reinders, M.J.T.[Marcel J. T.],
Hendriks, E.A.[Emile A.],
Person-Independent 3D Sign Language Recognition,
GW07(69-80).
Springer DOI
0705
BibRef
And: A1, A2, A4, A3:
Sign language detection using 3D visual cues,
AVSBS07(435-440).
IEEE DOI
0709
BibRef
Fujimura, K.[Kikuo],
Xu, L.J.[Li-Jie],
Sign Recognition Using Constrained Optimization,
ACCV07(II: 32-41).
Springer DOI
0711
Especially for overlapping hands.
BibRef
Farhadi, A.[Ali],
Forsyth, D.A.[David A.],
White, R.[Ryan],
Transfer Learning in Sign language,
CVPR07(1-8).
IEEE DOI
0706
BibRef
Earlier: A1, A2, Only:
Aligning ASL for Statistical Translation Using a Discriminative Word
Model,
CVPR06(II: 1471-1476).
IEEE DOI
0606
BibRef
Adamo-Villani, N.[Nicoletta],
Beneš, B.[Bedrich],
Brisbin, M.[Matt],
Hyland, B.[Bryce],
A Natural Interface for Sign Language Mathematics,
ISVC06(I: 70-79).
Springer DOI
0611
BibRef
von Agris, U.[Ulrich],
Knorr, M.[Moritz],
Kraiss, K.F.[Karl-Friedrich],
The significance of facial features for automatic sign language
recognition,
FG08(1-6).
IEEE DOI
0809
BibRef
von Agris, U.[Ulrich],
Blomer, C.[Christoph],
Kraiss, K.F.[Karl-Friedrich],
Rapid signer adaptation for continuous sign language recognition using
a combined approach of eigenvoices, MLLR, and MAP,
ICPR08(1-4).
IEEE DOI
0812
BibRef
von Agris, U.[Ulrich],
Schneider, D.[Daniel],
Zieren, J.[Jorg],
Kraiss, K.F.[Karl-Friedrich],
Rapid Signer Adaptation for Isolated Sign Language Recognition,
V4HCI06(159).
IEEE DOI
0609
BibRef
Yang, R.[Ruiduo],
Sarkar, S.[Sudeep],
Detecting Coarticulation in Sign Language using Conditional Random
Fields,
ICPR06(II: 108-112).
IEEE DOI
0609
BibRef
And:
Gesture Recognition using Hidden Markov Models from Fragmented
Observations,
CVPR06(I: 766-773).
IEEE DOI
0606
BibRef
Incertis, I.G.[Isaac Garcia],
García-Bermejo, J.G.[Jaime Gómez],
Casanova, E.Z.[Eduardo Zalama],
Hand Gesture Recognition for Deaf People Interfacing,
ICPR06(II: 100-103).
IEEE DOI
0609
BibRef
Heloir, A.[Alexis],
Gibet, S.[Sylvie],
A Qualitative and Quantitative Characterisation of Style in Sign
Language Gestures,
GW07(122-133).
Springer DOI
0705
BibRef
Yao, G.L.[Gui-Lin],
Yao, H.X.[Hong-Xun],
Liu, X.[Xin],
Jiang, F.[Feng],
Real Time Large Vocabulary Continuous Sign Language Recognition Based
on OP/Viterbi Algorithm,
ICPR06(III: 312-315).
IEEE DOI
0609
BibRef
Liu, X.[Xin],
Yao, H.X.[Hong-Xun],
Yao, G.L.[Gui-Lin],
Gao, W.[Wen],
A Novel Volumetric Shape from Silhouette Algorithm Based on a
Centripetal Pentahedron Model,
ICPR06(I: 9).
IEEE DOI
0609
BibRef
Yang, X.L.[Xiao-Lin],
Jiang, F.[Feng],
Liu, H.[Han],
Yao, H.X.[Hong-Xun],
Gao, W.[Wen],
Wang, C.L.[Chun-Li],
Visual Sign Language Recognition Based on HMMs and Auto-regressive HMMs,
GW05(80-83).
Springer DOI
0505
BibRef
Braffort, A.[Annelies],
Lejeune, F.[Fanch],
Spatialised Semantic Relations in French Sign Language:
Toward a Computational Modelling,
GW05(37-48).
Springer DOI
0505
BibRef
Dreuw, P.[Philippe],
Stein, D.[Daniel],
Ney, H.[Hermann],
Enhancing a Sign Language Translation System with Vision-Based Features,
GW07(108-113).
Springer DOI
0705
BibRef
Dreuw, P.[Philippe],
Steingrube, P.[Pascal],
Deselaers, T.[Thomas],
Ney, H.[Hermann],
Smoothed Disparity Maps for Continuous American Sign Language
Recognition,
IbPRIA09(24-31).
Springer DOI
0906
BibRef
Dreuw, P.[Philippe],
Forster, J.[Jens],
Deselaers, T.[Thomas],
Ney, H.[Hermann],
Efficient approximations to model-based joint tracking and recognition
of continuous sign language,
FG08(1-6).
IEEE DOI
0809
BibRef
Dreuw, P.,
Deselaers, T.,
Rybach, D.,
Keysers, D.,
Ney, H.,
Tracking Using Dynamic Programming for Appearance-Based Sign Language
Recognition,
FGR06(293-298).
IEEE DOI
0604
BibRef
Zahedi, M.,
Dreuw, P.,
Rybach, D.,
Deselaers, T.,
Ney, H.,
Geometric Features for Improving Continuous Appearance-based Sign
Language Recognition,
BMVC06(III:1019).
PDF File.
0609
BibRef
Dreuw, P.[Philippe],
Keysers, D.[Daniel],
Deselaers, T.[Thomas],
Ney, H.[Hermann],
Gesture Recognition Using Image Comparison Methods,
GW05(124-128).
Springer DOI
0505
See also Discriminative Training for Object Recognition Using Image Patches.
BibRef
Zahedi, M.[Morteza],
Keysers, D.[Daniel],
Ney, H.[Hermann],
Pronunciation Clustering and Modeling of Variability for
Appearance-Based Sign Language Recognition,
GW05(68-79).
Springer DOI
0505
BibRef
And:
Appearance-Based Recognition of Words in American Sign Language,
IbPRIA05(I:511).
Springer DOI
0509
BibRef
Zahedi, M.[Morteza],
Keysers, D.[Daniel],
Deselaers, T.[Thomas],
Ney, H.[Hermann],
Combination of Tangent Distance and an Image Distortion Model for
Appearance-Based Sign Language Recognition,
DAGM05(401).
Springer DOI
0509
BibRef
Lenseigne, B.[Boris],
Dalle, P.[Patrice],
Using Signing Space as a Representation for Sign Language Processing,
GW05(25-36).
Springer DOI
0505
BibRef
Fujimura, K.,
Liu, X.[Xia],
Sign Recognition using Depth Image Streams,
FGR06(381-386).
IEEE DOI
0604
for Japanese Sign Language
BibRef
Hamada, Y.,
Shimada, N.,
Shirai, Y.,
Hand shape estimation under complex backgrounds for sign language
recognition,
AFGR04(589-594).
IEEE DOI
0411
BibRef
Hamada, Y.S.[Yasu-Shi],
Shimada, N.[Nobutaka],
Shirai, Y.[Yoshiaki],
Hand Shape Estimation Using Sequence of Multi-Ocular Images Based on
Transition Network,
VI02(362).
PDF File.
0208
BibRef
Earlier:
Hand Shape Estimation Using Image Transition Network,
HUMO00(161-166).
IEEE Top Reference.
0010
BibRef
Imai, A.[Akihiro],
Shimada, N.[Nobutaka],
Shirai, Y.[Yoshiaki],
Hand Posture Estimation in Complex Backgrounds by Considering Mis-match
of Model,
ACCV07(I: 596-607).
Springer DOI
0711
BibRef
Shimada, N.[Nobutaka],
Kimura, K.[Kousuke],
Shirai, Y.[Yoshiaki],
Kuno, Y.[Yoshinori],
Hand Posture Estimation by Combining 2-d Appearance-based and 3-d
Model-based Approaches,
ICPR00(Vol III: 705-708).
IEEE DOI
IEEE DOI
0009
BibRef
Shimada, N.,
Real-time 3-D Hand Posture Estimation based on 2-D Appearance Retrieval
Using Monocular Camera,
RATFG01(xx-yy).
0106
BibRef
Shimada, N.,
Shirai, Y.,
Kuno, Y.,
Miura, J.,
Hand Gesture Estimation and Model Refinement Using Monocular Camera:
Ambiguity Limitation by Inequality Constraints,
AFGR98(268-273).
IEEE DOI
BibRef
9800
Tanibata, N.[Nobuhiko],
Shimada, N.[Nobutaka],
Shirai, Y.[Yoshiaki],
Extraction of Hand Features for Recognition of Sign Language Words,
VI02(391).
PDF File.
0208
BibRef
Bowden, R.[Richard],
Windridge, D.[David],
Kadir, T.[Timor],
Zisserman, A.[Andrew],
Brady, M.[Michael],
A Linguistic Feature Vector for the Visual Interpretation of Sign
Language,
ECCV04(Vol I: 390-401).
Springer DOI
0405
BibRef
Craven, M.P.[Michael P.],
Curtis, K.M.[K. Mervyn],
GesRec3D: A Real-Time Coded Gesture-to-Speech System with Automatic
Segmentation and Recognition Thresholding Using Dissimilarity Measures,
GW03(231-238).
Springer DOI
0405
BibRef
Bossard, B.[Bruno],
Braffort, A.[Annelies],
Jardino, M.[Michèle],
Some Issues in Sign Language Processing,
GW03(90-100).
Springer DOI
0405
BibRef
Vogler, C.[Christian],
Metaxas, D.N.[Dimitris N.],
Handshapes and Movements: Multiple-Channel American Sign Language
Recognition,
GW03(247-258).
Springer DOI
0405
BibRef
Holler, J.[Judith],
Beattie, G.[Geoffrey],
The Interaction of Iconic Gesture and Speech in Talk,
GW03(63-69).
Springer DOI
0405
BibRef
Cristilli, C.[Carla],
Carlomagno, S.[Sergio],
Conceptual and Lexical Factors in the Production of Speech and
Conversational Gestures: Neuropsychological Evidence,
GW03(70-76).
Springer DOI
0405
BibRef
Zieren, J.[Jörg],
Kraiss, K.F.[Karl-Friedrich],
Robust Person-Independent Visual Sign Language Recognition,
IbPRIA05(I:520).
Springer DOI
0509
BibRef
Dick, T.[Thorsten],
Zieren, J.[Jörg],
Kraiss, K.F.[Karl-Friedrich],
Visual Hand Posture Recognition in Monocular Image Sequences,
DAGM06(566-575).
Springer DOI
0610
BibRef
Fillbrandt, H.,
Akyol, S.,
Kraiss, K.F.,
Extraction of 3D hand shape and posture from images sequences from sign
language recognition,
AMFG03(181-186).
IEEE DOI
0311
BibRef
Bauer, B.,
Kraiss, K.F.,
Video-based sign recognition using self-organizing subunits,
ICPR02(II: 434-437).
IEEE DOI
0211
BibRef
Bauer, B.[Britta],
Hienz, H.[Hermann],
Kraiss, K.F.[Karl-Friedrich],
Video-based Continuous Sign Language Recognition Using Statistical
Methods,
ICPR00(Vol II: 463-466).
IEEE DOI
0009
BibRef
Earlier: A2, A1, A3:
HMM-Based Continuous Sign Language Recognition Using Stochastic
Grammars,
GW99(185).
Springer DOI
9903
BibRef
Bauer, B.[Britta],
Hienz, H.[Hermann],
Relevant Features for Video-Based Continuous Sign Language Recognition,
AFGR00(440-445).
IEEE DOI
0003
BibRef
Chen, W.Y.[Wei-Ying],
Fujiki, R.J.[Ryu-Ji],
Arita, D.S.[Dai-Saku],
Taniguchi, R.I.[Rin-Ichiro],
Real-time 3D Hand Shape Estimation based on Image Feature Analysis and
Inverse Kinematics,
CIAP07(247-252).
IEEE DOI
0709
BibRef
Earlier: A2, A3, A4, Only:
Real-Time 3D Hand Shape Estimation Based on Inverse Kinematics and
Physical Constraints,
CIAP05(850-858).
Springer DOI
0509
BibRef
Horimoto, S.,
Arita, D.S.[Dai-Saku],
Taniguchi, R.I.[Rin-Ichiro],
Real-time hand shape recognition for human interface,
CIAP03(20-25).
IEEE DOI
0310
BibRef
Funck, S.,
Video-Based Handsign Recognition for Intuitive
Human-Computer-Interaction,
DAGM02(26 ff.).
Springer DOI
0303
BibRef
Yuan, Q.[Quan],
Gao, W.[Wen],
Yao, H.X.[Hong-Xun],
Wang, C.L.[Chun-Li],
Recognition of strong and weak connection models in continuous sign
language,
ICPR02(I: 75-78).
IEEE DOI
0211
BibRef
Erdem, U.M.,
Sclaroff, S.,
Automatic detection of relevant head gestures in american sign language
communication,
ICPR02(I: 460-463).
IEEE DOI
0211
BibRef
Imagawa, K.,
Matsuo, H.,
Taniguchi, R.,
Arita, D.,
Lu, S.,
Igi, S.,
Recognition of Local Features for Camera-based Sign Language
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ICPR00(Vol IV: 849-853).
IEEE DOI
0009
BibRef
Imagawa, K.,
Lu, S.,
Igi, S.,
Color-Based Hands Tracking System for Sign Language Recognition,
AFGR98(462-467).
IEEE DOI
BibRef
9800
Quek, F.K.H.[Francis K.H.],
McNeill, D.[David],
Bryll, R.[Robert],
Kirbas, C.[Cemil],
Arslan, H.[Hasan],
McCullough, K.E.[Karl E.],
Furuyama, N.[Nobuhiro],
Ansari, R.[Rashid],
Gesture, Speech, and Gaze Cues for Discourse Segmentation,
CVPR00(II: 247-254).
IEEE DOI
0005
BibRef
Quek, F.K.H.,
McNeill, D.,
Ansari, R.,
Ma, X.F.,
Bryll, R.,
Duncan, S.,
McCullough, K.E.,
Gesture Cues for Conversational Interaction in Monocular Video,
RATFG99(xx-yy).
BibRef
9900
Vogler, C.[Christian],
Metaxas, D.N.[Dimitris N.],
Toward Scalability in ASL Recognition:
Breaking Down Signs into Phonemes,
GW99(211).
Springer DOI
9903
BibRef
Sowa, T.[Timo],
Fröhlich, M.[Martin],
Latoschik, M.E.[Marc Erich],
Temporal Symbolic Integration Applied to a Multimodal System Using
Gestures and Speech,
GW99(291).
Springer DOI
9903
BibRef
Wachsmuth, I.[Ipke],
Communicative Rhythm in Gesture and Speech,
GW99(277).
Springer DOI
9903
BibRef
Liang, R.H.[Rung-Huei],
Ouhyoung, M.[Ming],
A Real-Time Continuous Gesture Recognition System for Sign Language,
AFGR98(558-567).
IEEE DOI
BibRef
9800
Yoshino, K.[Kazuyoshi],
Kawashima, T.[Toshio],
Aoki, Y.[Yoshinao],
Recognition of Japanese Sign Language from Image Sequence Using
Color Combination,
ICIP96(III: 511-514).
IEEE DOI
BibRef
9600
Erenshteyn, R.,
Laskov, P.,
Foulds, R.,
Messing, L.,
Stern, G.,
A Recognition Approach to Gesture Language Understanding,
ICPR96(III: 431-435).
IEEE DOI
9608
(Alfred I. du Pont Institute, Delaware, USA)
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Sign Language, General, Other Languages, Chinese, Arabic .