22.4.2 Gesture Recognition Techniques

Lipscomb, J.S.[James S.],
A Trainable Gesture Recognizer,
PR(24), No. 9, 1991, pp. 895-907.
Elsevier DOI BibRef 9100

Darrell, T.J., Essa, I.A., Pentland, A.P.,
Task-Specific Gesture Analysis in Real-Time Using Interpolated Views,
PAMI(18), No. 12, December 1996, pp. 1236-1242.
IEEE DOI 9701
Hand and face gestures using appearance-based model. BibRef

Becker, D.A., Pentland, A.P.,
Using a Virtual Environment to Teach Cancer Patients, T'Ai Chi, Relaxation and Self-Imagery,
Inter3D97(XX-YY). BibRef 9700

Becker, D.A.[David A.],
Sensei: A Real-time Recognition, Feedback, and Training System for T'ai Chi Gestures,
Vismod--426, 1997.
PS File. BibRef 9700

Nam, Y., Wohn, K.,
Recognition of Hand Gestures with 3D, Nonlinear Arm Movement,
PRL(18), No. 1, January 1997, pp. 105-113. 9704
BibRef

Bobick, A.F.[Aaron F.], Wilson, A.D.[Andrew D.],
A State Based Approach to the Representation and Recognition of Gesture,
PAMI(19), No. 12, December 1997, pp. 1325-1337.
IEEE DOI 9712
BibRef
Earlier:
A State Based Technique for the Summarization and Recognition of Gesture,
ICCV95(382-388).
IEEE DOI BibRef
And: Vismod-337, 1995.
HTML Version. and
PS File. BibRef

Wilson, A.D.[Andrew D.], and Bobick, A.F.[Aaron F.],
Parametric Hidden Markov Models for Gesture Recognition,
PAMI(21), No. 9, September 1999, pp. 884-900.
IEEE DOI BibRef 9909
And: Vismod-508, September 1999.
PDF File. BibRef
Earlier:
Nonlinear PHMMs for the Interpretation of Parameterized Gesture,
CVPR98(879-884).
IEEE DOI BibRef Vismod-424, 1998.
HTML Version. and
PS File. BibRef
And:
Recognition and Interpretation of Parametric Gesture,
ICCV98(329-336).
IEEE DOI BibRef
And: Vismod-421, 1997.
HTML Version. and
PS File. Parameterized gestures. BibRef

Wilson, A.D.[Andrew D.], Bobick, A.F.[Aaron F.],
Using Configuration States for the Representation and Recognition of Gesture,
Vismod-308, 1994.
HTML Version. and
PS File. BibRef 9400

Bobick, A.F.[Aaron F.], and Wilson, A.W.[Andy W.],
State-Based Recognition of Gesture,
MBR97(Chapter 9), MIT. BibRef 9700

Wilson, A.D.[Andrew D.], Bobick, A.F.[Aaron F.],
Realtime Online Adaptive Gesture Recognition,
ICPR00(Vol I: 270-275).
IEEE DOI 0009
BibRef
And: RATFG99(xx-yy). BibRef
And: Vismod--505, August 1999.
PDF File. BibRef

Wilson, A.W., Bobick, A.F.,
Learning Visual Behavior for Gesture Analysis,
SCV95(229-234).
IEEE DOI BibRef 9500
And: Vismod-337, 1995.
HTML Version. and
PS File. M.I.T. BibRef

Wilson, A.D., Bobick, A.F., Cassell, J.[Justine],
Temporal Classification of Natural Gesture with Application to Video Coding,
CVPR97(948-954).
IEEE DOI 9704
BibRef
And:
Recovering the Temporal Structure of Natural Gesture,
AFGR96(66-71).
IEEE DOI 9610
BibRef
And: Vismod-388, 1997.
HTML Version. and
PS File. BibRef

Campbell, L.W., Becker, D.A., Azarbayejani, A., Bobick, A.F., Pentland, A.,
Invariant features for 3-D gesture recognition,
AFGR96(157-162).
IEEE DOI 9610
BibRef

Lee, H.K., Kim, J.H.,
Gesture Spotting from Continuous Hand Motion,
PRL(19), No. 5-6, April 1998, pp. 513-520. 9808
BibRef

Lee, H.K.[Hyeon-Kyu], Kim, J.H.[Jin H.],
An HMM-Based Threshold Model Approach for Gesture Recognition,
PAMI(21), No. 10, October 1999, pp. 961-973.
IEEE DOI Likelihood threshold on the gesture to filter other motions. BibRef 9910

Zhao, M.[Meide], Quek, F.K.H.[Francis K.H.], Wu, X.D.[Xin-Dong],
RIEVL: Recursive Induction Learning in Hand Gesture Recognition,
PAMI(20), No. 11, November 1998, pp. 1174-1185.
IEEE DOI 9811
Learning. 94% performance. Compares with various learning algorithms. BibRef

Quek, F.K.H., Zhao, M.,
Inductive learning in hand pose recognition,
AFGR96(78-83).
IEEE DOI 9610
BibRef

Yasumuro, Y.[Yoshihiro], Chen, Q.[Qian], Chihara, K.[Kunihiro],
Three-dimensional modeling of the human hand with motion constraints,
IVC(17), No. 2, February 1999, pp. 149-156.
Elsevier DOI BibRef 9902
Earlier:
3D Modeling of Human Hand with Motion Constraints,
3DIM97(11 - Human Shape Modeling) 9702
BibRef

Davis, J., Shah, M.,
Toward 3-D Gesture Recognition,
PRAI(13), No. 3, May 1999, pp. 381. BibRef 9905
Earlier:
Recognizing Hand Gestures,
ECCV94(A:331-340).
Springer DOI BibRef

Nam, Y., Wohn, K., Lee-Kwang, H.,
Modeling and Recognition of Hand Gesture Using Colored Petri Nets,
SMC-A(29), No. 5, September 1999, pp. 515.
IEEE Top Reference. BibRef 9909

Huang, C.L.[Chung-Lin], Wu, M.S.[Ming-Shan], Jeng, S.H.[Sheng-Hung],
Gesture recognition using the multi-PDM method and hidden Markov model,
IVC(18), No. 11, August 2000, pp. 865-879.
Elsevier DOI 0006
BibRef

Huang, K.S.[Kohsia S.], Trivedi, M.M.[Mohan M.],
Video arrays for real-time tracking of person, head, and face in an intelligent room,
MVA(14), No. 2, June 2003, pp. 103-111.
WWW Link. 0307
BibRef

Mikic, I.[Ivana], Huang, K.S.[Kohsia S.], Trivedi, M.M.[Mohan M.],
Activity monitoring and summarization for an intelligent meeting room,
HUMO00(107-112).
IEEE Top Reference.
PDF File.
PDF File. 0010
BibRef

Ng, K.C., Ishiguro, H., Trivedi, M.M., Sogo, T.,
Monitoring Dynamically Changing Environments by Ubiquitous Vision System,
VS99(xx-yy). BibRef 9900

Juang, C.F., Ku, K.C.[Ksuan-Chun],
A recurrent fuzzy network for fuzzy temporal sequence processing and gesture recognition,
SMC-B(35), No. 4, August 2005, pp. 646-658.
IEEE DOI 0508
BibRef

Kim, D.[Daehwan], Song, J.Y.[Jin-Young], Kim, D.J.[Dai-Jin],
Simultaneous Gesture Segmentation and Recognition based on Forward Spotting Accumulative HMMs,
PR(40), No. 11, November 2007, pp. 3012-3026.
Elsevier DOI 0707
BibRef
Earlier: A2, A1, Only: ICPR06(I: 1231-1235).
IEEE DOI 0609
Gesture segmentation; Gesture recognition; Hidden Markov model; Forward spotting; Accumulative HMM; Competitive differential observation probability; Association mapping; Smart home control BibRef

Quattoni, A.[Ariadna], Wang, S.[Sybor], Morency, L.P.[Louis-Philippe], Collins, M.[Morency], Darrell, T.J.[Trevor J.],
Hidden Conditional Random Fields,
PAMI(29), No. 10, October 2007, pp. 1848-1852.
IEEE DOI 0710
Inputs represened by graph. BibRef

Demirdjian, D.[David], Varri, C.[Chenna],
Recognizing Gestures for Virtual and Real World Interaction,
CVS09(1-10).
Springer DOI 0910
BibRef

Wang, S.B.[Sy Bor], Quattoni, A.[Ariadna], Morency, L.P.[Louis-Philippe], Demirdjian, D.[David],
Hidden Conditional Random Fields for Gesture Recognition,
CVPR06(II: 1521-1527).
IEEE DOI 0606
BibRef

Song, Y.[Yale], Demirdjian, D.[David], Davis, R.[Randall],
Tracking body and hands for gesture recognition: NATOPS aircraft handling signals database,
FG11(500-506).
IEEE DOI 1103
BibRef

Song, Y.[Yale], Demirdjian, D.[David], Davis, R.[Randall],
Multi-signal gesture recognition using temporal smoothing hidden conditional random fields,
FG11(388-393).
IEEE DOI 1103
BibRef

Morency, L.P.[Louis-Philippe], Quattoni, A.[Ariadna], Darrell, T.J.[Trevor J.],
Latent-Dynamic Discriminative Models for Continuous Gesture Recognition,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Zhao, G.Y.[Guo-Ying], Pietikainen, M.[Matti],
Boosted multi-resolution spatiotemporal descriptors for facial expression recognition,
PRL(30), No. 12, 1 September 2009, pp. 1117-1127.
Elsevier DOI 0909
BibRef
Earlier:
Principal appearance and motion from boosted spatiotemporal descriptors,
CVPR4HB08(1-8).
IEEE DOI 0806
Principal appearance and motion; Spatiotemporal descriptors; Facial expression recognition; AdaBoost
See also Unsupervised dynamic texture segmentation using local spatiotemporal descriptors. BibRef

Guo, Y.[Yimo], Zhao, G.Y.[Guo-Ying], Pietikäinen, M.[Matti],
Dynamic Facial Expression Recognition With Atlas Construction and Sparse Representation,
IP(25), No. 5, May 2016, pp. 1977-1992.
IEEE DOI 1604
BibRef
Earlier:
Dynamic Facial Expression Recognition Using Longitudinal Facial Expression Atlases,
ECCV12(II: 631-644).
Springer DOI 1210
face recognition BibRef

Behzad, M.[Muzammil], Li, X.B.[Xiao-Bai], Zhao, G.Y.[Guo-Ying],
Disentangling 3D/4D Facial Affect Recognition With Faster Multi-View Transformer,
SPLetters(28), 2021, pp. 1913-1917.
IEEE DOI 2110
Computational modeling, Feature extraction, Hidden Markov models, Training, Faces, 3D/4D faces BibRef

Meng, H.Y.[Hong-Ying], Pears, N.E.[Nick E.],
Descriptive temporal template features for visual motion recognition,
PRL(30), No. 12, 1 September 2009, pp. 1049-1058.
Elsevier DOI 0909
Gesture recognition; Event recognition; Embedded vision; Motion analysis; Machine learning BibRef

Bandera, J.P., Marfil, R., Bandera, A., Rodriguez, J.A., Molina-Tanco, L., Sandoval, F.,
Fast gesture recognition based on a two-level representation,
PRL(30), No. 13, 1 October 2009, pp. 1181-1189.
Elsevier DOI 0909
Gesture recognition; Adaptive curvature; 3D trajectory matching; Dynamic time warping
See also Pyramid segmentation algorithms revisited. BibRef

Kirishima, T.[Toshiyuki], Manabe, Y.[Yoshitsugu], Sato, K.[Kosuke], Chihara, K.[Kunihiro],
Real-Time Multiview Recognition of Human Gestures by Distributed Image Processing,
JIVP(2010), No. 2010, pp. xx-yy.
DOI Link 0909
BibRef
Earlier:
Multi-rate recognition of human gestures by concurrent frame rate control,
IVCNZ08(1-6).
IEEE DOI 0811
BibRef

Caridakis, G.[George], Karpouzis, K.[Kostas], Drosopoulos, A.I.[Athanasios I.], Kollias, S.[Stefanos],
SOMM: Self organizing Markov map for gesture recognition,
PRL(31), No. 1, 1 January 2010, pp. 52-59.
Elsevier DOI 1001
Gesture recognition; Spatiotemporal pattern recognition; Self organizing maps; Markov models; Gesture-based interaction BibRef

Suk, H.I.[Heung-Il], Sin, B.K.[Bong-Kee], Lee, S.W.[Seong-Whan],
Hand gesture recognition based on dynamic Bayesian network framework,
PR(43), No. 9, September 2010, pp. 3059-3072.
Elsevier DOI 1006
BibRef
Earlier:
Analyzing human interactions with a network of dynamic probabilistic models,
WACV09(1-6).
IEEE DOI 0912
BibRef
Earlier:
Robust modeling and recognition of hand gestures with dynamic Bayesian network,
ICPR08(1-4).
IEEE DOI 0812
BibRef
Earlier:
Recognizing hand gestures using dynamic Bayesian network,
FG08(1-6).
IEEE DOI 0809
Hand gestures recognition; Dynamic Bayesian network; Coupled hidden Markov model; Continuous gesture spotting BibRef

Suk, H.I.[Heung-Il], Jain, A.K., Lee, S.W.[Seong-Whan], <
A Network of Dynamic Probabilistic Models for Human Interaction Analysis,
CirSysVideo(21), No. 7, July 2011, pp. 932-945.
IEEE DOI 1107
BibRef

England, D.[David], (Ed.)
Whole Body Interaction,
Springer2011, ISBN: 978-0-85729-432-6

Kaâniche, M.B.[Mohamed-Bécha], Brémond, F.[François],
Recognizing Gestures by Learning Local Motion Signatures of HOG Descriptors,
PAMI(34), No. 11, November 2012, pp. 2247-2258.
IEEE DOI 1209
BibRef
Earlier:
Gesture recognition by learning local motion signatures,
CVPR10(2745-2752).
IEEE DOI 1006
BibRef
Earlier:
Tracking HoG Descriptors for Gesture Recognition,
AVSBS09(140-145).
IEEE DOI 0909
Learn local motion signatures of HOGs. Reliable tracking of local features. Learn on one individual. KTH and IXMAS databases. BibRef

Kim, W.[Woosuk], Kuzuoka, H.[Hideaki], Suzuki, K.[Kenji],
Online Continuous Scale Estimation of Hand Gestures,
IEICE(E95-D), No. 10, October 2012, pp. 2447-2455.
WWW Link. 1210
BibRef

Gupta, P.[Prince], da Vitoria Lobo, N.[Niels], LaViola Jr., J.J.[Joseph J.],
Markerless tracking and gesture recognition using polar correlation of camera optical flow,
MVA(24), No. 3, April 2013, pp. 651-666.
WWW Link. 1303
BibRef

Cholewa, M.[Michal], Glomb, P.[Przemyslaw],
Estimation of the number of states for gesture recognition with Hidden Markov Models based on the number of critical points in time sequence,
PRL(34), No. 5, 1 April 2013, pp. 574-579.
Elsevier DOI 1303
Hidden Markov Models; Motion capture; Parameters selection BibRef

Zhou, Y.[Yin], Liu, K.[Kai], Carrillo, R.E.[Rafael E.], Barner, K.E.[Kenneth E.], Kiamilev, F.[Fouad],
Kernel-based sparse representation for gesture recognition,
PR(46), No. 12, 2013, pp. 3208-3222.
Elsevier DOI 1308
Gesture recognition BibRef

Mahbub, U.[Upal], Imtiaz, H.[Hafiz], Roy, T.[Tonmoy], Rahman, M.S.[M. Shafiur], Ahad, M.A.R.[M. Atiqur Rahman],
A template matching approach of one-shot-learning gesture recognition,
PRL(34), No. 15, 2013, pp. 1780-1788.
Elsevier DOI 1309
Gesture recognition BibRef

Wan, J., Athitsos, V., Jangyodsuk, P., Escalante, H.J., Ruan, Q., Guyon, I.,
CSMMI: Class-Specific Maximization of Mutual Information for Action and Gesture Recognition,
IP(23), No. 7, July 2014, pp. 3152-3165.
IEEE DOI 1407
Complexity theory BibRef

Conly, C., Dillhoff, A., Athitsos, V.,
Leveraging intra-class variations to improve large vocabulary gesture recognition,
ICPR16(907-912)
IEEE DOI 1705
Assistive technology, Gesture recognition, Hidden Markov models, Training, Trajectory, Vocabulary BibRef

Yao, Y.[Yuan], Fu, Y.[Yun],
Contour Model-Based Hand-Gesture Recognition Using the Kinect Sensor,
CirSysVideo(24), No. 11, November 2014, pp. 1935-1944.
IEEE DOI 1411
computational complexity BibRef

Nyirarugira, C.[Clementine], Kim, T.[Tae_Yong],
Stratified gesture recognition using the normalized longest common subsequence with rough sets,
SP:IC(30), No. 1, 2015, pp. 178-189.
Elsevier DOI 1412
Gesture vocabulary BibRef

Krishnan, R.[Ravikiran], Sarkar, S.[Sudeep],
Conditional distance based matching for one-shot gesture recognition,
PR(48), No. 4, 2015, pp. 1302-1314.
Elsevier DOI 1502
Warp vector BibRef

Ghosh, D.K.[Dipak Kumar], Ari, S.[Samit],
On an algorithm for Vision-based hand gesture recognition,
SIViP(10), No. 4, April 2016, pp. 655-662.
WWW Link. 1604
BibRef

Sahoo, J.P.[Jaya Prakash], Ari, S.[Samit], Ghosh, D.K.[Dipak Kumar],
Hand gesture recognition using DWT and F-ratio based feature descriptor,
IET-IPR(12), No. 10, October 2018, pp. 1780-1787.
DOI Link 1809
BibRef

Shen, J.C.[Jun-Chen], Luo, Y.L.[Yan-Lin], Wu, Z.K.[Zhong-Ke], Tian, Y.[Yun], Deng, Q.Q.[Qing-Qiong],
CUDA-based real-time hand gesture interaction and visualization for CT volume dataset using leap motion,
VC(32), No. 3, March 2016, pp. 359-370.
WWW Link. 1604
BibRef

Escalante, H.J.[Hugo Jair], Morales, E.F.[Eduardo F.], Sucar, L.E.[L. Enrique],
A naïve Bayes baseline for early gesture recognition,
PRL(73), No. 1, 2016, pp. 91-99.
Elsevier DOI 1604
Early recognition BibRef

Wang, Y.[Yu], Kato, J.[Jien],
Efficient Local Feature Encoding for Human Action Recognition with Approximate Sparse Coding,
IEICE(E99-D), No. 4, April 2016, pp. 1212-1220.
WWW Link. 1604
BibRef
Earlier:
Action recognition with approximate sparse coding,
ICIP15(770-774)
IEEE DOI 1512
action recognition BibRef

Suzuki, T., Kato, J., Wang, Y.[Yu], Mase, K.,
Domain Adaptive Action Recognition with Integrated Self-Training and Feature Selection,
ACPR13(105-109)
IEEE DOI 1408
gesture recognition BibRef

Poularakis, S.[Stergios], Katsavounidis, I.[Ioannis],
Initialization of dynamic time warping using tree-based fast Nearest Neighbor,
PRL(79), No. 1, 2016, pp. 31-37.
Elsevier DOI 1608
Dynamic time warping BibRef

Hu, B., Yuan, J., Wu, Y.,
Discriminative Action States Discovery for Online Action Recognition,
SPLetters(23), No. 10, October 2016, pp. 1374-1378.
IEEE DOI 1610
gesture recognition BibRef

Barros, P.[Pablo], Maciel-Junior, N.T.[Nestor T.], Fernandes, B.J.T.[Bruno J.T.], Bezerra, B.L.D.[Byron L.D.], Fernandes, S.M.M.[Sergio M.M.],
A dynamic gesture recognition and prediction system using the convexity approach,
CVIU(155), No. 1, 2017, pp. 139-149.
Elsevier DOI 1702
Gesture recognition BibRef

Belgacem, S.[Selma], Chatelain, C.[Clément], Paquet, T.[Thierry],
Gesture sequence recognition with one shot learned CRF/HMM hybrid model,
IVC(61), No. 1, 2017, pp. 12-21.
Elsevier DOI 1704
Gesture recognition BibRef

Nguyen-Dinh, L.V.[Long-Van], Calatroni, A.[Alberto], Tröster, G.[Gerhard],
Supporting One-Time Point Annotations for Gesture Recognition,
PAMI(39), No. 11, November 2017, pp. 2270-2283.
IEEE DOI 1710
Data models, Gesture recognition, Labeling, Streaming media, Time series analysis, Training, Training data, One-time point annotation, boundary correction, gesture spotting, kinect sensors, weakly supervised learning. BibRef

Simão, M.[Miguel], Neto, P.[Pedro], Gibaru, O.[Olivier],
Using data dimensionality reduction for recognition of incomplete dynamic gestures,
PRL(99), No. 1, 2017, pp. 32-38.
Elsevier DOI 1710
Gesture, recognition BibRef

Simão, M.[Miguel], Neto, P.[Pedro], Gibaru, O.[Olivier],
EMG-based online classification of gestures with recurrent neural networks,
PRL(128), 2019, pp. 45-51.
Elsevier DOI 1912
Online gesture recognition, long short-term memory networks, Recurrent neural networks, Time series classification, LSTM, EMG BibRef

Slapek, M.[Michal], Paszkiel, S.[Szczepan],
Detection of gestures without begin and end markers by fitting into Bézier curves with least squares method,
PRL(100), No. 1, 2017, pp. 83-88.
Elsevier DOI 1712
Motion analysis BibRef

Fermüller, C.[Cornelia], Wang, F.[Fang], Yang, Y.Z.[Ye-Zhou], Zampogiannis, K.[Konstantinos], Zhang, Y.[Yi], Barranco, F.[Francisco], Pfeiffer, M.[Michael],
Prediction of Manipulation Actions,
IJCV(126), No. 2-4, April 2018, pp. 358-374.
Springer DOI 1804
Watching actions of hands. BibRef

Zhu, G., Zhang, L., Shen, P., Song, J., Shah, S.A.A., Bennamoun, M.,
Continuous Gesture Segmentation and Recognition Using 3DCNN and Convolutional LSTM,
MultMed(21), No. 4, April 2019, pp. 1011-1021.
IEEE DOI 1903
Gesture recognition, Spatiotemporal phenomena, Videos, Motion segmentation, Proposals, dilation BibRef

Zhang, L.A.[Li-Ang], Zhu, G.M.[Guang-Ming], Shen, P.Y.[Pei-Yi], Song, J.[Juan],
Learning Spatiotemporal Features Using 3DCNN and Convolutional LSTM for Gesture Recognition,
EmotionComp17(3120-3128)
IEEE DOI 1802
Computer architecture, Correlation, Gesture recognition, Spatiotemporal phenomena, Videos BibRef

Patil, A.R.[Anjali R.], Subbaraman, S.,
A spatiotemporal approach for vision-based hand gesture recognition using Hough transform and neural network,
SIViP(13), No. 2, March 2019, pp. 413-421.
WWW Link. 1904
BibRef

Reed, S.B.[Salyer B.], Reed, T.R.C.[Tyson R.C.], Dascalu, S.M.[Sergiu M.],
Spatiotemporal recursive hyperspheric classification with an application to dynamic gesture recognition,
AI(270), 2019, pp. 41-66.
Elsevier DOI 1906
Spatiotemporal recursive hyperspheric classification, Recursive hyperspheric classification, Gesture recognition, Spatiotemporal BibRef

Lu, Z.[Zhi], Qin, S.Y.[Shi-Yin], Li, X.J.[Xiao-Jie], Li, L.W.[Lian-Wei], Zhang, D.H.[Ding-Hao],
One-shot learning hand gesture recognition based on modified 3d convolutional neural networks,
MVA(30), No. 7-8, October 2019, pp. 1157-1180.
Springer DOI 1911
BibRef

Zhao, W.[Wei], Bao, Y.[Yan], Qu, H.[Huiyan],
Hand gesture understanding by weakly-supervised fusing shallow/deep image attributes,
SP:IC(82), 2020, pp. 115760.
Elsevier DOI 2001
Weakly-supervised, Finger-level metric, Shallow/deep, Feature fusion, Hand gesture BibRef

Bose, S.R.[S. Rubin], Kumar, V.S.[V. Sathiesh],
Efficient inception V2 based deep convolutional neural network for real-time hand action recognition,
IET-IPR(14), No. 4, 27 March 2020, pp. 688-696.
DOI Link 2003
BibRef

Peng, Y.Q.[Yu-Qing], Tao, H.F.[Hui-Fang], Li, W.[Wei], Yuan, H.T.[Hong-Tao], Li, T.J.[Tie-Jun],
Dynamic gesture recognition based on feature fusion network and variant ConvLSTM,
IET-IPR(14), No. 11, September 2020, pp. 2480-2486.
DOI Link 2009
BibRef

Chen, H.Y.[Hao-Yu], Liu, X.[Xin], Shi, J.G.[Jin-Gang], Zhao, G.Y.[Guo-Ying],
Temporal Hierarchical Dictionary Guided Decoding for Online Gesture Segmentation and Recognition,
IP(29), 2020, pp. 9689-9702.
IEEE DOI 2011
BibRef
Earlier: A1, A2, A4, Only:
Temporal Hierarchical Dictionary with HMM for Fast Gesture Recognition,
ICPR18(3378-3383)
IEEE DOI 1812
Hidden Markov models, Dictionaries, Entropy, Decoding, Skeleton, Neural networks, Temporal context, skeleton-based recognition. Dictionaries, Hidden Markov models, Redundancy, Probability, Training, Gesture recognition, Hidden Markov Model, Relative Entropy BibRef

Monsley, K.A.[K. Anish], Yadav, K.S.[Kuldeep Singh], Misra, S.[Songhita], Khan, T.[Taimoor], Bhuyan, M.K., Laskar, R.H.[Rabul Hussain],
Segregation of meaningful strokes, a pre-requisite for self co-articulation removal in isolated dynamic gestures,
IET-IPR(15), No. 5, 2021, pp. 1166-1178.
DOI Link 2106
BibRef

Kim, B.[Buemjun], Lee, K.[Kyoung_Hee],
Study on Hand Gesture Recognition with CNN-Based Deep Learning,
IJCVR(11), No. 6, 2021, pp. 571-579.
DOI Link 2111
BibRef

Ivanescu, M.[Mircea], Popescu, N.[Nirvana], Popescu, D.[Decebal],
Delay Time Fractional-Order Model for the Soft Exoskeleton Glove Control,
HMS(51), No. 6, December 2021, pp. 740-745.
IEEE DOI 2112
Biomechanics, Control design, Exoskeletons, Stability, Biomechanics, control design, exoskeleton, stability BibRef

Liu, Y.H.[Yan-Hong], Song, S.[Shouan], Yang, L.[Lei], Bian, G.B.[Gui-Bin], Yu, H.N.[Hong-Nian],
A novel dynamic gesture understanding algorithm fusing convolutional neural networks with hand-crafted features,
JVCIR(83), 2022, pp. 103454.
Elsevier DOI 2202
Dynamic gesture understanding, Transfer learning, Feature fusion, Dempster-Shafer evidence theory, Support vector machine BibRef

Xie, N.W.[Ning-Wei], Miao, Z.J.[Zhen-Jiang], Zhang, X.P.[Xiao-Ping], Xu, W.[Wanru], Li, M.[Min], Wang, J.J.[Jia-Ji],
Sequential Gesture Learning for Continuous Labanotation Generation Based on the Fusion of Graph Neural Networks,
CirSysVideo(32), No. 6, June 2022, pp. 3722-3734.
IEEE DOI 2206
Motion segmentation, Feature extraction, Joints, Directed graphs, Data models, Spatiotemporal phenomena, Bones, Labanotation, connectionist temporal classification BibRef

Sagayam, K.M.[K. Martin], Andrushia, A.D.[A. Diana], Ghosh, A.[Ahona], Deperlioglu, O.[Omer], Elngar, A.A.[Ahmed A.],
Recognition of Hand Gesture Image Using Deep Convolutional Neural Network,
IJIG(22), No. 3 2022, pp. 2140008.
DOI Link 2206
BibRef

Calado, A.[Alexandre], Roselli, P.[Paolo], Errico, V.[Vito], Magrofuoco, N.[Nathan], Vanderdonckt, J.[Jean], Saggio, G.[Giovanni],
A Geometric Model-Based Approach to Hand Gesture Recognition,
SMCS(52), No. 10, October 2022, pp. 6151-6161.
IEEE DOI 2209
Gesture recognition, Trajectory, Training, Assistive technologies, Accelerometers, Gyroscopes, Algebra, Deep learning (DL), nearest neighbor classification (NNC) BibRef

Song, J.H.[Jae-Hun], Kong, K.[Kyeongbo], Kang, S.J.[Suk-Ju],
Dynamic Hand Gesture Recognition Using Improved Spatio-Temporal Graph Convolutional Network,
CirSysVideo(32), No. 9, September 2022, pp. 6227-6239.
IEEE DOI 2209
Feature extraction, Gesture recognition, Task analysis, Joints, Convolution, Bones, Hand skeleton, graph convolutional network, multi-stream network BibRef

Chan, P.P.K.[Patrick P. K.], Li, Q.X.[Qiu-Xia], Fang, Y.F.[Yin-Feng], Xu, L.[Linyi], Li, K.[Kairu], Liu, H.H.[Hong-Hai], Yeung, D.S.[Daniel S.],
Unsupervised Domain Adaptation for Gesture Identification Against Electrode Shift,
HMS(52), No. 6, December 2022, pp. 1271-1280.
IEEE DOI 2212
Electrodes, Calibration, Benchmark testing, Gesture recognition, Data collection, Feature extraction, Unsupervised learning, unsupervised domain adaptation (UDA) BibRef

Huang, W., Chan, P.P.K.[Patrick P. K.], Zhou, D., Fang, Y.F.[Yin-Feng], Liu, H.H.[Hong-Hai], Yeung, D.S.[Daniel S.],
Multiple classifier system with sensitivity based dynamic weighting fusion for hand gesture recognition,
ICWAPR16(31-36)
IEEE DOI 1611
Electrodes BibRef

Zhou, Y.G.[Yuan-Guo], Shui, S.[Shan], Cai, Y.J.[Yi-Jun], Chen, C.Y.[Cheng-Ying], Chen, Y.S.[Ying-Shi], Abdi-Ghaleh, R.[Reza],
An improved all-optical diffractive deep neural network with less parameters for gesture recognition,
JVCIR(90), 2023, pp. 103688.
Elsevier DOI 2301
Deep learning, Diffractive deep neural network, Gesture recognition BibRef

Garg, M.[Mallika], Ghosh, D.[Debashis], Pradhan, P.M.[Pyari Mohan],
Multiscaled Multi-Head Attention-Based Video Transformer Network for Hand Gesture Recognition,
SPLetters(30), 2023, pp. 80-84.
IEEE DOI 2302
Head, Transformers, Feature extraction, Gesture recognition, Image color analysis, Tensors, Optical flow, video transformer BibRef

Asif, U.[Umar], Mehta, D.[Deval], von Cavallar, S.[Stefan], Tang, J.B.[Jian-Bin], Harrer, S.[Stefan],
DeepActsNet: A deep ensemble framework combining features from face, hands, and body for action recognition,
PR(139), 2023, pp. 109484.
Elsevier DOI 2304
Activity recognition, Convolutional neural networks, Deep learning BibRef

Tian, Q.H.[Qiu-Hong], Sun, W.X.[Wen-Xuan], Zhang, L.Z.[Li-Zao], Pan, H.[Hao], Chen, Q.H.[Qiao-Hong], Wu, J.L.[Jia-Lu],
Gesture image recognition method based on DC-Res2Net and a feature fusion attention module,
JVCIR(95), 2023, pp. 103891.
Elsevier DOI 2309
Hand gesture recognition, Multiscale features, Feature fusion attention module, Selective kernel network BibRef

Fu, Z.[Zheng], Chen, J.J.[Jun-Jie], Jiang, K.[Kun], Wang, S.[Sijia], Wen, J.[Junze], Yang, M.M.[Meng-Meng], Yang, D.[Diange],
Traffic Police 3D Gesture Recognition Based on Spatial-Temporal Fully Adaptive Graph Convolutional Network,
ITS(24), No. 9, September 2023, pp. 9518-9531.
IEEE DOI 2310
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Liang, H.[Hao], Fei, L.[Lunke], Zhao, S.P.[Shu-Ping], Wen, J.[Jie], Teng, S.H.[Shao-Hua], Xu, Y.[Yong],
Mask-guided multiscale feature aggregation network for hand gesture recognition,
PR(145), 2024, pp. 109901.
Elsevier DOI 2311
Hand gesture recognition, Attention mechanism, Multiscale, Feature aggregation, Mask branch BibRef

Lin, Y.H.[Yi-Hong], Song, W.W.[Wen-Wei], Kang, W.X.[Wen-Xiong],
Random hand gesture authentication via efficient Temporal Segment Set Network,
JVCIR(97), 2023, pp. 103985.
Elsevier DOI Code:
WWW Link. 2312
Biometrics, Random hand gesture, Hand gesture authentication, Two-stream neural network, Attention mechanism BibRef

Xie, H.L.[Hui-Long], Song, W.W.[Wen-Wei], Kang, W.X.[Wen-Xiong],
Learning an Augmented RGB Representation for Dynamic Hand Gesture Authentication,
CirSysVideo(34), No. 10, October 2024, pp. 9195-9208.
IEEE DOI Code:
WWW Link. 2411
Authentication, Optical flow, Physiology, Knowledge engineering, Feature extraction, Training, Task analysis, cross-modal knowledge distillation BibRef

Song, W.W.[Wen-Wei], Kang, W.X.[Wen-Xiong], Lin, L.[Liang],
Hand Gesture Authentication by Discovering Fine-Grained Spatiotemporal Identity Characteristics,
CirSysVideo(34), No. 1, January 2024, pp. 461-474.
IEEE DOI Code:
WWW Link. 2401
BibRef

Cheng, J.[Jiale], Shi, D.Z.[Dong-Zi], Li, C.Y.[Chen-Yang], Li, Y.[Yu], Ni, H.[Hao], Jin, L.W.[Lian-Wen], Zhang, X.[Xin],
Skeleton-Based Gesture Recognition With Learnable Paths and Signature Features,
MultMed(26), 2024, pp. 3951-3961.
IEEE DOI 2402
Feature extraction, Skeleton, Gesture recognition, Joints, Deep learning, Trajectory, Neural networks, Gesture recognition, path signature features BibRef

Zhao, D.D.[Dong-Dong], Li, H.L.[Hong-Li], Yan, S.[Shi],
Spatial-Temporal Synchronous Transformer for Skeleton-Based Hand Gesture Recognition,
CirSysVideo(34), No. 3, March 2024, pp. 1403-1412.
IEEE DOI 2403
Transformers, Feature extraction, Correlation, Skeleton, Hidden Markov models, Task analysis, chunk embedding BibRef

Li, Y.[Yangke], Wei, G.S.[Guang-Shun], Desrosiers, C.[Christian], Zhou, Y.F.[Yuan-Feng],
Decoupled and boosted learning for skeleton-based dynamic hand gesture recognition,
PR(153), 2024, pp. 110536.
Elsevier DOI 2405
Hand gesture recognition, Decoupled skeleton representation, Boosted learning, Multi-scale features, Attention mechanism BibRef

Yu, H.[Hao], Nelson, A.[Alyson], Erden, M.S.[Mustafa Suphi],
A Review of Robot-Assisted Hand Spasticity Assessment,
HMS(54), No. 4, August 2024, pp. 349-361.
IEEE DOI 2408
Robots, Instruments, Reviews, Muscles, Extremities, Force, Robot sensing systems, Hand, rehabilitation robotics, upper extremity BibRef

Song, W.W.[Wen-Wei], Kang, W.X.[Wen-Xiong], Kong, A.W.K.[Adams Wai-Kin], Zhang, Y.F.[Yu-Feng], Qiao, Y.T.[Yi-Tao],
L3AM: Linear Adaptive Additive Angular Margin Loss for Video-Based Hand Gesture Authentication,
IJCV(132), No. 1, January 2024, pp. 4073-4090.
Springer DOI 2409
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Garg, M.[Mallika], Ghosh, D.[Debashis], Pradhan, P.M.[Pyari Mohan],
GestFormer: Multiscale Wavelet Pooling Transformer Network for Dynamic Hand Gesture Recognition,
WiCV24(2473-2483)
IEEE DOI Code:
WWW Link. 2410
Computational modeling, Source coding, Gesture recognition, Logic gates, Transformers, Feature extraction, PoolFormer BibRef

Li, F.H.[Fang-Hai], Na, X.[Xitai], Shi, J.S.[Jin-Shuo], Sun, Q.B.[Qing-Bin],
FM-YOLOv8:Lightweight gesture recognition algorithm,
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DOI Link 2411
gesture recognition, object detection, lightweight model, YOLOv8 BibRef

Ikne, O.[Omar], Allaert, B.[Benjamin], Wannous, H.[Hazem],
Skeleton-Based Self-Supervised Feature Extraction for Improved Dynamic Hand Gesture Recognition,
FG24(1-10)
IEEE DOI 2408
Human computer interaction, Face recognition, Gesture recognition, Self-supervised learning, Benchmark testing, Data models BibRef

Ikne, O.[Omar], Slama, R.[Rim], Saoudi, H.[Hichem], Wannous, H.[Hazem],
Spatio-Temporal Sparse Graph Convolution Network for Hand Gesture Recognition,
FG24(1-5)
IEEE DOI 2408
Attention mechanisms, Convolution, Graph convolutional networks, Face recognition, Computational modeling, Collaboration, Gesture recognition BibRef

Safa, A.[Ali], Mommen, W.[Wout], Wambacq, P.[Piet], Keuninckx, L.[Lars],
Resource-Efficient Gesture Recognition Using Low-Resolution Thermal Camera via Spiking Neural Networks and Sparse Segmentation,
FG24(1-5)
IEEE DOI 2408
Deep learning, Accuracy, Memory management, Gesture recognition, Spiking neural networks, Radar, Thermal sensors BibRef

Verma, A.[Aman], Jaswal, G.[Gaurav], Srirangarajan, S.[Seshan], Roy, S.D.[Sumantra Dutta],
Quantifying Biometric Characteristics of Hand Gestures Through Feature Space Probing and Identity-Level Cross-Gesture Disentanglement,
FG24(1-9)
IEEE DOI 2408
Biometrics (access control), Face recognition, Gesture recognition, Feature extraction, Standards BibRef

Duran, E.[Enes], Kocabas, M.[Muhammed], Choutas, V.[Vasileios], Fan, Z.C.[Zi-Cong], Black, M.J.[Michael J.],
HMP: Hand Motion Priors for Pose and Shape Estimation from Video,
WACV24(6341-6351)
IEEE DOI Code:
WWW Link. 2404
Training, Solid modeling, Shape, Motion estimation, Pose estimation, Motion capture, Algorithms, Biometrics, face, gesture, body pose, 3D computer vision BibRef

Huo, Y.P.[Yu-Peng], Shen, J.[Jie], Zhang, S.[Sheng], Wang, L.[Li],
Dynamic gesture recognition method based on Improved R(2+1)D,
CVIDL23(323-328)
IEEE DOI 2403
Deep learning, Image recognition, Convolution, Gesture recognition, Feature extraction, Self-Attention BibRef

Aich, S.[Shubhra], Ruiz-Santaquiteria, J.[Jesus], Lu, Z.Y.[Zhen-Yu], Garg, P.[Prachi], Joseph, K.J.[K J], Garcia, A.F.[Alvaro Fernandez], Balasubramanian, V.N.[Vineeth N.], Kin, K.[Kenrick], Wan, C.[Chengde], Camgoz, N.C.[Necati Cihan], Ma, S.[Shugao], de la Torre, F.[Fernando],
Data-Free Class-Incremental Hand Gesture Recognition,
ICCV23(20901-20910)
IEEE DOI Code:
WWW Link. 2401
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Hand Gesture Recognition Exploiting Handcrafted Features and LSTM,
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OO-dMVMT: A Deep Multi-view Multi-task Classification Framework for Real-time 3D Hand Gesture Classification and Segmentation,
CV4MR23(2745-2754)
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Qi, X.Q.[Xing-Qun], Liu, C.[Chen], Sun, M.[Muyi], Li, L.C.[Lin-Cheng], Fan, C.J.[Chang-Jie], Yu, X.[Xin],
Diverse 3D Hand Gesture Prediction from Body Dynamics by Bilateral Hand Disentanglement,
CVPR23(4616-4626)
IEEE DOI 2309
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Moon, G.[Gyeongsik],
Bringing Inputs to Shared Domains for 3D Interacting Hands Recovery in the Wild,
CVPR23(17028-17037)
IEEE DOI 2309
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Ben Naceur, M.[Mostefa], Brun, L.[Luc], Lézoray, O.[Olivier],
Lightweight Deep Symmetric Positive Definite Manifold Network for Real-Time 3D Hand Gesture Recognition,
FG21(1-8)
IEEE DOI 2303
Manifolds, Symmetric matrices, Pipelines, Gesture recognition, Real-time systems, Skeleton BibRef

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Real-Time Hand Gesture Identification in Thermal Images,
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Model-Aware Gesture-to-Gesture Translation,
CVPR21(16423-16432)
IEEE DOI 2111
Measurement, Production, Gesture recognition, Benchmark testing, Streaming media, Assistive technologies BibRef

Wu, J.T.[Jin-Ting], Zhang, Y.J.[Yu-Jia], Zhao, X.G.[Xiao-Guang],
A Prototype-Based Generalized Zero-Shot Learning Framework for Hand Gesture Recognition,
ICPR21(3435-3442)
IEEE DOI 2105
Human computer interaction, Target recognition, Semantics, Prototypes, Human-robot interaction, Gesture recognition, Detectors BibRef

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Hand Gesture Recognition Based on the Fusion of Visual and Touch Sensing Data,
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CVIDL20(577-580)
IEEE DOI 2102
gesture recognition, template imaging, hand contour information, gesture recognition algorithm, BibRef

Zhou, J., Komuro, T.,
Recognizing Gestures from Videos using a Network with Two-branch Structure and Additional Motion Cues,
FG20(133-137)
IEEE DOI 2102
Feature extraction, Optical imaging, Videos, Data mining, Training, Optical fiber networks, Shape, Gesture Recognition, 3D Convolution BibRef

Quader, N.[Niamul], Lu, J.W.[Ju-Wei], Dai, P.[Peng], Li, W.[Wei],
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Low-latency hand gesture recognition with a low resolution thermal imager,
PBVS20(440-449)
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Thermal sensors, Cameras, Gesture recognition, Automobiles BibRef

Köpüklü, O., Rong, Y., Rigoll, G.,
Talking With Your Hands: Scaling Hand Gestures and Recognition With CNNs,
Hands19(2836-2845)
IEEE DOI 2004
convolutional neural nets, gesture recognition, human computer interaction, learning (artificial intelligence), real time recognition BibRef

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Progression Modelling for Online and Early Gesture Detection,
3DV19(289-297)
IEEE DOI 1911
Feature extraction, Predictive models, Spatiotemporal phenomena, Gesture recognition, Streaming media, Support vector machines, Online Gesture Recognition BibRef

Wu, D., Sharma, N., Blumenstein, M.,
An End-to-End Hierarchical Classification Approach for Similar Gesture Recognition,
IVCNZ18(1-6)
IEEE DOI 1902
Computer architecture, Feature extraction, Kernel, Hair, Deep learning BibRef

Köpüklü, O., Köse, N., Rigoll, G.,
Motion Fused Frames: Data Level Fusion Strategy for Hand Gesture Recognition,
AMFG18(2184-21848)
IEEE DOI 1812
Optical imaging, Feature extraction, Gesture recognition, Motion segmentation, Optical sensors, Computer architecture, Image color analysis BibRef

Narayana, P., Beveridge, J.R., Draper, B.A.,
Gesture Recognition: Focus on the Hands,
CVPR18(5235-5244)
IEEE DOI 1812
Gesture recognition, Training, Network architecture, Feature extraction, Optical imaging, Human computer interaction. BibRef

Madapana, N., Wachs, J.,
Feature Selection for Zero-Shot Gesture Recognition,
FG20(683-687)
IEEE DOI 2102
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Hard Zero Shot Learning for Gesture Recognition,
ICPR18(3574-3579)
IEEE DOI 1812
Feature extraction, Semantics, Gesture recognition, Training, Task analysis, Object recognition, Deep learning, spontaneous gestures. Training, Machine learning, Standards, Decoding, Visualization BibRef

Yang, K., Li, R., Qiao, P., Wang, Q., Li, D., Dou, Y.,
Temporal Pyramid Relation Network for Video-Based Gesture Recognition,
ICIP18(3104-3108)
IEEE DOI 1809
Feature extraction, Gesture recognition, Solid modeling, Hidden Markov models, temporal pyramid pooling BibRef

Mesbahi, S.C., Mahraz, M.A., Riffi, J., Tairi, H.,
Hand gesture recognition based on convexity approach and background subtraction,
ISCV18(1-5)
IEEE DOI 1807
feature extraction, gesture recognition, image segmentation, image sensors, background subtraction, convex defect detection, hand gesture BibRef

Benmoussa, M., Mahmoudi, A.,
Machine learning for hand gesture recognition using bag-of-words,
ISCV18(1-7)
IEEE DOI 1807
feature extraction, gesture recognition, human computer interaction, learning (artificial intelligence), SURF BibRef

Lin, C., Wan, J., Liang, Y., Li, S.Z.,
Large-Scale Isolated Gesture Recognition Using a Refined Fused Model Based on Masked Res-C3D Network and Skeleton LSTM,
FG18(52-58)
IEEE DOI 1806
Adaptation models, Feature extraction, Gesture recognition, Hidden Markov models, Skeleton, Training, Videos, Res-C3D Network BibRef

Mullick, K., Namboodiri, A.M.,
Learning deep and compact models for gesture recognition,
ICIP17(3998-4002)
IEEE DOI 1803
Convolution, Feature extraction, Gesture recognition, Gray-scale, Hidden Markov models, Training, Videos BibRef

Chen, S.H., Hernawan, A., Lee, Y.S., Wang, J.C.,
Hand gesture recognition based on Bayesian sensing hidden Markov models and Bhattacharyya divergence,
ICIP17(3535-3539)
IEEE DOI 1803
Bayes methods, Databases, Feature extraction, Gesture recognition, Hidden Markov models, Sensors, Standards, Hand gesture recognition BibRef

Li, C., Zhang, X., Jin, L.,
LPSNet: A Novel Log Path Signature Feature Based Hand Gesture Recognition Framework,
Hands17(631-639)
IEEE DOI 1802
Feature extraction, Gesture recognition, Neural networks, Training, Trajectory, Videos BibRef

Carcangiu, A.[Alessandro], Spano, L.D.[Lucio Davide], Fumera, G.[Giorgio], Roli, F.[Fabio],
Gesture Modelling and Recognition by Integrating Declarative Models and Pattern Recognition Algorithms,
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Doan, H.G., Vu, H., Tran, T.H.,
Dynamic hand gesture recognition from cyclical hand pattern,
MVA17(97-100)
DOI Link 1708
Feature extraction, Gesture recognition, Interpolation, Manifolds, Shape, Trajectory BibRef

Cabrera, M.E., Novak, K., Foti, D., Voyles, R., Wachs, J.P.[Juan P.],
What Makes a Gesture a Gesture? Neural Signatures Involved in Gesture Recognition,
FG17(748-753)
IEEE DOI 1707
Electrodes, Electroencephalography, Gesture recognition, Production, Trajectory, Videos, Visualization BibRef

Cabrera, M.E., Wachs, J.P.,
Biomechanical-Based Approach to Data Augmentation for One-Shot Gesture Recognition,
FG18(38-44)
IEEE DOI 1806
Biological system modeling, Biomechanics, Brain modeling, Gesture recognition, Kinematics, Production, Trajectory, One Shot Learning BibRef

Madapana, N., Wachs, J.P.,
A Semantical Analytical Approach for Zero Shot Gesture Learning,
FG17(796-801)
IEEE DOI 1707
Classification algorithms, Context, Gesture recognition, Semantics, Training, Training data, Visualization BibRef

Ai, H.J.[Hao-Jun], Men, Y.F.[Yi-Fang], Han, L.L.[Liang-Liang], Li, Z.C.[Zu-Chao], Liu, M.Y.[Meng-Yun],
High precision gesture sensing via quantitative characterization of the Doppler effect,
ICPR16(973-978)
IEEE DOI 1705
Acoustics, Doppler effect, Feature extraction, Gesture recognition, Microphones, Portable computers, Sensors BibRef

Khorsandi, M.A., Karimi, N., Soroushmehr, S.M.R., Hajabdollahi, M., Samavi, S., Ward, K., Najarian, K.,
Radon transform inspired method for hand gesture recognition,
ICPR16(1053-1058)
IEEE DOI 1705
Gesture recognition, Image segmentation, Radon, Thumb, Transforms, Wrist, Radon transform, hand gesture, touchless, communication BibRef

Liu, Z., Chai, X., Liu, Z., Chen, X.,
Continuous Gesture Recognition with Hand-Oriented Spatiotemporal Feature,
EmotionComp17(3056-3064)
IEEE DOI 1802
Data gloves, Face, Feature extraction, Gesture recognition, Sensors, Spatiotemporal phenomena BibRef

Chai, X., Liu, Z., Yin, F., Liu, Z., Chen, X.,
Two streams Recurrent Neural Networks for Large-Scale Continuous Gesture Recognition,
ICPR16(31-36)
IEEE DOI 1705
Feature extraction, Gesture recognition, Hidden Markov models, Neurons, Proposals, Recurrent neural networks, Training, continuous gesture recognition, multi-modal features, recurrent neural networks, spotting-recognition BibRef

Camgoz, N.C., Hadfield, S., Bowden, R.,
Particle Filter Based Probabilistic Forced Alignment for Continuous Gesture Recognition,
EmotionComp17(3079-3085)
IEEE DOI 1802
Gesture recognition, Probabilistic logic, BibRef

Camgoz, N.C., Hadfield, S., Koller, O., Bowden, R.,
Using Convolutional 3D Neural Networks for User-independent continuous gesture recognition,
ICPR16(49-54)
IEEE DOI 1705
Feature extraction, Gesture recognition, Hidden Markov models, Image color analysis, Recurrent neural networks, Three-dimensional, displays BibRef

Hiyadi, H., Ababsa, F., Montagne, C., Bouyakhf, E.H., Regragui, F.,
Adaptive dynamic time warping for recognition of natural gestures,
IPTA16(1-6)
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feature extraction BibRef

John, V., Boyali, A., Mita, S., Imanishi, M., Sanma, N.,
Deep Learning-Based Fast Hand Gesture Recognition Using Representative Frames,
DICTA16(1-8)
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Feature extraction BibRef

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Performance Improvement of Deep Learning Based Gesture Recognition Using Spatiotemporal Demosaicing Technique,
ICIP16(1624-1628)
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Real Time Gesture Recognition with Heuristic-Based Classification,
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Yao, Y.[Yi], Li, C.T.[Chang-Tsun],
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ICIP15(3082-3086)
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Hand Gesture Recognition BibRef

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Siamese neural network based similarity metric for inertial gesture classification and rejection,
FG15(1-6)
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gesture recognition BibRef

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ICIP14(1450-1454)
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Cameras BibRef

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Gesture Recognition Portfolios for Personalization,
CVPR14(1923-1930)
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classification; gesture recognition; personalization BibRef

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ICIP13(141-145)
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del Puy Carretero, M.[María], Diez, H.V.[Helen V.], García, S.[Sara], Oyarzun, D.[David],
Providing Physical Appearance and Behaviour to Virtual Characters,
AMDO16(98-107).
Springer DOI 1608
BibRef

del Puy Carretero, M.[María], Ardanza, A.[Aitor], García, S.[Sara], Díez, H.[Helen], Oyarzun, D.[David], Ruiz, N.[Nuria],
Improving Gestural Communication in Virtual Characters,
AMDO12(69-81).
Springer DOI 1208
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Lui, Y.M.[Yui Man],
A least squares regression framework on manifolds and its application to gesture recognition,
Gesture12(13-18).
IEEE DOI 1207
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Bhuyan, M.K., Narra, C.[Chaitanya], Chandra, D.S.[Darsha Sharath],
Hand gesture animation by key frame extraction,
ICIIP11(1-6).
IEEE DOI 1112
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ICDAR11(957-961).
IEEE DOI 1111
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Mahmood, M.H.[Muhammad Habib], Khalid, M.A.[Muhammad Ali], Malhi, A.G.[Ali Gohar], Khan, A.A.[Adnan Ali],
A Novel Robust Laser Tracking System with Automatic Environment Adaptation and Keystone Correction,
ICIG11(743-748).
IEEE DOI 1109
Laser pointers in presentations, use it as a mouse. BibRef

Harding, P.[Peter], Topsom, M.[Michael], Costen, N.P.[Nicholas P.],
Mutual Information Based Gesture Recognition,
CAIP11(I: 571-578).
Springer DOI 1109
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Boyraz, H.[Hakan], Tappen, M.F.[Marshall F.], Sukthankar, R.[Rahul],
Localizing actions through sequential 2D video projections,
CVPR4HB11(34-39).
IEEE DOI 1106
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Kohlsdorf, D.[Daniel], Starner, T.E.[Thad E.], Ashbrook, D.[Daniel],
MAGIC 2.0: A web tool for false positive prediction and prevention for gesture recognition systems,
FG11(286-291).
IEEE DOI 1103
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Kawahata, R.[Ryo], Wang, Y.R.[Yan-Rung], Shimada, A.[Atsushi], Yamashita, T.[Takayoshi], Taniguchi, R.I.[Rin-Ichiro],
Incremental Learning of Hand Gestures Based on Submovement Sharing,
ICIAR14(II: 58-65).
Springer DOI 1410
BibRef

Kawashima, M.[Manabu], Shimada, A.[Atsushi], Nagahara, H.[Hajime], Taniguchi, R.I.[Rin-Ichiro],
Adaptive template method for early recognition of gestures,
FCV11(1-6).
IEEE DOI 1102
BibRef

Oshita, M.[Masaki], Matsunaga, T.[Takefumi],
Automatic Learning of Gesture Recognition Model Using SOM and SVM,
ISVC10(I: 751-759).
Springer DOI 1011
BibRef

Zhang, J.R.[John R.], Kender, J.R.[John R.],
Recognizing and tracking clasping and occluded hands,
ICIP13(2817-2821)
IEEE DOI 1402
BibRef
Earlier:
Identifying salient poses in lecture videos,
ICIP11(2353-2356).
IEEE DOI 1201
Tracking; gestures; hands; optical flow BibRef

Zhang, J.R.[John R.], Guo, K.Y.[Kuang-Ye], Herwana, C.[Cipta], Kender, J.R.[John R.],
Annotation and taxonomy of gestures in lecture videos,
CVPR4HB10(1-8).
IEEE DOI 1006
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Haker, M.[Martin], Böhme, M.[Martin], Martinetz, T.[Thomas], Barth, E.[Erhardt],
Deictic Gestures with a Time-of-Flight Camera,
GW09(110-121).
Springer DOI 0902
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Bevilacqua, F.[Frédéric], Zamborlin, B.[Bruno], Sypniewski, A.[Anthony], Schnell, N.[Norbert], Guédy, F.[Fabrice], Rasamimanana, N.[Nicolas],
Continuous Realtime Gesture Following and Recognition,
GW09(73-84).
Springer DOI 0902
BibRef

Rieser, H.[Hannes],
On Factoring Out a Gesture Typology from the Bielefeld Speech-and-Gesture-Alignment Corpus (SAGA),
GW09(47-60).
Springer DOI 0902
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Visser, W.[Willemien],
Function and Form of Gestures in a Collaborative Design Meeting,
GW09(61-72).
Springer DOI 0902
BibRef

Nishiyama, M.[Mio], Shibata, T.[Tadashi],
Normalized scoring of Hidden Markov Models by on-line learning and its application to gesture-sequence perception,
ICIP09(3565-3568).
IEEE DOI 0911
BibRef

Lu, W.P.[Wan-Ping], Li, W.[Wei], Wang, L.F.[Ling-Feng], Pan, C.H.[Chun-Hong],
Gestures Classification Based on Semantic Classification Tree,
CISP09(1-5).
IEEE DOI 0910
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Fourney, A.[Adam], Mann, R.[Richard],
Non-Accidental Features for Gesture Spotting,
CRV09(116-123).
IEEE DOI 0905
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Huang, E.W.[En Wei], Fu, L.C.[Li Chen],
Gesture stroke recognition using computer vision and linear accelerometer,
FG08(1-6).
IEEE DOI 0809
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Okada, S.[Shogo], Hasegawa, O.[Osamu],
Motion recognition based on Dynamic-Time Warping method with Self-Organizing Incremental Neural Network,
ICPR08(1-4).
IEEE DOI 0812
Gestures. BibRef

Harding, P.R.G., Ellis, T.J.,
The Fourier Analysis of 2DT movement with particular reference to hand gesture recognition,
ICPR08(1-4).
IEEE DOI 0812
BibRef
Earlier:
Recognizing hand gesture using fourier descriptors,
ICPR04(III: 286-289).
IEEE DOI 0409
BibRef

Shimada, A.[Alsushi], Taniguchi, R.I.[Rin-Ichiro],
Gesture recognition using sparse code of Hierarchical SOM,
ICPR08(1-4).
IEEE DOI 0812
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van Welbergen, H.[Herwin], Ruttkay, Z.[Zsófia],
On the Parametrization of Clapping,
GW07(36-47).
Springer DOI 0705
BibRef

Choi, H.[Heeyoul], Paulson, B.[Brandon], Hammond, T.[Tracy],
Gesture Recognition Based on Manifold Learning,
SSPR08(247-256).
Springer DOI 0812
BibRef

Al-Rajab, M.[Moaath], Hogg, D.C.[David C.], Ng, K.[Kia],
A Comparative Study on Using Zernike Velocity Moments and Hidden Markov Models for Hand Gesture Recognition,
AMDO08(xx-yy).
Springer DOI 0807
BibRef

Han, L.[Lei], Liang, W.[Wei],
Continuous Hand Gesture Recognition in the Learned Hierarchical Latent Variable Space,
AMDO08(xx-yy).
Springer DOI 0807
BibRef

Oikonomopoulos, A., Pantic, M.,
Human body gesture recognition using adapted auxiliary particle filtering,
AVSBS07(441-446).
IEEE DOI 0709
BibRef

Kim, T.K.[Tae-Kyun], Cipolla, R.[Roberto],
Gesture Recognition Under Small Sample Size,
ACCV07(I: 335-344).
Springer DOI 0711
BibRef

Rajko, S.[Stjepan], Qian, G.[Gang], Ingalls, T.[Todd], James, J.[Jodi],
Real-time Gesture Recognition with Minimal Training Requirements and On-line Learning,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Rajko, S.[Stjepan], Qian, G.[Gang],
HMM parameter reduction for practical gesture recognition,
FG08(1-6).
IEEE DOI 0809
BibRef
Earlier:
A Hybrid HMM/DPA Adaptive Gesture Recognition Method,
ISVC05(227-234).
Springer DOI 0512
BibRef

Hoey, J.,
Tracking using Flocks of Features, with Application to Assisted Handwashing,
BMVC06(I:367).
PDF File. 0609
BibRef

Ning, H.Z.[Hua-Zhong], Han, T.X., Hu, Y.X.[Yu-Xiao], Zhang, Z.Q.[Zhen-Qiu], Fu, Y.[Yun], Huang, T.S.,
A Realtime Shrug Detector,
FGR06(505-510).
IEEE DOI 0604
BibRef

Mori, A.[Akihiro], Uchida, S.[Seiichi], Kurazume, R.[Ryo], Taniguchi, R.I.[Rin-Ichiro], Hasegawa, T.[Tsutomu], Sakoe, H.[Hiroaki],
Early Recognition and Prediction of Gestures,
ICPR06(III: 560-563).
IEEE DOI 0609
BibRef

Aviles-Arriaga, H.H.[Hector Hugo], Sucar, L.E.[L. Enrique], Mendoza, C.E.[Carlos E.],
Visual Recognition of Similar Gestures,
ICPR06(I: 1100-1103).
IEEE DOI 0609
BibRef

Bouteruche, F.[Francois], Anquetil, E.[Eric],
Fuzzy Point of View Combination for Contextual Shape Recognition: Application to On-line Graphic Gesture Recognition,
ICPR06(I: 1088-1091).
IEEE DOI 0609
BibRef

Sclaroff, S., Betke, M., Kollios, G., Alon, J., Athitsos, V., Li, R.[Rui], Magee, J., Tian, T.P.[Tai-Peng],
Tracking, analysis, and recognition of human gestures in video,
ICDAR05(II: 806-810).
IEEE DOI 0508
BibRef

Park, A.Y.[A-Youn], Lee, S.W.[Seong-Whan],
Gesture Spotting in Continuous Whole Body Action Sequences Using Discrete Hidden Markov Models,
GW05(100-111).
Springer DOI 0505
BibRef

Roh, M.C.[Myung-Cheol], Shin, H.K.[Ho-Keun], Lee, S.W.[Sang-Woong], Lee, S.W.[Seong-Whan],
Volume Motion Template for View-Invariant Gesture Recognition,
ICPR06(II: 1229-1232).
IEEE DOI 0609
BibRef

Roh, M.C.[Myung-Cheol], Lee, S.W.[Seong-Whan],
Gesture Detection in Low-Quality Video,
ICPR06(IV: 791-794).
IEEE DOI 0609
BibRef

Dong, Q.L.[Qiu-Lei], Wu, Y.H.[Yi-Hong], Hu, Z.Y.[Zhan-Yi],
Gesture Segmentation from a Video Sequence Using Greedy Similarity Measure,
ICPR06(I: 331-334).
IEEE DOI 0609
BibRef
And:
Gesture Recognition Using Quadratic Curves,
ACCV06(I:817-825).
Springer DOI 0601
BibRef

Pylvänäinen, T.[Timo],
Accelerometer Based Gesture Recognition Using Continuous HMMs,
IbPRIA05(I:639).
Springer DOI 0509
BibRef

Bellens, R.[Rik], Gautama, S.[Sidharta], d'Haeyer, J.[Johan],
Modelling Spatial Correlation and Image Statistics for Improved Tracking of Human Gestures,
IbPRIA05(I:545).
Springer DOI 0509
BibRef

Wilson, D.H., Wilson, A.,
Gesture Recognition Using the XWand,
CMU-RI-TR-04-57, April, 2004.
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Perrin, S., Cassinelli, A., Ishikawa, M.,
Gesture recognition using laser-based tracking system,
AFGR04(541-546).
IEEE DOI 0411
BibRef

Cheneviere, F., Boukir, S.,
Deformable model based data compression for gesture recognition,
ICPR04(IV: 541-544).
IEEE DOI 0409
BibRef

Shan, C.F.[Cai-Feng], Wei, Y.C.[Yu-Cheng], Qiu, X.C.[Xian-Chao], Tan, T.N.[Tie-Niu],
Gesture recognition using temporal template based trajectories,
ICPR04(III: 954-957).
IEEE DOI 0409
BibRef

Kahol, K.[Kanav], Vankipuram, M.[Mithra],
Hand motion expertise analysis using dynamic hierarchical activity modeling and isomap,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Kahol, K., Tripathi, P., Panchanathan, S.,
Automated gesture segmentation from dance sequences,
AFGR04(883-888).
IEEE DOI 0411
BibRef
And:
Computational analysis of mannerism gestures,
ICPR04(III: 946-949).
IEEE DOI 0409
BibRef

Kahol, K., Tripathi, P., Panchanathan, S., Rikakis, T.,
Gesture segmentation in complex motion sequences,
ICIP03(II: 105-108).
IEEE DOI 0312
BibRef

Fritsch, J., Hofemann, N., Sagerer, G.,
Combining sensory and symbolic data for manipulative gesture recognition,
ICPR04(III: 930-933).
IEEE DOI 0409
BibRef

Rossini, N.[Nicla],
Gestural Abstraction and Restatement: From Iconicity to Metaphor,
COST08(214-226).
Springer DOI 0810
BibRef

Rossini, N.[Nicla],
The Analysis of Gesture: Establishing a Set of Parameters,
GW03(124-131).
Springer DOI 0405
BibRef

Noot, H.[Han], Ruttkay, Z.[Zsófia],
Gesture in Style,
GW03(324-337).
Springer DOI 0405
BibRef

Agrawal, T., Chaudhuri, S.,
Gesture recognition using position and appearance features,
ICIP03(II: 109-112).
IEEE DOI 0312
BibRef

Chang, C.C.[Chin-Chen], Liu, C.Y.[Cheng-Yi],
Modified curvature scale space feature alignment approach for hand posture recognition,
ICIP03(III: 309-312).
IEEE DOI 0312
BibRef

Elgammal, A.M., Shet, V., Yacoob, Y., Davis, L.S.,
Learning dynamics for exemplar-based gesture recognition,
CVPR03(I: 571-578).
IEEE DOI 0307
BibRef

Yu, C.[Chen], Ballard, D.H.[Dana H.],
Understanding Human Behaviors Based on Eye-Head-Hand Coordination,
BMCV02(611 ff.).
Springer DOI 0303
BibRef

Tominaga, M., Hongo, H., Koshimizu, H., Niwa, Y., Yamamoto, K.,
Estimation of human motion from multiple cameras for gesture recognition,
ICPR02(I: 401-404).
IEEE DOI 0211
BibRef

Vimplis, M., Kyriakopoulos, K.J.,
Gesture recognition in realistic images: the statistical approach,
ICIP02(I: 781-784).
IEEE DOI 0210
BibRef

Viblis, M.K., Kyriakopoulos, K.J.,
A Gesture Recognition Technique for Realistic Images,
ICIP01(III: 226-229).
IEEE DOI 0108
BibRef

Cuzzolin, F.[Fabio],
Learning Pullback metrics for linear models,
MLMotion08(xx-yy). 0810
BibRef

Cuzzolin, F.[Fabio],
Using Bilinear Models for View-invariant Action and Identity Recognition,
CVPR06(II: 1701-1708).
IEEE DOI 0606
BibRef

Sorrentino, A.[Andrea], Cuzzolin, F.[Fabio], Frezza, R.[Ruggero],
Using Hidden Markov Models and Dynamic Size Functions for Gesture Recognition,
BMVC97(xx-yy).
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Deng, J.W., Tsui, H.T.,
An HMM-based Approach for Gesture Segmentation and Recognition,
ICPR00(Vol III: 679-682).
IEEE DOI
IEEE DOI 0009
BibRef

Hong, P.Y.[Peng-Yu], Turk, M.A.[Matthew A.], Huang, T.S.[Thomas S.],
Gesture Modeling and Recognition Using Finite State Machines,
AFGR00(410-415).
IEEE DOI 0003
BibRef
And:
Constructing Finite State Machines for Fast Gesture Recognition,
ICPR00(Vol III: 691-694).
IEEE DOI 0009
BibRef

Wu, H., Kido, R., Shioyama, T.,
Improvement of Continuous Dynamic Programming for Human Gesture Recognition,
ICPR00(Vol II: 945-948).
IEEE DOI 0009
BibRef

Hongo, H., Ohya, M., Yasumoto, M., Niwa, Y., Yamamoto, K.,
Focus of attention for face and hand gesture recognition using multiple cameras,
AFGR00(156-161).
IEEE DOI 0003
BibRef

Yabe, H., Nishimura, T., Oka, R., Mukai, T.,
Recognition of Gestures Using Morphological Features of Networks Made of Gesture Motion Images and Word Sequences,
RATFG99(xx-yy). BibRef 9900

Nishimura, T., Oka, R.,
Spotting recognition of human gestures from time-varying images,
AFGR96(318-322).
IEEE DOI 9610
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Iwai, Y., Shimizu, H., Yachida, M.,
Real-Time Context-Based Gesture Recognition Using HMM and Automaton,
RATFG99(xx-yy). BibRef 9900

Iwai, Y., Watanabe, K., Yagi, Y., Yachida, M.,
Gesture Recognition Using Colored Gloves,
ICPR96(I: 662-666).
IEEE DOI 9608
(Osaka Univ., J) BibRef

Watanabe, T.[Takahiro], Yachida, M.[Masahiko],
Real Time Recognition of Gesture and Gesture Degree Information Using Multi Input Image Sequences,
ICPR98(Vol II: 1855-1858).
IEEE DOI 9808
BibRef
And:
Real Time Gesture Recognition Using Eigenspace from Multi Input Image Sequence,
AFGR98(428-433).
IEEE DOI BibRef

Watanabe, T., Lee, C., Tsukamoto, A., Yachida, M.,
A Method of Real-Time Gesture Recognition for Interactive Systems,
ICPR96(III: 473-477).
IEEE DOI 9608
(Kansai Laboratory, J) BibRef

Moore, D.J., Essa, I.A., Hayes, III, M.H.,
Real-Time Active Vision and Computer Interfaces Exploiting Human Actions and Object Context for Recognition Tasks,
ICCV99(80-86).
IEEE DOI BibRef 9900
And:
Object Spaces: Context Management for Human Activity Recognition,
AVBPA99(xx-yy). BibRef

Ohno, H., Yamamoto, M.,
Gesture Recognition using Character Recognition Techniques on Two-Dimensional Eigenspace,
ICCV99(151-156).
IEEE DOI BibRef 9900

Hamdan, R.[Raouf], Heitz, F.[Fabrice], Thoraval, L.[Laurent],
Gesture Localization and Recognition Using Probabilistic Visual Learning,
CVPR99(II: 98-103).
IEEE DOI BibRef 9900

Cutler, R., Turk, M.A.,
View-Based Interpretation of Real-Time Optical Flow for Gesture Recognition,
AFGR98(416-421).
IEEE DOI BibRef 9800

Kurita, T., Hayamizu, S.,
Gesture Recognition Using HLAC Features of PARCOR Images and HMM Based Recognizer,
AFGR98(422-427).
IEEE DOI BibRef 9800

Nishikawa, A., Ohnishi, A., Miyazaki, F.,
Description and Recognition of Human Gestures Based on the Transition of Curvature from Motion Images,
AFGR98(552-557).
IEEE DOI BibRef 9800

Hummels, C.[Caroline], Overbeeke, K.J.[Kees J.],
The Expressive Power of Gestures: Capturing Scent in a Spatial Shape,
GW99(23).
Springer DOI 9903
BibRef

Hummels, C., Stappers, P.J.,
Meaningful Gestures for Human Computer Interaction: Beyond Hand Postures,
AFGR98(591-596).
IEEE DOI BibRef 9800

Hiratsuka, S., Ohba, K., Kajikawa, S., Inooka, H., Tanie, K.,
Stable Gesture Verification in Eigen Space,
MVA98(xx-yy). BibRef 9800

Raytchev, B., Hasgawa, O., Otsu, N.,
Online Gesture Recognition Using Predicative Statistical Feature Extraction and Multivariate Analysis,
MVA98(xx-yy). BibRef 9800

McKenna, S.J., Gong, S.G.,
Gesture Recognition for Visually Mediated Interaction Using Probabilistic Event Trajectories,
BMVC98(xx-yy). BibRef 9800

Black, M.J.[Michael J.], Jepson, A.D.[Allan D.],
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US_Patent6,526,156, Feb 25, 2003
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Black, M.J., Jepson, A.D.,
Recognizing Temporal Trajectories Using the CONDENSATION Algorithm,
AFGR98(16-21).
IEEE DOI BibRef 9800
And:
A Probabilistic Framework for Matching Temporal Trajectories: CONDENSATION-Based Recognition of Gestures and Expressions,
ECCV98(I: 909).
Springer DOI BibRef

Kurita, T., Kobayashi, Y., and Mishima, T.,
Higher Order Local Autocorrelation Features of PARCOR Images for Gesture Recognition,
ICIP97(III: 722-725).
IEEE DOI BibRef 9700

Brand, M., Oliver, N.M., Pentland, A.P.,
Coupled Hidden Markov Models for Complex Action Recognition,
CVPR97(994-999).
IEEE DOI 9704
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And: Vismod--407, 1996.
PS File. BibRef

Huber, E.,
3-D Real-Time Gesture Recognition Using Proximity Spaces,
WACV96(136-141).
IEEE DOI 9609
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Nagaya, S., Seki, S., Oka, R.,
A theoretical consideration of pattern space trajectory for gesture spotting recognition,
AFGR96(72-77).
IEEE DOI 9610
BibRef
And:
A Proposal of Pattern Space Trajectory for Gesture Spotting Recognition,
BMVC96(Poster Session 2). 9608
Tsukuba Research Center, Japan BibRef

Kjeldsen, R., Kender, J.R.,
Toward the use of gesture in traditional user interfaces,
AFGR96(151-156).
IEEE DOI 9610
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And:
Context-Based Visual Hand Gesture Recognition,
ARPA96(771-775). BibRef

Darrell, T.J., Pentland, A.P.,
Active Gesture Recognition Using Partially Observable Markov Decision Processes,
ICPR96(III: 984-988).
IEEE DOI 9608
BibRef
Earlier:
Space-Time Gestures,
CVPR93(335-340).
IEEE DOI BibRef
And: Vismod-197, 1992.
HTML Version. and
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Hwang, W., Howden, S., Weng, J.,
Performing Temporal Action with a Hand-Eye System Using the SHOSLIF Approach,
ICPR96(IV: 35-39).
IEEE DOI 9608
(Michigan State Univ., USA) BibRef

Schlenzig, J., Hunter, E., and Jain, R.,
Recursive Identification of Gesture Inputs Using Hidden Markov Models,
WACV94(187-194).
IEEE Abstract. BibRef 9400

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Gesture, Overviews, Surveys, Evaluations .