21.4.2 Gesture Recognition Techniques

Chapter Contents (Back)
Real Time Vision. Application, Gesture. Hand Gestures. Gesture.

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

Trivedi, M.M.[Mohan M.], Mikic, I.[Ivana], Bhonsle, S.,
Active Camera Networks and Semantic Event Databases for Intelligent Environments,
ConferenceIEEE CVPR Workshop on Human Modeling, Analysis and Synthesis, Hilton Head, S.C. June 2000. Multicamera systems, intelligent environments.
PDF File.
PDF File. BibRef 0006

Trivedi, M.M.[Mohan M.], Huang, K.S.[Kohsia S.], Mikic, I.[Ivana],
Intelligent Environments and Active Camera Networks,
SMC-C00(xx-yy). Omnidirectional Vision, Panoramic Vision, Realtime Tracking, Intelligent Environments, Multicamera Systems,
PDF File.
PDF File. BibRef 0001

Huang, K.S.[Kohsia S.], Trivedi, M.M.,
3D Shape Context Based Gesture Analysis Integrated with Tracking using Omni Video Array,
VHCI05(III: 80-80).
IEEE DOI 0507
BibRef

Cheng, S.Y.[Shinko Y.], Trivedi, M.M.[Mohan M.],
Multimodal Voxelization and Kinematically Constrained Gaussian Mixture Models for Full Hand Pose Estimation: An Integrated Systems Approach,
CVS06(34).
IEEE DOI 0602
BibRef

Shin, M.C.[Min C.], Tsap, L.V.[Leonid V.], Goldgof, D.B.[Dmitry B.],
Gesture recognition using Bezier curves for visualization navigation from registered 3-D data,
PR(37), No. 5, May 2004, pp. 1011-1024.
Elsevier DOI 0405
BibRef

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

Sato, Y.[Yosuke], Ogawa, T.[Tetsuji], Kobayashi, T.[Tetsunori],
Extension of Hidden Markov Models for Multiple Candidates and Its Application to Gesture Recognition,
IEICE(E88-D), No. 6, June 2005, pp. 1239-1247.
DOI Link 0506
BibRef

Sato, Y.[Yosuke], Kobayashi, T.[Tetsunori],
Extension of hidden markov models to deal with multiple candidates of observations and its application to mobile-robot-oriented gesture recognition,
ICPR02(II: 515-519).
IEEE DOI 0211
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.
WWW Link. 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

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


WWW Link. 1106
Gestures and other signals. BibRef

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, Two dimensional displays, 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

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

Cheng, H.[Hong], Dai, Z.J.[Zhong-Jun], Liu, Z.C.[Zi-Cheng], Zhao, Y.[Yang],
An image-to-class dynamic time warping approach for both 3D static and trajectory hand gesture recognition,
PR(55), No. 1, 2016, pp. 137-147.
Elsevier DOI 1604
Image-to-class distance 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

Chang, J.Y.[Ju Yong],
Nonparametric Feature Matching Based Conditional Random Fields for Gesture Recognition from Multi-Modal Video,
PAMI(38), No. 8, August 2016, pp. 1612-1625.
IEEE DOI 1608
BibRef
Earlier:
Nonparametric Gesture Labeling from Multi-modal Data,
ChaLearn14(503-517).
Springer DOI 1504
dynamic programming BibRef

Wu, D.[Di], Pigou, L., Kindermans, P.J., Le, N.D.H., Shao, L.[Ling], Dambre, J., Odobez, J.M.,
Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition,
PAMI(38), No. 8, August 2016, pp. 1583-1597.
IEEE DOI 1608
feature extraction BibRef

Wu, D.[Di], Shao, L.[Ling],
Deep Dynamic Neural Networks for Gesture Segmentation and Recognition,
ChaLearn14(552-571).
Springer DOI 1504
See also Silhouette Analysis-Based Action Recognition Via Exploiting Human Poses. BibRef

Liu, L.[Li], Shao, L.[Ling],
Synthesis of spatio-temporal descriptors for dynamic hand gesture recognition using genetic programming,
FG13(1-7)
IEEE DOI 1309
genetic algorithms BibRef

Wu, D.[Di], Zhu, F.[Fan], Shao, L.[Ling],
One shot learning gesture recognition from RGBD images,
Gesture12(7-12).
IEEE DOI 1207
BibRef

Neverova, N.[Natalia], Wolf, C.[Christian], Taylor, G.W.[Graham W.], Nebout, F.[Florian],
ModDrop: Adaptive Multi-Modal Gesture Recognition,
PAMI(38), No. 8, August 2016, pp. 1692-1706.
IEEE DOI 1608
BibRef
Earlier:
Multi-scale Deep Learning for Gesture Detection and Localization,
ChaLearn14(474-490).
Springer DOI 1504
audio streaming BibRef

Li, F., Neverova, N.[Natalia], Wolf, C.[Christian], Taylor, G.W.[Graham W.],
Modout: Learning Multi-Modal Architectures by Stochastic Regularization,
FG17(422-429)
IEEE DOI 1707
Backpropagation, Correlation, Fuses, Gesture recognition, Machine learning, Stochastic processes, Training BibRef

Neverova, N.[Natalia], Wolf, C.[Christian], Paci, G., Sommavilla, G., Taylor, G.W.[Graham W.], Nebout, F.,
A Multi-scale Approach to Gesture Detection and Recognition,
HACI13(484-491)
IEEE DOI 1403
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

Joshi, A.[Ajjen], Monnier, C.[Camille], Betke, M.[Margrit], Sclaroff, S.[Stan],
Comparing random forest approaches to segmenting and classifying gestures,
IVC(58), No. 1, 2017, pp. 86-95.
Elsevier DOI 1703
BibRef
Earlier:
A random forest approach to segmenting and classifying gestures,
FG15(1-7)
IEEE DOI 1508
Gesture spotting. 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


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., Sanchez-Tamayo, N., Voyles, R., Wachs, J.P.,
One-Shot Gesture Recognition: One Step Towards Adaptive Learning,
FG17(784-789)
IEEE DOI 1707
Gesture recognition, Kinematics, Measurement, Production, Robots, Training, Trajectory 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

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., 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)
IEEE DOI 1703
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)
IEEE DOI 1701
Feature extraction BibRef

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

Park, P.K.J., Cho, B.H., Park, J.M., Lee, K., Kim, H.Y., Kang, H.A., Lee, H.G., Woo, J., Roh, Y., Lee, W.J., Shin, C.W., Wang, Q., Ryu, H.,
Performance improvement of deep learning based gesture recognition using spatiotemporal demosaicing technique,
ICIP16(1624-1628)
IEEE DOI 1610
Correlation BibRef

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CVPR14(1923-1930)
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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
BibRef
And: Vismod--407, 1996.
PS File. BibRef

Huber, E.,
3-D Real-Time Gesture Recognition Using Proximity Spaces,
WACV96(136-141).
IEEE DOI 9609
BibRef

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
BibRef
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
PS File. MIT BibRef

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 .


Last update:Sep 22, 2017 at 21:00:01