22.4.2.3 Hand Gesture Systems, Gesture Recognition

Chapter Contents (Back)
Application, Gesture. Hand Gestures. Gesture.
See also Hand Pose, Hand Posture, Hand Shape.
See also Actions, Grasping, Robot Grasping, Shape for Grasp.

McLaughlin, R.A., Alder, M.D., de Silva, C.J.S.,
Inference of Structure: Hands,
PRL(15), No. 10, October 1994, pp. 957-962. Recognize Hands. BibRef 9410

Zhao, J.M.[Jian-Min], Badler, N.I.[Norman I.],
Inverse Kinematics Positioning Using Nonlinear Programming for Highly Articulated Figures,
TOG(13), No 4, October 1994, pp. 313-336. Posture modeling, primarily for graphics issues. BibRef 9410

Yeasin, M.[Mohammed], Chaudhuri, S.[Subhasis],
Visual understanding of dynamic hand gestures,
PR(33), No. 11, November 2000, pp. 1805-1817.
Elsevier DOI 0011
spatio-temporal sequence.
See also Development of an Automated Image Processing System for Kinematic Analysis of Human Gait. BibRef

Ramamoorthy, A.[Aditya], Vaswani, N.[Namrata], Chaudhury, S.[Santanu], Banerjee, S.[Subhashis],
Recognition of dynamic hand gestures,
PR(36), No. 9, September 2003, pp. 2069-2081.
Elsevier DOI 0307
BibRef

Miners, B.W., Basir, O.A., Kamel, M.S.,
Understanding Hand Gestures Using Approximate Graph Matching,
SMC-A(35), No. 2, March 2005, pp. 239-248.
IEEE Abstract. 0501
BibRef

Wachs, J.P.[Juan P.], Stern, H.I.[Helman I.], Edan, Y.[Yael],
Cluster Labeling and Parameter Estimation for the Automated Setup of a Hand-Gesture Recognition System,
SMC-A(35), No. 6, November 2005, pp. 932-944.
IEEE DOI 0510
BibRef
Earlier:
Parameter search for an image processing fuzzy C-means hand gesture recognition system,
ICIP03(III: 341-344).
IEEE DOI 0312
BibRef

Wachs, J.P.[Juan Pablo], Kölsch, M.[Mathias], Stern, H.I.[Helman I.], Edan, Y.[Yael],
Vision-Based Hand-Gesture Applications,
CACM(54), No. 2, February 2011, pp. 60-71.
DOI Link 1102
Body posture and finger pointing are a natural modality for human-machine interaction, but first the system must know what it's seeing. BibRef

Stern, H.I.[Helman I.], Wachs, J.P.[Juan P.], Edan, Y.[Yael],
A Method for Selection of Optimal Hand Gesture Vocabularies,
GW07(57-68).
Springer DOI 0705
BibRef
Earlier:
Optimal Hand Gesture Vocabulary Design Using Psycho-Physiological and Technical Factors,
FGR06(257-262).
IEEE DOI 0604
BibRef

Li, Y.T.[Yu-Ting], Wachs, J.P.[Juan P.],
Recognizing hand gestures using the weighted elastic graph matching (WEGM) method,
IVC(31), No. 9, 2013, pp. 649-657.
Elsevier DOI 1308
Elastic bunch graph BibRef

Li, Y.T.[Yu-Ting], Wachs, J.P.[Juan P.],
HEGM: A hierarchical elastic graph matching for hand gesture recognition,
PR(47), No. 1, 2014, pp. 80-88.
Elsevier DOI 1310
BibRef
Earlier:
Hierarchical Elastic Graph Matching for Hand Gesture Recognition,
CIARP12(308-315).
Springer DOI 1209
Elastic bunch graph BibRef

Ionescu, B.[Bogdan], Coquin, D.[Didier], Lambert, P.[Patrick], Buzuloiu, V.[Vasile],
Dynamic Hand Gesture Recognition Using the Skeleton of the Hand,
JASP(2005), No. 13, 2005, pp. 2101-2109.
WWW Link. 0603
BibRef

Licsár, A.[Attila], Szirányi, T.[Tamás],
User-adaptive hand gesture recognition system with interactive training,
IVC(23), No. 12, 1 November 2005, pp. 1102-1114.
Elsevier DOI 0510
BibRef
Earlier:
Dynamic training of hand gesture recognition system,
ICPR04(IV: 971-974).
IEEE DOI 0409
BibRef
Earlier:
Supervised training based hand gesture recognition system,
ICPR02(III: 999-1002).
IEEE DOI 0211
BibRef

Psarrou, A.[Alexandra], Gong, S.G.[Shao-Gang], Walter, M.[Michael],
Recognition of human gestures and behaviour based on motion trajectories,
IVC(20), No. 5-6, 15 April 2002, pp. 349-358.
Elsevier DOI 0204
BibRef
Earlier: A3, A1, A2:
An Incremental Approach Towards Automatic Model Acquisition for Human Gesture Recognition,
HUMO00(39-46).
IEEE Top Reference. 0010
BibRef
Earlier: A3, A1, A2:
Learning Prior Knowledge and Observation Augmented Density Models for Human Behaviour Recognition,
BMVC99(Modelling Human Behaviour).
PDF File. 9909
BibRef
Earlier: A2, A3, A1:
Recognition of Temporal Structures: Learning Prior and Propagating Observation Augmented Densities via Hidden Markov States,
ICCV99(157-162).
IEEE DOI BibRef

Walter, M., Psarrou, A., Gong, S.G.,
Data Driven Model Acquisition using Minimum Description Length,
BMVC01(Session 8: Modelling Behaviour).
HTML Version. 0110
BibRef
Earlier: A1, A3, A2:
Stochastic Temporal Models of Human Activities,
MPeople99(xx-yy). University of Westminster BibRef

Just, A.[Agnes], Marcel, S.[Sebastien],
A comparative study of two state-of-the-art sequence processing techniques for hand gesture recognition,
CVIU(113), No. 4, April 2009, pp. 532-543.
Elsevier DOI 0903
Human-computer interaction; Hand gesture recognition; Hidden Markov Models; Input/output HMM Isolated complex gestures. BibRef

Just, A.[Agnes], Rodriguez, Y.[Yann], Marcel, S.[Sebastien],
Hand Posture Classification and Recognition using the Modified Census Transform,
FGR06(351-356).
IEEE DOI 0604
BibRef

Just, A., Bernier, O.J., Marcel, S.,
HMM and IOHMM for the Recognition of Mono- and Bi-Manual 3D Hand Gestures,
BMVC04(xx-yy).
HTML Version. 0508
BibRef
And:
Recognition of isolated complex mono-and bi-manual 3D hand gestures,
AFGR04(571-576).
IEEE DOI 0411
BibRef

Marcel, S.[Sebastien], Bernier, O.J.[Olivier J.], Viallet, J.E.[Jean-Emmanuel], Collobert, D.[Daniel],
Hand Gesture recognition using Input-Output Hidden Markov Models,
AFGR00(456-461).
IEEE DOI 0003
BibRef

Feng, Z.Q.[Zhi-Quan], Yang, B.[Bo], Chen, Y.H.[Yue-Hui], Zheng, Y.W.[Yan-Wei], Xu, T.[Tao], Li, Y.[Yi], Xu, T.[Ting], Zhu, D.L.[De-Liang],
Features extraction from hand images based on new detection operators,
PR(44), No. 5, May 2011, pp. 1089-1105.
Elsevier DOI 1101
Hand shape features extraction; Multi-scale space; Human hand tracking; Hand shape polygon; Hand gesture recognition BibRef

Zhang, X., Chen, X., Li, Y., Lantz, V., Wang, K., Yang, J.,
A Framework for Hand Gesture Recognition Based on Accelerometer and EMG Sensors,
SMC-A(41), No. 6, November 2011, pp. 1064-1076.
IEEE DOI 1110
BibRef

Cheng, J.[Jun], Xie, C.[Can], Bian, W.[Wei], Tao, D.C.[Da-Cheng],
Feature fusion for 3D hand gesture recognition by learning a shared hidden space,
PRL(33), No. 4, March 2012, pp. 476-484.
Elsevier DOI 1201
Hand gesture recognition; Feature fusion; Shared hidden space; Discrete cosine transform BibRef

Pisharady, P.K.[Pramod Kumar], Vadakkepatt, P.[Prahlad], Loh, A.P.[Ai Poh],
Attention Based Detection and Recognition of Hand Postures Against Complex Backgrounds,
IJCV(101), No. 3, February 2013, pp. 403-419.
WWW Link. 1303
BibRef

Morariu, V.I.[Vlad I.], Harwood, D.[David], Davis, L.S.[Larry S.],
Tracking People's Hands and Feet Using Mixed Network AND/OR Search,
PAMI(35), No. 5, May 2013, pp. 1248-1262.
IEEE DOI 1304
BibRef

Lee, H.T.[Hyung-Tae], Morariu, V.I.[Vlad I.], Davis, L.S.[Larry S.],
Robust Pose Features for Action Recognition,
Cognition14(365-372)
IEEE DOI 1409
BibRef
Earlier:
Qualitative Pose Estimation by Discriminative Deformable Part Models,
ACCV12(II:734-747).
Springer DOI 1304
action recognition; pose feature. deformable part model for pose. BibRef

Liang, H.[Hui], Yuan, J.S.[Jun-Song], Thalmann, D.[Daniel], Zhang, Z.Y.[Zheng-You],
Model-based hand pose estimation via spatial-temporal hand parsing and 3D fingertip localization,
VC(29), No. 6-8, June 2013, pp. 837-848.
WWW Link. 1306
BibRef

Ren, Z., Yuan, J., Meng, J., Zhang, Z.,
Robust Part-Based Hand Gesture Recognition Using Kinect Sensor,
MultMed(15), No. 5, 2013, pp. 1110-1120.
IEEE DOI 1307
Gesture recognition BibRef

Wang, Y.M.[Ya-Ming], Chen, J.S.[Jian-Sheng], Su, G.D.[Guang-Da],
Efficient Hand Segmentation and Fingertip Detection Using Color Features of Skin and Fingernail,
IEICE(E96-D), No. 8, August 2013, pp. 1894-1897.
WWW Link. 1308
BibRef

Rautaray, S.S.[Siddharth Swarup], Agrawal, A.[Anupam],
Hand Gesture Recognition Towards Vocabulary and Application Independency,
IJIG(13), No. 2, April 2013, pp. 1340001.
DOI Link 1308
BibRef

Hsieh, C.C.[Chen-Chiung], Liou, D.H.[Dung-Hua],
Novel Haar features for real-time hand gesture recognition using SVM,
RealTimeIP(10), No. 2, June 2015, pp. 357-370.
WWW Link. 1506
BibRef

Nasri, S.[Saeed], Behrad, A.[Alireza], Razzazi, F.[Farbod],
Spatio-temporal 3D surface matching for hand gesture recognition using ICP algorithm,
SIViP(9), No. 5, July 2015, pp. 1205-1220.
WWW Link. 1506
BibRef

Zhang, C.Y.[Chen-Yang], Tian, Y.L.[Ying-Li],
Histogram of 3D Facets: A depth descriptor for human action and hand gesture recognition,
CVIU(139), No. 1, 2015, pp. 29-39.
Elsevier DOI 1509
Computer vision BibRef

Zhang, C.Y.[Chen-Yang], Yang, X.D.[Xiao-Dong], Tian, Y.L.[Ying-Li],
Histogram of 3D Facets: A characteristic descriptor for hand gesture recognition,
FG13(1-8)
IEEE DOI 1309
image coding BibRef

Wu, X.Y.[Xing-Yu], Mao, X.[Xia], Chen, L.J.[Li-Jiang], Xue, Y.[Yuli],
Trajectory-based view-invariant hand gesture recognition by fusing shape and orientation,
IET-CV(9), No. 6, 2015, pp. 797-805.
DOI Link 1512
computer vision BibRef

Wu, X.Y.[Xing-Yu], Mao, X.[Xia], Chen, L.J.[Li-Jiang], Xue, Y.[Yuli], Rovetta, A.[Alberto],
Point Context: An Effective Shape Descriptor for RST-Invariant Trajectory Recognition,
JMIV(56), No. 3, November 2016, pp. 441-454.
Springer DOI 1609
BibRef

Wu, X.Y.[Xing-Yu], Mao, X.[Xia], Chen, L.J.[Li-Jiang], Xue, Y.[Yuli], Compare, A.[Angelo],
View-Invariant Gesture Recognition Using Nonparametric Shape Descriptor,
ICPR14(544-549)
IEEE DOI 1412
Feature extraction BibRef

Singha, J., Laskar, R.H.,
Self co-articulation detection and trajectory guided recognition for dynamic hand gestures,
IET-CV(10), No. 2, 2016, pp. 143-152.
DOI Link 1603
feature extraction BibRef

Misra, S.[Songhita], Laskar, R.H.[Rabul Hussain],
Comparative framework for vision-based gesturing modes and implementation of robust colour-marker detector for practical environments,
IET-IPR(13), No. 9, 18 July 2019, pp. 1460-1469.
DOI Link 1907
BibRef

Misra, S.[Songhita], Laskar, R.H.[Rabul Hussain],
Comprehensive analysis of a diverse group of features and development of vision-based two-level hand detector under practical environment conditions,
IJCVR(11), No. 2, 2021, pp. 175-200.
DOI Link 2103
BibRef

Lu, W., Tong, Z., Chu, J.,
Dynamic Hand Gesture Recognition With Leap Motion Controller,
SPLetters(23), No. 9, September 2016, pp. 1188-1192.
IEEE DOI 1609
computer vision BibRef

Ding, H.J.[Hui-Jun], He, Q.[Qing], Zeng, L.[Lei], Zhou, Y.J.[Yong-Jin], Shen, M.M.[Min-Min], Dan, G.[Guo],
Motion intent recognition of individual fingers based on mechanomyogram,
PRL(88), No. 1, 2017, pp. 41-48.
Elsevier DOI 1703
Mechanomyogram BibRef

Yang, C.J.[Cheol-Jong], Han, D.K.[David K.], Ko, H.S.[Han-Seok],
Continuous hand gesture recognition based on trajectory shape information,
PRL(99), No. 1, 2017, pp. 39-47.
Elsevier DOI 1710
Gesture, recognition BibRef

Núńez, J.C.[Juan C.], Cabido, R.[Raúl], Pantrigo, J.J.[Juan J.], Montemayor, A.S.[Antonio S.], Vélez, J.F.[José F.],
Convolutional Neural Networks and Long Short-Term Memory for skeleton-based human activity and hand gesture recognition,
PR(76), No. 1, 2018, pp. 80-94.
Elsevier DOI 1801
Deep learning BibRef

Pigou, L.[Lionel], van den Oord, A.[Aäron], Dieleman, S.[Sander], van Herreweghe, M.[Mieke], Dambre, J.[Joni],
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video,
IJCV(126), No. 2-4, April 2018, pp. 430-439.
Springer DOI 1804
BibRef

Pigou, L.[Lionel], van Herreweghe, M.[Mieke], Dambre, J.[Joni],
Gesture and Sign Language Recognition with Temporal Residual Networks,
EmotionComp17(3086-3093)
IEEE DOI 1802
Adaptation models, Assistive technology, Feature extraction, Gesture recognition, Neural networks, Training BibRef

Ma, C.Y.[Chun-Yong], Wang, A.N.[An-Ni], Chen, G.[Ge], Xu, C.[Chi],
Hand joints-based gesture recognition for noisy dataset using nested interval unscented Kalman filter with LSTM network,
VC(34), No. 6-8, June 2018, pp. 1053-1063.
WWW Link. 1806
BibRef

de Smedt, Q.[Quentin], Wannous, H.[Hazem], Vandeborre, J.P.[Jean-Philippe],
Heterogeneous hand gesture recognition using 3D dynamic skeletal data,
CVIU(181), 2019, pp. 60-72.
Elsevier DOI 1903
Dynamic hand gesture recognition, Skeletal data, Classification BibRef

Lebas, A.[Alexandre], Slama, R.[Rim], Wannous, H.[Hazem],
Capsule Transformer Network for Dynamic Hand Gesture Recognition Using Multimodal Data,
ICIP23(2130-2134)
IEEE DOI 2312
BibRef

de Smedt, Q.[Quentin], Wannous, H.[Hazem], Vandeborre, J.P.[Jean-Philippe],
3D Hand Gesture Recognition by Analysing Set-of-Joints Trajectories,
UHA3DS16(86-97).
Springer DOI 1806
BibRef
And:
Skeleton-Based Dynamic Hand Gesture Recognition,
Hands16(1206-1214)
IEEE DOI 1612
BibRef

Slama, R.[Rim], Rabah, W.[Wael], Wannous, H.[Hazem],
STr-GCN: Dual Spatial Graph Convolutional Network and Transformer Graph Encoder for 3D Hand Gesture Recognition,
FG23(1-6)
IEEE DOI 2303
Face recognition, Deep architecture, Gesture recognition, Transformers, Feature extraction, Skeleton, Transformers BibRef

Wang, Y.G.[Yan-Gang], Peng, C.[Cong], Liu, Y.B.[Ye-Bin],
Mask-Pose Cascaded CNN for 2D Hand Pose Estimation From Single Color Image,
CirSysVideo(29), No. 11, November 2019, pp. 3258-3268.
IEEE DOI 1911
Pose estimation, Color, Image segmentation, mask prediction BibRef

Zhang, B.W.[Bao-Wen], Wang, Y.G.[Yan-Gang], Deng, X.M.[Xiao-Ming], Zhang, Y.[Yinda], Tan, P.[Ping], Ma, C.X.[Cui-Xia], Wang, H.A.[Hong-An],
Interacting Two-Hand 3D Pose and Shape Reconstruction from Single Color Image,
ICCV21(11334-11343)
IEEE DOI 2203
Deep learning, Correlation, Codes, Shape, Color, Gestures and body pose, BibRef

Boulahia, S.Y., Anquetil, E., Multon, F., Kulpa, R.,
Dynamic hand gesture recognition based on 3D pattern assembled trajectories,
IPTA17(1-6)
IEEE DOI 1804
BibRef
And: A1, A2, A4, A3:
3D Multistroke Mapping (3DMM): Transfer of Hand-Drawn Pattern Representation for Skeleton-Based Gesture Recognition,
FG17(462-467)
IEEE DOI 1707
gesture recognition, image segmentation, 3D pattern assembled trajectories, DHG dataset, Skeleton joint data. Feature extraction, Kinematics, Pattern recognition, Trajectory. BibRef

Liu, X.J.[Xue-Jiao], Su, Y.Q.[Yong-Qing],
Tracking skeletal fusion feature for one shot learning gesture recognition,
ICIVC17(194-200)
IEEE DOI 1708
Detectors, Feature extraction, Gesture recognition, Hidden Markov models, Image segmentation, Visualization, bag of visual model, dynamic time warping, gesture recognition, skeletal, tracking BibRef

Dadashzadeh, A.[Amirhossein], Targhi, A.T.[Alireza Tavakoli], Tahmasbi, M.[Maryam], Mirmehdi, M.[Majid],
HGR-Net: a fusion network for hand gesture segmentation and recognition,
IET-CV(13), No. 8, December 2019, pp. 700-707.
DOI Link 1912
BibRef

Liu, X.[Xin], Shi, H.L.[Heng-Lin], Hong, X.P.[Xiao-Peng], Chen, H.Y.[Hao-Yu], Tao, D.C.[Da-Cheng], Zhao, G.Y.[Guo-Ying],
3D Skeletal Gesture Recognition via Hidden States Exploration,
IP(29), 2020, pp. 4583-4597.
IEEE DOI 2003
BibRef
Earlier:
Hidden States Exploration for 3D Skeleton-Based Gesture Recognition,
WACV19(1846-1855)
IEEE DOI 1904
Hidden Markov models, Gesture recognition, Matrix decomposition, matrix decomposition. feature extraction, image sequences, image thinning, Time series analysis BibRef

Liu, X.[Xin], Zhao, G.Y.[Guo-Ying],
3D Skeletal Gesture Recognition via Discriminative Coding on Time-Warping Invariant Riemannian Trajectories,
MultMed(23), 2021, pp. 1841-1854.
IEEE DOI 2107
BibRef
Earlier:
3D Skeletal Gesture Recognition via Sparse Coding of Time-Warping Invariant Riemannian Trajectories,
MMMod19(I:678-690).
Springer DOI 1901
Investment, Bicycles, Computational modeling, Economics, Analytical models, Numerical models, Integer programming, time-warping invariant feature BibRef

Ameur, S.[Safa], Ben Khalifa, A.[Anouar], Bouhlel, M.S.[Med Salim],
Chronological pattern indexing: An efficient feature extraction method for hand gesture recognition with Leap Motion,
JVCIR(70), 2020, pp. 102842.
Elsevier DOI 2007
Leap Motion, Hand gesture recognition, Feature extraction, Time series data, Chronological indexing BibRef

Suni, S.S., Gopakumar, K.,
Fusing pyramid histogram of gradients and optical flow for hand gesture recognition,
IJCVR(10), No. 5, 2020, pp. 449-464.
DOI Link 2009
BibRef

Avola, D.[Danilo], Cinque, L.[Luigi], de Marsico, M.[Maria], Fagioli, A.[Alessio], Foresti, G.L.[Gian Luca],
LieToMe: Preliminary study on hand gestures for deception detection via Fisher-LSTM,
PRL(138), 2020, pp. 455-461.
Elsevier DOI 1806
Deception detection, Hand gestures, Fisher vector encoding BibRef

Avola, D.[Danilo], Cinque, L.[Luigi], de Marsico, M.[Maria], di Mambro, A.[Angelo], Fagioli, A.[Alessio], Foresti, G.L.[Gian Luca], Lanzino, R.[Romeo], Scarcello, F.[Francesco],
Lietome: An LSTM-based Method for Deception Detection by Hand Movements,
CIAP23(I:387-398).
Springer DOI 2312
BibRef

Jiang, X.Y.[Xin-Yu], Liu, X.Y.[Xiang-Yu], Fan, J.H.[Jia-Hao], Ye, X.M.[Xin-Ming], Dai, C.Y.[Chen-Yun], Clancy, E.A.[Edward A.], Farina, D.[Dario], Chen, W.[Wei],
Optimization of HD-sEMG-Based Cross-Day Hand Gesture Classification by Optimal Feature Extraction and Data Augmentation,
HMS(52), No. 6, December 2022, pp. 1281-1291.
IEEE DOI 2212
Feature extraction, Task analysis, Electrodes, Training, Robustness, Optimization, Indexes, Gesture recognition, pattern recognition BibRef


Ren, P.F.[Peng-Fei], Wen, C.[Chao], Zheng, X.Z.[Xiao-Zheng], Xue, Z.[Zhou], Sun, H.F.[Hai-Feng], Qi, Q.[Qi], Wang, J.Y.[Jing-Yu], Liao, J.X.[Jian-Xin],
Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image,
ICCV23(7980-7991)
IEEE DOI 2401
BibRef

Uboweja, E.[Esha], Tian, D.[David], Wang, Q.F.[Qi-Fei], Kuo, Y.C.[Yi-Chun], Zou, J.[Joe], Wang, L.[Lu], Sung, G.[George], Grundmann, M.[Matthias],
On-device Real-time Custom Hand Gesture Recognition,
CVMeta23(4275-4279)
IEEE DOI 2401
BibRef

Page, R.[Ryan],
Live Demonstration: Integrating Event Based Hand Tracking Into TouchFree Interactions,
EventVision23(4034-4035)
IEEE DOI 2309
BibRef

Wang, D.W.[Deng-Wen], Wang, W.M.[Wang-Meng], Chen, Y.B.[Yan-Bing], Tie, Z.X.[Zhi-Xin],
Traffic Police Gesture Recognition Based on Openpose and GRU,
ICIVC22(45-50)
IEEE DOI 2301
Image recognition, Law enforcement, Gesture recognition, Logic gates, Streaming media, Feature extraction, Skeleton, GRU BibRef

Kapuscinski, T.[Tomasz], Mis, M.[Mateusz],
Differential Pseudo-Image for Skeleton-Based Dynamic Gesture Recognition,
ICIP22(4203-4207)
IEEE DOI 2211
Image recognition, Imaging, Gesture recognition, Assistive technologies, Skeleton, Convolutional neural networks, transfer learning BibRef

Kim, D.Y.[Do Yeon], Kim, D.H.[Dae Ha], Song, B.C.[Byung Cheol],
RPFNET: Complementary Feature Fusion for Hand Gesture Recognition,
ICIP22(986-990)
IEEE DOI 2211
Point cloud compression, Image recognition, Adaptive systems, Navigation, Gesture recognition, Task analysis, low-rank pooling BibRef

Elsts, A.[Atis], Ivanovs, M.[Maksims], Kadikis, R.[Roberts], Sabelnikovs, O.[Olegs],
CNN for Hand Washing Movement Classification: What Matters More - the Approach or the Dataset?,
IPTA22(1-6)
IEEE DOI 2206
Training, COVID-19, Infectious diseases, Hospitals, Image processing, Machine learning, Monitoring, CNN, movement classification, hand hygiene BibRef

d'Eusanio, A.[Andrea], Pini, S.[Stefano], Borghi, G.[Guido], Simoni, A.[Alessandro], Vezzani, R.[Roberto],
Unsupervised Detection of Dynamic Hand Gestures from Leap Motion Data,
CIAP22(I:414-424).
Springer DOI 2205
BibRef

Fan, L.F.[Li-Feng], Qiu, S.[Shuwen], Zheng, Z.[Zilong], Gao, T.[Tao], Zhu, S.C.[Song-Chun], Zhu, Y.X.[Yi-Xin],
Learning Triadic Belief Dynamics in Nonverbal Communication from Videos,
CVPR21(7308-7317)
IEEE DOI 2111
Visualization, Graphical models, Heuristic algorithms, Predictive models, Probabilistic logic BibRef

Tsutsui, S.[Satoshi], Fu, Y.W.[Yan-Wei], Crandall, D.[David],
Whose hand is this? Person Identification from Egocentric Hand Gestures,
WACV21(3398-3407)
IEEE DOI 2106
Training, Visualization, Shape, Face recognition, Gesture recognition BibRef

Rojas-Muńoz, E., Wachs, J.P.,
The MAGIC of E-Health: A Gesture-Based Approach to Estimate Understanding and Performance in Remote Ultrasound Tasks,
FG20(723-727)
IEEE DOI 2102
biomedical ultrasonics, blood, gesture recognition, human computer interaction, human factors, Human Computer Interaction BibRef

Hoang, N.N., Lee, G., Kim, S., Yang, H.,
Continuous Hand Gesture Spotting and Classification Using 3D Finger Joints Information,
ICIP19(539-543)
IEEE DOI 1910
Continuous dynamic hand gestures recognition, gesture spotting, gesture classification BibRef

Nguyen, X.S.[Xuan Son], Brun, L.[Luc], Lezoray, O.[Olivier], Bougleux, S.[Sebastien],
A Neural Network Based on SPD Manifold Learning for Skeleton-Based Hand Gesture Recognition,
CVPR19(12028-12037).
IEEE DOI 2002
BibRef

Hasson, Y.[Yana], Varol, G.[Gul], Tzionas, D.[Dimitrios], Kalevatykh, I.[Igor], Black, M.J.[Michael J.], Laptev, I.[Ivan], Schmid, C.[Cordelia],
Learning Joint Reconstruction of Hands and Manipulated Objects,
CVPR19(11799-11808).
IEEE DOI 2002
BibRef

Tekin, B.[Bugra], Bogo, F.[Federica], Pollefeys, M.[Marc],
H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions,
CVPR19(4506-4515).
IEEE DOI 2002
BibRef

Liu, J., Furusawa, K., Tateyama, T., Iwamoto, Y., Chen, Y.,
An Improved Hand Gesture Recognition with Two-Stage Convolution Neural Networks Using a Hand Color Image and its Pseudo-Depth Image,
ICIP19(375-379)
IEEE DOI 1910
pseudo depth image, Convolutional neural network, image-to-image translation, hand gesture recognition, two-stream BibRef

Fan, C.Y.[Chen-You], Lee, J.[Jangwon], Ryoo, M.S.[Michael S.],
Forecasting Hands and Objects in Future Frames,
AnticipateBeh18(III:124-137).
Springer DOI 1905
BibRef

Pintea, S.L.[Silvia L.], Zheng, J.[Jian], Li, X.L.[Xi-Lin], Bank, P.J.M.[Paulina J. M.], van Hilten, J.J.[Jacobus J.], van Gemert, J.C.[Jan C.],
Hand-Tremor Frequency Estimation in Videos,
Hands18(VI:213-228).
Springer DOI 1905
BibRef

Oikonomidis, I.[Iason], Garcia-Hernando, G.[Guillermo], Yao, A.[Angela], Argyros, A.A.[Antonis A.], Lepetit, V.[Vincent], Kim, T.K.[Tae-Kyun],
HANDS18: Methods, Techniques and Applications for Hand Observation,
Hands18(VI:302-312).
Springer DOI 1905
BibRef

Antotsiou, D.[Dafni], Garcia-Hernando, G.[Guillermo], Kim, T.K.[Tae-Kyun],
Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation,
Hands18(VI:287-301).
Springer DOI 1905
BibRef

Hou, J.X.[Jing-Xuan], Wang, G.J.[Gui-Jin], Chen, X.H.[Xing-Hao], Xue, J.H.[Jing-Hao], Zhu, R.[Rui], Yang, H.Z.[Hua-Zhong],
Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture Recognition,
Hands18(VI:273-286).
Springer DOI 1905
BibRef

Lewis, B.[Brittany], Nycz, C.J.[Christopher J.], Fischer, G.S.[Gregory S.], Venkatasubramanian, K.K.[Krishna K.],
Authentication-Based on Biomechanics of Finger Movements Captured Using Optical Motion-Capture,
ISVC18(167-179).
Springer DOI 1811
BibRef

Weng, J.[Junwu], Liu, M.Y.[Meng-Yuan], Jiang, X.D.[Xu-Dong], Yuan, J.S.[Jun-Song],
Deformable Pose Traversal Convolution for 3D Action and Gesture Recognition,
ECCV18(VII: 142-157).
Springer DOI 1810
BibRef

Devineau, G., Moutarde, F., Xi, W., Yang, J.,
Deep Learning for Hand Gesture Recognition on Skeletal Data,
FG18(106-113)
IEEE DOI 1806
Computer architecture, Feature extraction, Gesture recognition, Joints, Machine learning, Sparse Input Representation BibRef

Cho, S.[Sangwoo], Foroosh, H.[Hassan],
Spatio-Temporal Fusion Networks for Action Recognition,
ACCV18(I:347-364).
Springer DOI 1906
BibRef
Earlier:
A Temporal Sequence Learning for Action Recognition and Prediction,
WACV18(352-361)
IEEE DOI 1806
feedforward neural nets, gesture recognition, image motion analysis, learning (artificial intelligence), Visualization BibRef

Canavan, S., Keyes, W., McCormick, R., Kunnumpurath, J., Hoelzel, T., Yin, L.,
Hand gesture recognition using a skeleton-based feature representation with a random regression forest,
ICIP17(2364-2368)
IEEE DOI 1803
Assistive technology, Cameras, Gesture recognition, Thumb, Vegetation, ASL, Gesture, Leap, recognition BibRef

Chen, X., Guo, H., Wang, G., Zhang, L.,
Motion feature augmented recurrent neural network for skeleton-based dynamic hand gesture recognition,
ICIP17(2881-2885)
IEEE DOI 1803
Dynamics, Feature extraction, Gesture recognition, Recurrent neural networks, Skeleton, Thumb, Skeleton BibRef

Baradel, F., Wolf, C., Mille, J.,
Human Action Recognition: Pose-Based Attention Draws Focus to Hands,
Hands17(604-613)
IEEE DOI 1802
Computer architecture, Feature extraction, Recurrent neural networks, Streaming media, Visualization BibRef

Choi, C., Kim, S., Ramani, K.,
Learning Hand Articulations by Hallucinating Heat Distribution,
ICCV17(3123-3132)
IEEE DOI 1802
gesture recognition, image representation, learning (artificial intelligence), pose estimation, Training BibRef

Cardenas, E.E.[Edwin Escobedo], Camara-Chavez, G.[Guillermo],
Fusion of Deep Learning Descriptors for Gesture Recognition,
CIARP17(212-219).
Springer DOI 1802
BibRef
Earlier:
A robust gesture recognition using hand local data and skeleton trajectory,
ICIP15(1240-1244)
IEEE DOI 1512
global and local information BibRef

Hu, K.N.[Kao-Ning], Yin, L.J.[Li-Jun],
Multiple feature representations from multi-layer geometric shape for hand gesture analysis,
FG15(1-7)
IEEE DOI 1508
feature extraction BibRef

Zhou, Y.M.[Yi-Min], Jiang, G.L.[Guo-Lai], Xu, G.Q.[Guo-Qing], Lin, Y.R.[Yao-Rong],
Hand Gesture Recognition Based on the Parallel Edge Finger Feature and Angular Projection,
FSLCV14(III: 206-217).
Springer DOI 1504
BibRef

Evangelidis, G.D.[Georgios D.], Singh, G.[Gurkirt], Horaud, R.[Radu],
Continuous Gesture Recognition from Articulated Poses,
ChaLearn14(595-607).
Springer DOI 1504

See also Continuous Action Recognition Based on Sequence Alignment. BibRef

Yousefi, S.[Shahrouz], Li, H.B.[Hai-Bo], Liu, L.[Li],
3D Gesture Analysis Using a Large-Scale Gesture Database,
ISVC14(I: 206-217).
Springer DOI 1501
BibRef

Cabral, M.[Marcio], Montes, A.[Andre], Belloc, O.[Olavo], Ferraz, R.[Rodrigo], Teubl, F.[Fernando], Doreto, F.[Fabio], Lopes, R.[Roseli], Zuffo, M.[Marcelo],
Bi-manual gesture interaction for 3D cloud point selection and annotation using COTS,
3DUI14(187-188)
IEEE DOI 1406
BibRef

Sridhar, S.[Srinath], Oulasvirta, A.[Antti], Theobalt, C.[Christian],
Interactive Markerless Articulated Hand Motion Tracking Using RGB and Depth Data,
ICCV13(2456-2463)
IEEE DOI 1403
3D pose estimation BibRef

Yao, Y.[Yi], Li, C.T.[Chang-Tsun],
Hand Gesture Segmentation in Uncontrolled Environments with Partition Matrix and a Spotting Scheme Based on Hidden Conditional Random Fields,
ACPR13(842-846)
IEEE DOI 1408
BibRef
Earlier:
Real-Time Hand Gesture Recognition for Uncontrolled Environments Using Adaptive SURF Tracking and Hidden Conditional Random Fields,
ISVC13(II:542-551).
Springer DOI 1311
image segmentation BibRef

Jeon, J.H.[Je-Hyoung], Oh, B.S.[Beom-Seok], Toh, K.A.[Kar-Ann],
A system for hand gesture based signature recognition,
ICARCV12(171-175).
IEEE DOI 1304
BibRef

Glomb, P.[Przemyslaw], Romaszewski, M.[Michal], Opozda, S.[Sebastian], Sochan, A.[Arkadiusz],
Choosing and Modeling the Hand Gesture Database for a Natural User Interface,
GW11(24-35).
Springer DOI 1211
BibRef

Oikonomidis, I., Kyriazis, N., Argyros, A.A.,
Tracking the articulated motion of two strongly interacting hands,
CVPR12(1862-1869).
IEEE DOI 1208
BibRef

Bigdelou, A.[Ali], Benz, T.[Tobias], Schwarz, L.[Loren], Navab, N.[Nassir],
Simultaneous categorical and spatio-temporal 3D gestures using Kinect,
3DUI12(53-60).
IEEE DOI 1204
BibRef

Ren, G.[Gang], O'Neill, E.[Eamonn],
3D Marking menu selection with freehand gestures,
3DUI12(61-68).
IEEE DOI 1204
BibRef

Minnen, D.[David], Zafrulla, Z.[Zahoor],
Towards robust cross-user hand tracking and shape recognition,
ConDepth11(1235-1241).
IEEE DOI 1201
BibRef

Schlecht, J.[Joseph], Carque, B.[Bernd], Ommer, B.[Bjorn],
Detecting gestures in medieval images,
ICIP11(1285-1288).
IEEE DOI 1201
BibRef

Lamberti, L.[Luigi], Camastra, F.[Francesco],
Real-Time Hand Gesture Recognition Using a Color Glove,
CIAP11(I: 365-373).
Springer DOI 1109
BibRef

Lin, S.Y.[Shih-Yao], Lai, Y.C.[Yun-Chien], Chan, L.W.[Li-Wei], Hung, Y.P.[Yi-Ping],
Real-Time 3D Model-Based Gesture Tracking for Multimedia Control,
ICPR10(3822-3825).
IEEE DOI 1008
BibRef

Malgireddy, M.R.[Manavender R.], Nwogu, I.[Ifeoma], Ghosh, S.[Subarna], Govindaraju, V.[Venu],
A Shared Parameter Model for Gesture and Sub-gesture Analysis,
IWCIA11(483-493).
Springer DOI 1105
BibRef

Malgireddy, M.R.[Manavender R.], Corso, J.J.[Jason J.], Setlur, S.[Srirangaraj], Govindaraju, V.[Venu], Mandalapu, D.[Dinesh],
A Framework for Hand Gesture Recognition and Spotting Using Sub-gesture Modeling,
ICPR10(3780-3783).
IEEE DOI 1008
BibRef

Ali, M.R.[Muhammad Raza], Morris, T.[Tim],
Skin Locus Based Skin Detection for Gesture Recognition,
BMVCWS10(xx-yy).
HTML Version. 1009
BibRef

Hamer, H.[Henning], Gall, J.[Juergen], Urtasun, R.[Raquel], Van Gool, L.J.[Luc J.],
Data-driven animation of hand-object interactions,
FG11(360-367).
IEEE DOI 1103
BibRef

Hamer, H.[Henning], Gall, J.[Juergen], Weise, T.[Thibaut], Van Gool, L.J.[Luc J.],
An object-dependent hand pose prior from sparse training data,
CVPR10(671-678).
IEEE DOI 1006
BibRef

Hamer, H.[Henning], Schindler, K.[Konrad], Koller-Meier, E.[Esther], Van Gool, L.J.[Luc J.],
Tracking a hand manipulating an object,
ICCV09(1475-1482).
IEEE DOI 0909
BibRef

Xu, Y.S.[Yi-Shen], Gu, J.H.[Ji-Hua], Tao, Z.[Zhi], Wu, D.[Di],
Bare Hand Gesture Recognition with a Single Color Camera,
CISP09(1-4).
IEEE DOI 0910
BibRef

Zhu, L.Q.[Le-Qing],
2D Finger Shape Recognition Based on Local Zero-Order Moment Features,
CISP09(1-4).
IEEE DOI 0910
BibRef

Fleischer, F.[Falk], Casile, A.[Antonino], Giese, M.A.[Martin A.],
Bio-inspired Approach for the Recognition of Goal-Directed Hand Actions,
CAIP09(714-722).
Springer DOI 0909
BibRef

Nagayoshi, H.[Hiroto], Watanabe, T.[Takashi], Kagehiro, T.[Tatsuhiko], Ogata, H.[Hisao], Yasue, T.[Tsukasa], Sako, H.[Hiroshi],
Detection of a Hand Holding a Cellular Phone Using Multiple Image Features,
CIAP09(151-160).
Springer DOI 0909
BibRef

Moreno, P.[Plinio], Santos-Victor, J.[José],
Waving Detection Using the FuzzyBoost Algorithm and Flow-Based Features,
ICIAR13(19-26).
Springer DOI 1307
BibRef

Moreno, P.[Plinio], Bernardino, A.[Alexandre], Santos-Victor, J.[José],
Waving Detection Using the Local Temporal Consistency of Flow-Based Features for Real-Time Applications,
ICIAR09(886-895).
Springer DOI 0907
people waving in video.
See also Improving the SIFT descriptor with smooth derivative filters. BibRef

Vafadar, M.[Maryam], Behrad, A.[Alireza],
Human Hand Gesture Recognition Using Motion Orientation Histogram for Interaction of Handicapped Persons with Computer,
ICISP08(378-385).
Springer DOI 0807
BibRef

de Falco, I.[Ivanoe], Della Cioppa, A.[Antonio], Maisto, D.[Domenico], Scafuri, U.[Umberto], Tarantino, E.[Ernesto],
Automatic Recognition of Hand Gestures with Differential Evolution,
EvoIASP08(xx-yy).
Springer DOI 0804

See also Satellite Image Registration by Distributed Differential Evolution. BibRef

Okkonen, M.A.[Matti-Antero], Kellokumpu, V.[Vili], Pietikäinen, M.[Matti], Heikkilä, J.[Janne],
A Visual System for Hand Gesture Recognition in Human-Computer Interaction,
SCIA07(709-718).
Springer DOI 0706
BibRef

Chong, A.K.,
Photogrammetry for digital hand surface capture in swimming performance study,
IEVM06(xx-yy).
PDF File. 0609
BibRef

Stergiopoulou, E., Papamarkos, N.,
A New Technique for Hand Gesture Recognition,
ICIP06(2657-2660).
IEEE DOI 0610
BibRef

Tian, T.P.[Tai-Peng], Sclaroff, S.[Stan],
Handsignals Recognition From Video Using 3D Motion Capture Data,
Motion05(II: 189-194).
IEEE DOI 0502
BibRef

Howell, A.J.[A. Jonathan], Sage, K.[Kingsley], Buxton, H.[Hilary],
Developing Task-Specific RBF Hand Gesture Recognition,
GW03(269-276).
Springer DOI 0405
BibRef

Sage, K.[Kingsley], Howell, A.J.[A. Jonathan], Buxton, H.[Hilary],
Developing Context Sensitive HMM Gesture Recognition,
GW03(277-287).
Springer DOI 0405
BibRef

Howell, A.J.[A. Jonathan], Buxton, H.[Hilary],
Gesture Recognition for Visually Mediated Interaction,
GW99(141).
Springer DOI 9903
BibRef
Earlier:
Learning Gestures for Visually Mediated Interaction,
BMVC98(xx-yy).
See also Face Detection and Attentional Frames for Visually Mediated Interaction. BibRef

Tomasi, C., Petrov, S., Sastry, A.,
3D Tracking = Classification + Interpolation,
ICCV03(1441-1448).
IEEE DOI 0311
For hand gestures. Fast motions are hard to track (for people or computers). Use 3-D models. BibRef

Jeong, M.H.[Mun Ho], Kuno, Y., Shimada, N., Shirai, Y.,
Two-hand gesture recognition using coupled switching linear model,
ICPR02(I: 9-12).
IEEE DOI 0211
BibRef
And: ICPR02(III: 529-532).
IEEE DOI 0211
BibRef

Jeong, M.H.[Mun Ho], Kuno, Y., Shimada, N., Shirai, Y.,
Recognition of shape-changing hand gestures based on switching linear model,
CIAP01(14-19).
IEEE DOI 0210
BibRef

Florez, F., Garcia, J.M., Garica, J., Hernandez, A.,
Hand gesture recognition following the dynamics of a topology-preserving network,
AFGR02(303-308).
IEEE DOI 0206
BibRef

Bretzner, L., Laptev, I., Lindeberg, T.,
Hand gesture recognition using multi-scale colour features, hierarchical models and particle filtering,
AFGR02(405-410).
IEEE DOI 0206
BibRef

Lindeberg, T., Laptev, I.,
Tracking of multi-state hand models using particle filtering and a hierarchy of multi-scale image features,
ScaleSpace01(xx-yy). 0106
BibRef

Morguet, P., Lang, M.,
Spotting dynamic hand gestures in video image sequences using hidden Markov models,
ICIP98(III: 193-197).
IEEE DOI 9810
BibRef

Hienz, H., Grobel, K., Offner, G.,
Real-time hand-arm motion analysis using a single video camera,
AFGR96(323-327).
IEEE DOI 9610
BibRef

Ko, I.J., Choi, H.I.[Hyung-Il],
A frame-based model for hand gesture recognition,
ICIP96(III: 515-518).
IEEE DOI BibRef 9600

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Multi-Modal Gesture Recognition, Multimodal Recognition .


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