22.4.2.6.6 Gesture Systems, Using Depth Images, Range Data, Stereo Analysis for Gestures

Chapter Contents (Back)
Gesture. Depth. Stereo. Kinect. RGB-D. Three-Dimensional.

PrimeSense,
2005. Gesture recognition.
WWW Link. Vendor, Stereo. Vendor, Gesture. Hardware, Stereo. Stereo, Real time. 3-D inputs, stereo. Especially gesture systems for consumer electronics interfaces. Realtime depth, color and audio for the recognition. This work forms part of the foundation for the Kinect. Bought by Apple November 2013.

Abe, K., Saito, H., Ozawa, S.,
Virtual 3-D interface system via hand motion recognition from two cameras,
SMC-A(32), No. 4, July 2002, pp. 536-540.
IEEE Top Reference. 0301
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Tsap, L.V.[Leonid V.],
Gesture-Tracking in Real Time with Dynamic Regional Range Computation,
RealTimeImg(8), No. 2, April 2002, pp. 115-126.
DOI Link 0208

See also Nonrigid Motion Analysis Based on Dynamic Refinement of Finite Element Models. BibRef

Yin, X.M.[Xiao-Ming], Xie, M.[Ming],
Estimation of the fundamental matrix from uncalibrated stereo hand images for 3D hand gesture recognition,
PR(36), No. 3, March 2003, pp. 567-584.
Elsevier DOI 0301
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Yin, X.M.[Xiao-Ming], Xie, M.[Ming],
Finger identification and hand posture recognition for human-robot interaction,
IVC(25), No. 8, 1 August 2007, pp. 1291-1300.
Elsevier DOI 0706
Hand finger identification; Hand posture recognition; Hand image segmentation; Human-robot interaction; Robot programming 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

Bray, M.[Matthieu], Koller-Meier, E.[Esther], Muller, P., Schraudolph, N.N.[Nicol N.], Van Gool, L.J.[Luc J.],
Stochastic optimisation for high-dimensional tracking in dense range maps,
VISP(152), No. 4, August 2005, pp. 501-512.
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Bray, M.[Matthieu], Koller-Meier, E.[Esther], Schraudolph, N.N.[Nicol N.], Van Gool, L.J.[Luc J.],
Fast stochastic optimization for articulated structure tracking,
IVC(25), No. 3, March 2007, pp. 352-364.
Elsevier DOI 0701
BibRef
Earlier:
Stochastic Meta-Descent for Tracking Articulated Structures,
Non-Rigid04(7).
IEEE DOI 0502
Stochastic meta-descent; Hand tracking; Deformable hand model Incorporate depth and surface orientation. BibRef

Bray, M., Koller-Meier, E.[Esther], Van Gool, L.J.[Luc J.],
Smart particle filtering for high-dimensional tracking,
CVIU(106), No. 1, April 2007, pp. 116-129.
Elsevier DOI 0704
BibRef
Earlier:
Smart particle filtering for 3D hand tracking,
AFGR04(675-680).
IEEE DOI 0411
Stochastic meta-descent (SMD); Importance sampling; Smart particle filter (SPF); Hand tracking BibRef

Guan, C.[Chun], Hassebrook, L.G.[Laurence G.], Lau, D.L.[Daniel L.], Yalla, V.[Veeraganesh],
Near-infrared composite pattern projection for continuous motion hand-computer interaction,
JVCIR(18), No. 2, April 2007, pp. 141-150.
Elsevier DOI 0711
Structured light; Augmented reality; Virtual reality; Human-computer interaction; 3D data acquisition BibRef

Malassiotis, S.[Sotiris], Strintzis, M.G.[Michael G.],
Real-time hand posture recognition using range data,
IVC(26), No. 7, 2 July 2008, pp. 1027-1037.
Elsevier DOI 0804
Range data; Gesture; Hand; Real time
See also Robust real-time 3D head pose estimation from range data. BibRef

Munoz-Salinas, R.[Rafael], Medina-Carnicer, R., Madrid-Cuevas, F.J., Carmona-Poyato, A.,
Depth silhouettes for gesture recognition,
PRL(29), No. 3, 1 February 2008, pp. 319-329.
Elsevier DOI 0801
Gesture recognition; Depth information; Silhouettes; Motion templates; HMM; SVM
See also Multi-camera head pose estimation. BibRef

Holte, M.B., Moeslund, T.B., Fihl, P.,
View-invariant gesture recognition using 3D optical flow and harmonic motion context,
CVIU(114), No. 12, December 2010, pp. 1353-1361.
Elsevier DOI 1011
BibRef
Earlier:
Fusion of range and intensity information for view invariant gesture recognition,
TOF-CV08(1-7).
IEEE DOI 0806
Time-of-Flight camera; Action recognition; View-invariant; Motion primitives; Optical flow; Spherical harmonics BibRef

Zivkovic, Z.[Zoran],
Wireless smart camera network for real-time human 3D pose reconstruction,
CVIU(114), No. 11, November 2010, pp. 1215-1222.
Elsevier DOI 1011
3D object tracking; Multi-camera systems; Wireless camera networks; Embedded processing; Distributed processing; Approximate Bayesian filtering BibRef

Zivkovic, Z.[Zoran], Kliger, V.[Vitaly], Kleihorst, R.P.[Richard P.], Danilin, A.[Alexander], Schueler, B.[Ben], Arturi, G.[Giuseppe], Chang, C.C.[Chung-Ching], Aghajan, H.[Hamid],
Toward low latency gesture control using smart camera network,
EmbedCV08(1-8).
IEEE DOI 0806

See also Real-Time Human Pose Estimation: A Case Study in Algorithm Design for Smart Camera Networks.
See also User-Centric Environment Discovery With Camera Networks in Smart Homes. BibRef

Leyvand, T.[Tommer], Meekhof, C.[Casey], Wei, Y.C.[Yi-Chen], Sun, J.[Jian], Guo, B.N.[Bai-Ning],
Kinect Identity: Technology and Experience,
Computer(44), No. 4, April 2011, pp. 94-96.
IEEE DOI 1104
BibRef

Mahotra, S.[Sidharth], Patlolla, C.[Chandrasekhar], Kehtarnavaz, N.[Nasser],
Real-time computation of disparity for hand-pair gesture recognition using a stereo webcam,
RealTimeIP(7), No. 4, December 2012, pp. 257-266.
WWW Link. 1212
BibRef

Liu, K.[Kui], Kehtarnavaz, N.[Nasser],
Real-time robust vision-based hand gesture recognition using stereo images,
RealTimeIP(11), No. 1, January 2016, pp. 201-209.
WWW Link. 1601
BibRef

Molina, J.[Javier], Escudero-Viñolo, M.[Marcos], Signoriello, A.[Alessandro], Pardàs, M.[Montse], Ferrán, C.[Christian], Bescós, J.[Jesús], Marqués, F.[Ferran], Martínez, J.M.[José M.],
Real-time user independent hand gesture recognition from time-of-flight camera video using static and dynamic models,
MVA(24), No. 1, January 2013, pp. 187-204.
WWW Link. 1301
BibRef

Bowman, D.A.[Doug A.], McMahan, R.P.[Ryan P.], Ragan, E.D.[Eric D.],
Questioning Naturalism in 3D User Interfaces,
CACM(55), No. 9, September 2012, pp. 78-88.
DOI Link 1209
Three-dimensional user interfaces are uniquely able to achieve superior interaction fidelity, and this naturalism can be a huge advantage. BibRef

Feng, Z.Q.[Zhi-Quan], Yang, B.[Bo], Li, Y.[Yi], Zheng, Y.W.[Yan-Wei], Zhao, X.Y.[Xiu-Yang], Yin, J.Q.[Jian-Qin], Meng, Q.F.[Qing-Fang],
Real-time oriented behavior-driven 3D freehand tracking for direct interaction,
PR(46), No. 2, February 2013, pp. 590-608.
Elsevier DOI 1210
Freehand tracking; Human-computer interaction; Behavioral model BibRef

Yousefi, S.[Shahrouz], Kondori, F.A.[Farid Abedan], Li, H.B.[Hai-Bo],
Experiencing real 3D gestural interaction with mobile devices,
PRL(34), No. 8, June 2013, pp. 912-921.
Elsevier DOI 1305
BibRef
Earlier:
3D Gestural Interaction for Stereoscopic Visualization on Mobile Devices,
CAIP11(II: 555-562).
Springer DOI 1109
3D mobile interaction; Rotational symmetries; Gesture detection; SIFT; Gesture tracking; stereoscopic visualization BibRef

Qin, S.X.[Shu-Xin], Yang, Y.P.[Yi-Ping], Jiang, Y.S.[Yong-Shi],
Retraction Notice: Model-based 3D tracking of an articulated hand from single depth images,
PRL(34), No. 16, 2013, pp. 2199-.
Elsevier DOI 1310
BibRef
And: Original retracted paper. PRL(34), No. 12, 1 September 2013, pp. 1437-1445.
Elsevier DOI 1306
BibRef

Wang, C.[Chun], Lai, Z.Y.[Zhong-Yuan], Wang, H.Y.[Hong-Yuan],
Hand Gesture Recognition Based on Perceptual Shape Decomposition with a Kinect Camera,
IEICE(E96-D), No. 9, September 2013, pp. 2147-2151.
WWW Link. 1309
BibRef

Jiang, F.[Feng], Wu, S.[Shen], Gao, Y.[Yang], Zhao, D.B.[De-Bin], Kung, S.Y.,
Viewpoint-independent hand gesture recognition with Kinect,
SIViP(8), No. S1, December 2014, pp. 163-172.
WWW Link. 1411
BibRef

Wu, S.[Shen], Jiang, F.[Feng], Zhao, D.B.[De-Bin], Liu, S.H.[Shao-Hui], Gao, W.[Wen],
Viewpoint-independent hand gesture recognition system,
VCIP12(1-5).
IEEE DOI 1302
BibRef

Jiang, F.[Feng], Wang, C.[Cuihua], Gao, Y.[Yang], Wu, S.[Shen], Zhao, D.B.[De-Bin],
Discriminating features learning in hand gesture classification,
IET-CV(9), No. 5, 2015, pp. 673-680.
DOI Link 1511
feature extraction BibRef

Wang, C.[Chong], Liu, Z.[Zhong], Chan, S.C.[Shing-Chow],
Superpixel-Based Hand Gesture Recognition With Kinect Depth Camera,
MultMed(17), No. 1, January 2015, pp. 29-39.
IEEE DOI 1502
feature extraction BibRef

Wang, C.[Chong], Liu, Z.[Zhong], Zhu, M.F.[Min-Feng], Zhao, J.Y.[Jie-Yu], Chan, S.C.[Shing-Chow],
A hand gesture recognition system based on canonical superpixel-graph,
SP:IC(58), No. 1, 2017, pp. 87-98.
Elsevier DOI 1710
Hand, gesture, recognition BibRef

Moya, S.[Sergio], Grau, S.[Sergi], Tost, D.[Dani],
The wise cursor: assisted selection in 3D serious games,
VC(29), No. 6-8, June 2013, pp. 795-804.
WWW Link. 1306
BibRef

Wang, H.J.[Han-Jie], Fu, J.J.[Jing-Jing], Lu, Y.[Yan], Chen, X.L.[Xi-Lin], Li, S.P.[Shi-Peng],
Depth sensor assisted real-time gesture recognition for interactive presentation,
JVCIR(24), No. 8, 2013, pp. 1458-1468.
Elsevier DOI 1312
Gesture recognition BibRef

Zhang, X.[Xin], Ye, Z.C.[Zhi-Chao], Jin, L.W.[Lian-Wen], Feng, Z.Y.[Zi-Yong], Xu, S.J.[Shao-Jie],
A New Writing Experience: Finger Writing in the Air Using a Kinect Sensor,
MultMedMag(20), No. 4, October 2013, pp. 85-93.
IEEE DOI 1403
image colour analysis BibRef

Kirac, F.[Furkan], Kara, Y.E.[Yunus Emre], Akarun, L.[Lale],
Hierarchically constrained 3D hand pose estimation using regression forests from single frame depth data,
PRL(50), No. 1, 2014, pp. 91-100.
Elsevier DOI 1410
Hand gesture BibRef

Keskin, C.[Cem], Kirac, F.[Furkan], Kara, Y.E.[Yunus Emre], Akarun, L.[Lale],
Real time hand pose estimation using depth sensors,
ConDepth11(1228-1234).
IEEE DOI 1201
BibRef

Dominio, F.[Fabio], Donadeo, M.[Mauro], Zanuttigh, P.[Pietro],
Combining multiple depth-based descriptors for hand gesture recognition,
PRL(50), No. 1, 2014, pp. 101-111.
Elsevier DOI 1410
Gesture recognition BibRef

Hernández-Vela, A.[Antonio], Bautista, M.Á.[Miguel Ángel], Perez-Sala, X.[Xavier], Ponce-López, V.[Víctor], Escalera, S.[Sergio], Baró, X.[Xavier], Pujol, O.[Oriol], Angulo, C.[Cecilio],
Probability-based Dynamic Time Warping and Bag-of-Visual-and-Depth-Words for Human Gesture Recognition in RGB-D,
PRL(50), No. 1, 2014, pp. 112-121.
Elsevier DOI 1410
RGB-D BibRef

Hernandez-Vela, A.[Antonio],
From pixels to gestures: learning visual representations for human analysis in color and depth data sequences,
ELCVIA(14), No. 3, 2015, pp. xx-yy.
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Thesis summary. BibRef

Traver, V.J.[V. Javier], Latorre-Carmona, P.[Pedro], Salvador-Balaguer, E.[Eva], Pla, F.[Filiberto], Javidi, B.[Bahram],
Human Gesture Recognition Using Three-Dimensional Integral Imaging,
JOSA-A(31), No. 10, October 2014, pp. 2312-2320.
DOI Link 1411
Video BibRef

Traver, V.J.[V. Javier], Latorre-Carmona, P.[Pedro], Salvador-Balaguer, E.[Eva], Pla, F.[Filiberto], Javidi, B.[Bahram],
Three-Dimensional Integral Imaging for Gesture Recognition Under Occlusions,
SPLetters(24), No. 2, February 2017, pp. 171-175.
IEEE DOI 1702
gesture recognition BibRef

Latorre-Carmona, P.[Pedro], Pla, F.[Filiberto], Salvador-Balaguer, E.[Eva], Javidi, B.[Bahram],
3D human gesture recognition using integral imaging,
SPIE(Newsroom), April 28, 2015.
DOI Link 1507
Synthetic aperture integral imaging recognizes human actions better than monocular acquisition technology. BibRef

Feng, Z.Q.[Zhi-Quan], Yang, B.[Bo], Lv, N.[Na], Xu, T.[Tao], Yin, J.Q.[Jian-Qin], Zhao, X.Y.[Xiu-Yang], Feng, S.C.[Shi-Chang],
Motion-towards-each-other-based hand gesture initialization,
PR(48), No. 12, 2015, pp. 4049-4056.
Elsevier DOI 1509
3D human hand gesture model BibRef

Yang, J.Y.[Jian-Yu], Yuan, J.S.[Jun-Song], Li, Y.F.[You-Fu],
Parsing 3D motion trajectory for gesture recognition,
JVCIR(38), No. 1, 2016, pp. 627-640.
Elsevier DOI 1605
3D trajectory representation BibRef

Wan, J.[Jun], Guo, G.D.[Guo-Dong], Li, S.Z.[Stan Z.],
Explore Efficient Local Features from RGB-D Data for One-Shot Learning Gesture Recognition,
PAMI(38), No. 8, August 2016, pp. 1626-1639.
IEEE DOI 1608
gesture recognition
See also Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition. BibRef

Kim, K.[Kisang], Choi, H.I.[Hyung-Il],
Online hand gesture recognition using enhanced $N recogniser based on a depth camera,
IJCVR(6), No. 3, 2016, pp. 214-222.
DOI Link 1608
BibRef

d'Orazio, T., Marani, R., Renò, V., Cicirelli, G.,
Recent trends in gesture recognition: How depth data has improved classical approaches,
IVC(52), No. 1, 2016, pp. 56-72.
Elsevier DOI 1609
Gesture recognition BibRef

Kim, J.[Joongrock], Yu, S.[Sunjin], Kim, D.C.[Dong-Chul], Toh, K.A.[Kar-Ann], Lee, S.Y.[Sang-Youn],
An adaptive local binary pattern for 3D hand tracking,
PR(61), No. 1, 2017, pp. 139-152.
Elsevier DOI 1609
3D hand tracking BibRef

Feng, B., He, F., Wang, X., Wu, Y., Wang, H., Yi, S., Liu, W.,
Depth-Projection-Map-Based Bag of Contour Fragments for Robust Hand Gesture Recognition,
HMS(47), No. 4, August 2017, pp. 511-523.
IEEE DOI 1708
Cameras, Data mining, Feature extraction, Gesture recognition, Image color analysis, Robustness, Shape, Bag of contour fragments (BCF), depth projection maps (DPM), hand gesture recognition BibRef

Fan, Q.[Qing], Shen, X.[Xukun], Hu, Y.[Yong],
Detail-preserved real-time hand motion regression from depth,
VC(34), No. 9, September 2018, pp. 1145-1154.
WWW Link. 1809
BibRef

Fan, Q.[Qing], Shen, X.[Xukun], Hu, Y.[Yong], Yu, C.J.[Chang-Jian],
Simple very deep convolutional network for robust hand pose regression from a single depth image,
PRL(119), 2019, pp. 205-213.
Elsevier DOI 1902
Hand pose estimation, Deep convolutional network, Batch normalization, Low-dimensional embedding, Depth image BibRef

Li, Y.N.[Yu-Nan], Miao, Q.G.[Qi-Guang], Tian, K.[Kuan], Fan, Y.Y.[Ying-Ying], Xu, X.[Xin], Li, R.[Rui], Song, J.F.[Jian-Feng],
Large-Scale Gesture Recognition With a Fusion of RGB-D Data Based on Saliency Theory and C3D Model,
CirSysVideo(28), No. 10, October 2018, pp. 2956-2964.
IEEE DOI 1811
BibRef
Earlier:
Large-scale gesture recognition with a fusion of RGB-D data based on the C3D model,
ICPR16(25-30)
IEEE DOI 1705
Feature extraction, Videos, Gesture recognition, Solid modeling, saliency theory. Databases, Feature extraction, Hidden Markov models, Solid modeling, Videos BibRef

Li, Y.N.[Yu-Nan], Miao, Q.G.[Qi-Guang], Qi, X.D.[Xiang-Da], Ma, Z.X.[Zhen-Xin], Ouyang, W.L.[Wan-Li],
A spatiotemporal attention-based ResC3D model for large-scale gesture recognition,
MVA(30), No. 5, July 2019, pp. 875-888.
Springer DOI 1907
BibRef

Li, Y.N.[Yu-Nan], Miao, Q.G.[Qi-Guang], Tian, K.[Kuan], Fan, Y.Y.[Ying-Ying], Xu, X.[Xin], Ma, Z.X.[Zhen-Xin], Song, J.F.[Jian-Feng],
Large-scale gesture recognition with a fusion of RGB-D data based on optical flow and the C3D model,
PRL(119), 2019, pp. 187-194.
Elsevier DOI 1902
Gesture recognition, RGB-D data, Optical flow, 3D Convolutional Neural Networks BibRef

Madadi, M.[Meysam], Escalera, S.[Sergio], Carruesco, A.[Alex], Andujar, C.[Carlos], Baró, X.[Xavier], Gonzàlez, J.[Jordi],
Top-down model fitting for hand pose recovery in sequences of depth images,
IVC(79), 2018, pp. 63-75.
Elsevier DOI 1811
Hand pose recovery, Shape description, Depth image, Hand segmentation, Temporal modeling BibRef

Zhang, L., Zhang, S., Jiang, F., Qi, Y., Zhang, J., Guo, Y., Zhou, H.,
BoMW: Bag of Manifold Words for One-Shot Learning Gesture Recognition From Kinect,
CirSysVideo(28), No. 10, October 2018, pp. 2562-2573.
IEEE DOI 1811
Gesture recognition, Feature extraction, Manifolds, Encoding, Hidden Markov models, Shape, kernel sparse coding BibRef

Raheja, J.L.[Jagdish Lal], Chandra, M.[Mona], Chaudhary, A.[Ankit],
3D gesture based real-time object selection and recognition,
PRL(115), 2018, pp. 14-19.
Elsevier DOI 1812
Pointed object, Kinect sensor, Skeleton tracking, Pointing gesture recognition, Object extraction BibRef

Chen, L.F.[Long-Fei], Nakamura, Y.C.[Yui-Chi], Kondo, K.[Kazuaki], Mayol-Cuevas, W.[Walterio],
Hotspot Modeling of Hand-Machine Interaction Experiences from a Head-Mounted RGB-D Camera,
IEICE(E102-D), No. 2, February 2019, pp. 319-330.
WWW Link. 1902
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Kane, L.[Lalit], Khanna, P.[Pritee],
Depth matrix and adaptive Bayes classifier based dynamic hand gesture recognition,
PRL(120), 2019, pp. 24-30.
Elsevier DOI 1904
Human-computer interaction, Dynamic gesture recognition, Shape matrix, Bayes classifier BibRef

Gangrade, J.[Jayesh], Bharti, J.[Jyoti],
Real time vision-based hand gesture recognition using depth sensor and a stochastic context free grammar,
IJCVR(9), No. 3, 2019, pp. 260-271.
DOI Link 1906
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Azad, R., Asadi-Aghbolaghi, M., Kasaei, S., Escalera, S.,
Dynamic 3D Hand Gesture Recognition by Learning Weighted Depth Motion Maps,
CirSysVideo(29), No. 6, June 2019, pp. 1729-1740.
IEEE DOI 1906
Feature extraction, Gesture recognition, Skeleton, VLAD encoding BibRef

Moñivar, P.V.[Pablo Vicente], Manitsaris, S.[Sotiris], Glushkova, A.[Alina],
Towards a Professional Gesture Recognition with RGB-D from Smartphone,
CVS19(234-244).
Springer DOI 1912
BibRef

Wang, Z.[Zhu], Yu, Z.W.[Zhi-Wen], Lou, X.Y.[Xin-Ye], Guo, B.[Bin], Chen, L.M.[Li-Ming],
Gesture-Radar: A Dual Doppler Radar Based System for Robust Recognition and Quantitative Profiling of Human Gestures,
HMS(51), No. 1, February 2021, pp. 32-43.
IEEE DOI 2101
Radar, Doppler radar, Sensors, Gesture recognition, Wireless fidelity, Doppler shift, Sensor systems, Doppler radar, wireless sensing BibRef

Yu, Z.W.[Zhi-Wen], Zhang, D.[Dong], Wang, Z.[Zhu], Han, Q.[Qi], Guo, B.[Bin], Wang, Q.[Qi],
SoDar: Multitarget Gesture Recognition Based on SIMO Doppler Radar,
HMS(52), No. 2, April 2022, pp. 276-289.
IEEE DOI 2203
Doppler radar, Sensors, Gesture recognition, Feature extraction, Acoustic imaging, Target recognition, Receiving antennas, wireless sensing BibRef

Ahmed, S.[Shahzad], Kallu, K.D.[Karam Dad], Ahmed, S.[Sarfaraz], Cho, S.H.[Sung Ho],
Hand Gestures Recognition Using Radar Sensors for Human-Computer-Interaction: A Review,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
Survey, Gestures. BibRef

Sun, Y.[Ying], Weng, Y.Q.[Yao-Qing], Luo, B.[Bowen], Li, G.F.[Gong-Fa], Tao, B.[Bo], Jiang, D.[Du], Chen, D.[Disi],
Gesture recognition algorithm based on multi-scale feature fusion in RGB-D images,
IET-IPR(17), No. 4, 2023, pp. 1280-1290.
DOI Link 2303
BibRef
And: See Important History of paper for dating reference: IET-IPR(17), No. 1, January 2023, pp. 301.
DOI Link 2301
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And: IET-IPR(14), No. 15, 15 December 2020, pp. 3662-3668.
DOI Link 2103
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Huang, Y.[Yao], Yang, J.Y.[Jian-Yu],
A multi-scale descriptor for real time RGB-D hand gesture recognition,
PRL(144), 2021, pp. 97-104.
Elsevier DOI 2103
Multi-scale descriptor, Hand gesture recognition, Human-computer interaction, RGB-D BibRef

Xu, H.[Haonan], Lyu, F.[Fei], Huang, J.[Jin], Tu, H.[Huawei],
Applying Sonification to Sketching in the Air With Mobile AR Devices,
HMS(52), No. 6, December 2022, pp. 1352-1363.
IEEE DOI 2212
Graphics, Mobile handsets, Task analysis, Visualization, Augmented reality, Man-machine systems, Augmented reality (AR), sonification BibRef

Gao, Q.[Qing], Ju, Z.J.[Zhao-Jie], Chen, Y.Q.[Yong-Quan], Wang, Q.W.[Qi-Wen], Chi, C.L.[Chu-Liang],
An Efficient RGB-D Hand Gesture Detection Framework for Dexterous Robot Hand-Arm Teleoperation System,
HMS(53), No. 1, February 2023, pp. 13-23.
IEEE DOI 2301
Robots, Location awareness, Visualization, Robot kinematics, Interference, Robot vision systems, Data integration, teleoperation BibRef

Balaji, P.[Pranav], Prusty, M.R.[Manas Ranjan],
Multimodal fusion hierarchical self-attention network for dynamic hand gesture recognition,
JVCIR(98), 2024, pp. 104019.
Elsevier DOI 2402
Dynamic hand gesture recognition, Multimodal fusion, Cross-attention, Transformer, SHREC'17 track dataset BibRef


Li, Y.[Yunan], Chen, H.Z.[Hui-Zhou], Feng, G.W.[Guan-Wen], Miao, Q.G.[Qi-Guang],
Learning Robust Representations with Information Bottleneck and Memory Network for RGB-D-based Gesture Recognition,
ICCV23(20911-20921)
IEEE DOI Code:
WWW Link. 2401
BibRef

Dhingra, N., Kunz, A.,
Res3ATN: Deep 3D Residual Attention Network for Hand Gesture Recognition in Videos,
3DV19(491-501)
IEEE DOI 1806
Videos, Gesture recognition, Convolution, Streaming media, Video Classification BibRef

Lai, K., Yanushkevich, S.N.,
CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition,
ICPR18(3451-3456)
IEEE DOI 1812
Skeleton, Gesture recognition, Feature extraction, Sensors, Recurrent neural networks, Data mining, Task analysis, Biometrics, recurrent neural networks BibRef

Li, M., Sun, L., Huo, Q.,
DFF-DEN: Deep Feature Flow with Detail Enhancement Network for Hand Segmentation in Depth Video,
ICIP18(1548-1552)
IEEE DOI 1809
Image segmentation, Training, Runtime, Motion segmentation, Robustness, Graphics processing units, Kernel, detail enhancement BibRef

Li, B., Li, W., Tang, Y., Hu, J., Zheng, W.,
GL-PAM RGB-D Gesture Recognition,
ICIP18(3109-3113)
IEEE DOI 1809
Feature extraction, Gesture recognition, Skeleton, Data mining, Elbow, Robustness, Dynamics, RGB-D gestures recognition, global-local features BibRef

Kazakos, E., Nikou, C., Kakadiaris, I.A.,
On the Fusion of RGB and Depth Information for Hand Pose Estimation,
ICIP18(868-872)
IEEE DOI 1809
Streaming media, Pose estimation, Training, Convolutional codes, Computer architecture, Kernel, deep learning BibRef

Guleryuz, O.G., Kaeser-Chen, C.,
Fast Lifting for 3D Hand Pose Estimation in AR/VR Applications,
ICIP18(106-110)
IEEE DOI 1809
Thumb, Skeleton, Indexes, Estimation, Cameras, Augmented-reality, monocular estimation BibRef

Feng, R., Perez, C., Zhang, H.,
Towards Transferring Grasping from Human to Robot with RGBD Hand Detection,
CRV17(285-291)
IEEE DOI 1804
feature extraction, gesture recognition, human-robot interaction, image classification, image colour analysis, image segmentation, Robot grasping BibRef

Wei, Y., Wang, G., Zhang, C., Guo, H., Chen, X., Yang, H.,
Two-stream binocular network: Accurate near field finger detection based on binocular images,
VCIP17(1-4)
IEEE DOI 1804
feature extraction, human computer interaction, object detection, object tracking, pose estimation, stereo image processing, Two-Stream BibRef

Wang, Y., Jung, C.,
Interaction-free hand segmentation using kinect camera,
ICIP17(4593-4593)
IEEE DOI 1803
Assistive technology, Biomedical imaging, Cameras, Gesture recognition, Human computer interaction, Merging BibRef

Feng, L.Q.[Li-Qian], Bi, S.[Sheng], Dong, M.[Min], Liu, Y.[Yunda],
A Gesture Recognition Method Based on Binocular Vision System,
CVS17(257-267).
Springer DOI 1711
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Paul, S.[Soumi], Nasser, H.[Hayat], Nasipuri, M.[Mita], Ngo, P.[Phuc], Basu, S.[Subhadip], Debled-Rennesson, I.[Isabelle],
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Feature extraction, Geometry, Image resolution, Robustness, Strain, Visualization, Depth, Scale BibRef

Li, M.L.[Ming-Lei], Sun, L.[Lei], Huo, Q.A.[Qi-Ang],
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Feature extraction, History, Optimization, Pose estimation, Recurrent neural networks, Visualization BibRef

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ICPR16(19-24)
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Feature extraction, Gesture recognition, Jitter, Kernel, Spatiotemporal phenomena, 3D convolutional networks, gesture recognition, pyramid, temporal, jitter BibRef

Lai, Z.Y.[Zhong-Yuan], Yao, Z.J.[Zhi-Jun], Wang, C.[Chun], Liang, H.[Hui], Chen, H.M.[Hong-Mei], Xia, W.[Wu],
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VCIP16(1-4)
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ICIP16(4413-4417)
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Hands17(614-622)
IEEE DOI 1802
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Earlier: A1, A4, A2, A3:
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WSSIP16(1-4)
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Hands15(1-7)
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Kernel BibRef

Makris, A.[Alexandros], Kyriazis, N.[Nikolaos], Argyros, A.A.[Antonis A.],
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Hands15(8-17)
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Bayes methods BibRef

Collumeau, J.F., Leconge, R., Emile, B., Dennemont, Y., Bouyer, G., Otmane, S., Mallem, M.,
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computer games BibRef

Lin, H.Y.[Hsueh-Yi], Huang, P.K.[Po-Kuan], Lin, T.Y.[Tung-Yang], Chang, T.T.[Ting-Ting], Wu, C.H.[Chi-Hao], Hsiao, C.C.[Chin-Chun], Liao, C.K.[Chao-Kang],
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feature extraction BibRef

Cirujeda, P.[Pol], Binefa, X.[Xavier],
4DCov: A Nested Covariance Descriptor of Spatio-Temporal Features for Gesture Recognition in Depth Sequences,
3DV14(657-664)
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Accuracy BibRef

Marin, G.[Giulio], Dominio, F.[Fabio], Zanuttigh, P.[Pietro],
Hand gesture recognition with leap motion and kinect devices,
ICIP14(1565-1569)
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Pavlakos, G.[Georgios], Theodorakis, S.[Stavros], Pitsikalis, V.[Vassilis], Katsamanis, A.[Athanasios], Maragos, P.[Petros],
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ICIP14(1495-1499)
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Kumar, H.[Himanshu], Ptucha, R.[Raymond],
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ICIP15(2364-2368)
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HMM; active body parts; active difference signature; gesture recognition BibRef

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Grassmannian Representation of Motion Depth for 3D Human Gesture and Action Recognition,
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Using Appearance-Based Hand Features for Dynamic RGB-D Gesture Recognition,
ICPR14(411-416)
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Designing effective travel techniques with bare-hand interaction,
3DUI14(139-140)
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3DUI14(153-154)
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interactive systems BibRef

Morgan, T.B., Jarrell, D., Vance, J.M.,
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3DUI14(163-164)
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graphical user interfaces BibRef

Oliveira, V.A.D.J., Maciel, A.,
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Teather, R.J.[Robert J.], Stuerzlinger, W.[Wolfgang],
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Oikonomidis, I.[Iasonas], Kyriazis, N.[Nikolaos], Argyros, A.A.[Antonis A.],
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Mo, Z.Y.[Zhen-Yao], Neumann, U.[Ulrich],
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Lexical Gesture Interface,
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Lee, Y.L.[Yun-Li], Kyoung, D.W.[Dong-Wuk], Jung, K.C.[Kee-Chul],
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Liu, X.[Xia], Fujimura, K.,
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Malassiotis, S., Aifanti, N., Strintzis, M.G.,
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3DPVT02(190-193).
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Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Gesture Recognition Systems with Static Imaage, Single Image .


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