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
BibRef
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
BibRef
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.
DOI Link
0512
BibRef
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.
DOI Link
1601
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
BibRef
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
BibRef
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
BibRef
And:
IET-IPR(14), No. 15, 15 December 2020, pp. 3662-3668.
DOI Link
2103
BibRef
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
Shi, Y.H.[Yu-Hang],
Qiao, L.H.[Li-Hong],
Shu, Y.C.[Yu-Cheng],
Li, B.[Baobin],
Xiao, B.[Bin],
Li, W.S.[Wei-Sheng],
Gao, X.B.[Xin-Bo],
Semi-Supervised FMCW Radar Hand Gesture Recognition via Pseudo-Label
Consistency Learning,
RS(16), No. 13, 2024, pp. 2267.
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Training, Convolutional codes, Computer architecture, Kernel,
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feature extraction, human computer interaction, object detection,
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Image color analysis, Image segmentation, Merging, Proposals,
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Neumann, U.[Ulrich],
Real-time Hand Pose Recognition Using Low-Resolution Depth Images,
CVPR06(II: 1499-1505).
IEEE DOI
0606
BibRef
And:
Lexical Gesture Interface,
CVS06(7).
IEEE DOI
0602
BibRef
Lee, Y.L.[Yun-Li],
Kyoung, D.W.[Dong-Wuk],
Jung, K.C.[Kee-Chul],
Meshless Parameterization for Dimensional Reduction Integrated in 3D
Voxel Reconstruction Using a Single PC,
PSIVT07(321-333).
Springer DOI
0712
BibRef
Lee, Y.L.[Yun-Li],
Kyoung, D.W.[Dong-Wuk],
Han, E.[Eunjung],
Jung, K.C.[Kee-Chul],
Dimension Reduction in 3D Gesture Recognition Using Meshless
Parameterization,
PSIVT06(64-73).
Springer DOI
0612
BibRef
Lee, Y.L.[Yun-Li],
Jung, K.C.[Kee-Chul],
3D Posture Representation Using Meshless Parameterization with
Cylindrical Virtual Boundary,
PSIVT07(449-461).
Springer DOI
0712
BibRef
Liu, X.[Xia],
Fujimura, K.,
Hand gesture recognition using depth data,
AFGR04(529-534).
IEEE DOI
0411
BibRef
Malassiotis, S.,
Aifanti, N.,
Strintzis, M.G.,
A gesture recognition system using 3D data,
3DPVT02(190-193).
IEEE DOI
0206
See also Robust real-time 3D head pose estimation from range data.
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Gesture Recognition Systems with Static Imaage, Single Image .