HandNet Hand Images,
2015
Dataset, Gestures.
WWW Link.
1509
More than 214971 images of 10 different particpants' hands captured by
a RealSense RGBD sensor performing random articulations.
Annotations include: per pixel classes, 6D fingertip pose,
heatmap. Recorded at GIP Lab, Technion.
Aristotle University of Thessaloniki UAV Gesture Dataset,
2022
WWW Link.
Dataset, Gestures. Public video dataset for gesture recognition in human-UAV/drone interaction.
AUTH UAV Gesture Dataset consists of 4930 videos (resolution: 1920 x
1080), distributed along 6 classes, at 30 frames per second. Both
indoors and outdoors settings are included, while 58 different human
subjects have been employed for filming the sequences.
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9708
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AIPU02(349-366)
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0905
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IEEE DOI
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9900
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MMC98(xx-yy).
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ICPR98(Vol I: 86-91).
IEEE DOI
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Yang, M.H.[Ming-Hsuan],
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Face Detection.
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CVPR99(I: 466-472).
IEEE DOI
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9900
Yang, M.H.[Ming-Hsuan],
Ahuja, N.,
Extracting Gestural Motion Trajectories,
AFGR98(10-15).
IEEE DOI
BibRef
9800
Yang, M.H.[Ming-Hsuan],
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Elsevier DOI
0405
BibRef
Earlier: A2, A1:
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Representation for Gesture Recognition,
GW03(152-163).
Springer DOI
0405
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Acharya, T.[Tinku],
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SMC-C(37), No. 3, May 2007, pp. 311-324.
IEEE DOI
0704
Survey, Gesture.
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Nicolescu, M.[Mircea],
Boyle, R.D.[Richard D.],
Twombly, X.[Xander],
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CVIU(108), No. 1-2, October-November 2007, pp. 52-73.
Elsevier DOI
0710
Survey, Hand Pose.
BibRef
Earlier:
A Review on Vision-Based Full DOF Hand Motion Estimation,
VHCI05(III: 75-75).
IEEE DOI
0507
Hand pose estimation; Gesture recognition; Gesture-based HCI
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Sebe, N.[Nicu],
Multimodal Human-Computer Interaction: A Survey,
CVIU(108), No. 1-2, October-November 2007, pp. 116-134.
Elsevier DOI
0710
BibRef
Earlier:
CVHCI05(1).
Springer DOI
0601
Multimodal human-computer interaction; Gesture recognition;
Affective computing; Human-centered computing
BibRef
Bethel, C.L.,
Murphy, R.R.,
Survey of Non-facial/Non-verbal Affective Expressions for
Appearance-Constrained Robots,
SMC-C(38), No. 1, January 2008, pp. 83-92.
IEEE DOI
0712
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Gunes, H.[Hatice],
Piccardi, M.[Massimo],
Automatic Temporal Segment Detection and Affect Recognition From Face
and Body Display,
SMC-B(39), No. 1, February 2009, pp. 64-84.
IEEE DOI
0902
BibRef
Earlier:
A Bimodal Face and Body Gesture Database for Automatic Analysis of
Human Nonverbal Affective Behavior,
ICPR06(I: 1148-1153).
IEEE DOI
0609
BibRef
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Intro to section.
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1003
Dataset, Gestures.
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IJCVR(1), No. 4, 2010, pp. 349-362.
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1208
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A Study of the Impact of Different Direction-of-Motion Stereotypes on
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SMC-A(42), No. 5, September 2012, pp. 1077-1087.
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1208
Compare controlled movement and the expected movement.
User interface with displays.
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Clark, M.H.[Micah H.],
Red-Pill Robots Only, Please,
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IEEE DOI
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Ethics and Affective Computing
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Robots, Love, and Sex: The Ethics of Building a Love Machine,
AffCom(3), No. 4 2012, pp. 398-409.
IEEE DOI
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Ethics and Affective Computing
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The Good Our Field Can Hope to Do, the Harm It Should Avoid,
AffCom(3), No. 4 2012, pp. 410-423.
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Ethics and Affective Computing
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The Affect Dilemma for Artificial Agents: Should We Develop Affective
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AffCom(3), No. 4 2012, pp. 424-433.
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Ethics and Affective Computing
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AffCom(3), No. 4 2012, pp. 434-442.
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1302
Ethics and Affective Computing
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Berman, S.,
Stern, H.,
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SMC-C(42), No. 3, May 2012, pp. 277-290.
IEEE DOI
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Savage, N.[Neil],
More than a Mouse,
CACM(56), No. 11, November 2013, pp. 15-16.
DOI Link
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Gesture and gaze are among the newest additions to a growing family of
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Seeing More Clearly,
CACM(59), No. 1, January 2016, pp. 20-22.
DOI Link
1601
BibRef
Bolton, M.L.,
Bass, E.J.,
Siminiceanu, R.I.,
Using Formal Verification to Evaluate Human-Automation Interaction:
A Review,
SMCS(43), No. 3, May 2013, pp. 488-503.
IEEE DOI
1305
Survey, HCI.
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Computer(46), No. 10, 2013, pp. 22-25.
IEEE DOI
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Technology News section.
computer vision
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Human Computer Interaction Using Hand Gestures,
Molina, J.[Javier],
Pajuelo, J.A.[José A.],
Escudero-Viñolo, M.[Marcos],
Bescós, J.[Jesús],
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Dataset, Hand Gestures.
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MVA(25), No. 8, November 2014, pp. 1929-1951.
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1411
Dataset, Gesture.
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Guyon, I.[Isabelle],
Athitsos, V.[Vassilis],
Jangyodsuk, P.[Pat],
Hamner, B.[Ben],
Escalante, H.J.[Hugo Jair],
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Gesture12(1-6).
IEEE DOI
1207
BibRef
Guyon, I.[Isabelle],
Athitsos, V.[Vassilis],
Demonstrations and live evaluation for the gesture recognition
challenge,
HCI11(461-462).
IEEE DOI
1201
BibRef
Turk, M.[Matthew],
Multimodal interaction: A review,
PRL(36), No. 1, 2014, pp. 189-195.
Elsevier DOI
1312
Survey, Interaction. Multimodal interaction
BibRef
Ruffieux, S.[Simon],
Lalanne, D.[Denis],
Mugellini, E.[Elena],
Khaled, O.A.[Omar Abou],
Gesture recognition corpora and tools:
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CVIU(131), No. 1, 2015, pp. 72-87.
Elsevier DOI
1412
Human-computer interaction
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Pisharady, P.K.[Pramod Kumar],
Saerbeck, M.[Martin],
Recent methods and databases in vision-based hand gesture
recognition: A review,
CVIU(141), No. 1, 2015, pp. 152-165.
Elsevier DOI
1512
Survey, Hand Gestures. Gesture recognition
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Velloso, E.[Eduardo],
Schmidt, D.[Dominik],
Alexander, J.[Jason],
Gellersen, H.[Hans],
Bulling, A.[Andreas],
The Feet in Human-Computer Interaction:
A Survey of Foot-Based Interaction,
Surveys(48), No. 2, November 2015, pp. Article No 21.
DOI Link
1512
Foot-operated computer interfaces have been studied since the inception
of human--computer interaction. Thanks to the miniaturisation and
decreasing cost of sensing technology, there is an increasing interest
exploring this alternative input modality.
BibRef
Simeone, A.L.,
Velloso, E.,
Alexander, J.,
Gellersen, H.,
Feet movement in desktop 3D interaction,
3DUI14(71-74)
IEEE DOI
1406
gesture recognition
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Coyte, J.L.,
Stirling, D.,
Du, H.,
Ros, M.,
Seated Whole-Body Vibration Analysis, Technologies, and Modeling:
A Survey,
SMCS(46), No. 6, June 2016, pp. 725-739.
IEEE DOI
1605
Acceleration. Not gestures, but motion analysis.
BibRef
Cheng, H.[Hong],
Yang, L.[Lu],
Liu, Z.C.[Zi-Cheng],
Survey on 3D Hand Gesture Recognition,
CirSysVideo(26), No. 9, September 2016, pp. 1659-1673.
IEEE DOI
1609
Survey, Hand Gestures. Assistive technology
BibRef
Sugiura, Y.,
Igarashi, T.,
Inami, M.,
Cuddly User Interfaces,
Computer(49), No. 7, July 2016, pp. 14-19.
IEEE DOI
1608
human computer interaction
BibRef
Shneiderman, B.,
Revisiting the Astonishing Growth of Human-Computer Interaction
Research,
Computer(50), No. 10, 2017, pp. 8-11.
IEEE DOI
1710
human computer interaction, computing field,
human-computer interaction research,
information technology field, From the Archives, HCI,
history of computing, human-computer, interaction
BibRef
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Ferland, F.[François],
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Elsevier DOI
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Human-robot interaction
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Li, R.[Rui],
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PR(93), 2019, pp. 251-272.
Elsevier DOI
1906
Survey, Hand Pose. Hand pose estimation, Hand tracking, Depth camera, Human-computer interaction
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Ahmad, A.[Ammar],
Migniot, C.[Cyrille],
Dipanda, A.[Albert],
Hand pose estimation and tracking in real and virtual interaction:
A review,
IVC(89), 2019, pp. 35-49.
Elsevier DOI
1909
Hand tracking, Real interaction, Virtual interaction,
Hand-object interdependencies
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Mahbub, U.[Upal],
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Advances in human action, activity and gesture recognition,
PRL(155), 2022, pp. 186-190.
Elsevier DOI
2203
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Wan, J.[Jun],
Lin, C.[Chi],
Wen, L.Y.[Long-Yin],
Li, Y.[Yunan],
Miao, Q.G.[Qi-Guang],
Escalera, S.[Sergio],
Anbarjafari, G.[Gholamreza],
Guyon, I.[Isabelle],
Guo, G.D.[Guo-Dong],
Li, S.Z.[Stan Z.],
ChaLearn Looking at People:
IsoGD and ConGD Large-Scale RGB-D Gesture Recognition,
Cyber(52), No. 5, May 2022, pp. 3422-3433.
IEEE DOI
2206
Gesture recognition, Measurement, Task analysis, Training,
Conferences, Bidirectional long short-term memory (Bi-LSTM), RGB-D
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Gao, K.[Kun],
Zhang, H.Y.[Hao-Yang],
Liu, X.L.[Xiao-Long],
Wang, X.[Xinyi],
Xie, L.[Liang],
Ji, B.[Bowen],
Yan, Y.[Ye],
Yin, E.[Erwei],
Challenges and solutions for vision-based hand gesture
interpretation: A review,
CVIU(248), 2024, pp. 104095.
Elsevier DOI
2409
Hand gesture interpretation, Hand pose estimation,
Human-computer interaction, Visual sensor
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Saund, C.[Carolyn],
Marsella, S.[Stacy],
The Importance of Qualitative Elements in Subjective Evaluation of
Semantic Gestures,
FG21(1-8)
IEEE DOI
2303
Correlation, Databases, Face recognition, Semantics,
Production, Gesture recognition
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Gera, D.[Darshan],
Balasubramanian, S.,
Noisy Annotations Robust Consensual Collaborative Affect Expression
Recognition,
ABAW21(3578-3585)
IEEE DOI
2112
Training, Deep learning, Annotations,
Face recognition, Collaboration
BibRef
Pouw, W.[Wim],
de Wit, J.[Jan],
Bögels, S.[Sara],
Rasenberg, M.[Marlou],
Milivojevic, B.[Branka],
Ozyurek, A.[Asli],
Semantically Related Gestures Move Alike:
Towards a Distributional Semantics of Gesture Kinematics,
DHM21(I:269-287).
Springer DOI
2108
BibRef
Benitez-Garcia, G.[Gibran],
Olivares-Mercado, J.[Jesus],
Sanchez-Perez, G.[Gabriel],
Yanai, K.[Keiji],
IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand
Gesture Recognition,
ICPR21(4340-4347)
IEEE DOI
2105
Semantics, Neural networks, Lighting, Gesture recognition,
Benchmark testing, Streaming media, Real-time systems
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Madapana, N.,
Gonzalez, G.,
Wachs, J.,
Gesture Agreement Assessment Using Description Vectors,
FG20(40-44)
IEEE DOI
2102
Proposals, Measurement, Shape, National Institutes of Health,
Indexes, Radiology, Particle measurements, gestures,
and gesture elicitation.
BibRef
Materzynska, J.,
Berger, G.,
Bax, I.,
Memisevic, R.,
The Jester Dataset: A Large-Scale Video Dataset of Human Gestures,
Hands19(2874-2882)
IEEE DOI
2004
Dataset, Gestures. convolutional neural nets, gesture recognition,
human computer interaction, video signal processing,
deep learning
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Girard, J.M.[Jeffrey M.],
Open-Source Software for Continuous Measurement and Media Annotation,
FG17(995-995)
IEEE DOI
1707
Current measurement, Media, Open source software,
Software measurement, Software packages
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Asadi-Aghbolaghi, M.[Maryam],
Clapés, A.[Albert],
Bellantonio, M.[Marco],
Escalante, H.J.[Hugo Jair],
Ponce-López, V.[Víctor],
Baró, X.[Xavier],
Guyon, I.[Isabelle],
Kasaei, S.[Shohreh],
Escalera, S.[Sergio],
A Survey on Deep Learning Based Approaches for Action and Gesture
Recognition in Image Sequences,
FG17(476-483)
IEEE DOI
1707
Data models, Gesture recognition, Hidden Markov models,
Machine learning, Solid modeling.
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Guo, R.[Rongkai],
Marner, M.[Michael],
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3DUIdol: 6th annual 3DUI contest,
3DUI15(197-197)
IEEE DOI
1511
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Panayi, M.[Marilyn],
What, Why, Where and How Do Children Think? Towards a Dynamic Model of
Spatial Cognition as Action,
GW11(93-105).
Springer DOI
1211
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Carmona, J.M.[Josep Maria],
Climent, J.[Joan],
A Performance Evaluation of HMM and DTW for Gesture Recognition,
CIARP12(236-243).
Springer DOI
1209
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Spiro, I.[Ian],
Taylor, G.W.[Graham W.],
Williams, G.[George],
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Hands by hand: Crowd-sourced motion tracking for gesture annotation,
ACVHL10(17-24).
IEEE DOI
1006
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Heloir, A.[Alexis], and
Kipp, M.[Michael],
Requirements for a Gesture Specification Language:
A Comparison of Two Representation Formalisms,
GW09(207-218).
Springer DOI
0902
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Özyürek, A.[Asli],
The Role of Iconic Gestures in Production and Comprehension of Language:
Evidence from Brain and Behavior,
GW09(1-10).
Springer DOI
0902
BibRef
Holler, J.[Judith],
Speakers' Use of Interactive Gestures as Markers of Common Ground,
GW09(11-22).
Springer DOI
0902
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Lew, M.S.[Michael S.],
Bakker, E.M.[Erwin M.],
Sebe, N.[Nicu],
Huang, T.S.[Thomas S.],
Human-Computer Intelligent Interaction: A Survey,
CVHCI07(1-5).
Springer DOI
0710
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Signer, B.,
Kurmann, U.,
Norrie, M.,
iGesture: A General Gesture Recognition Framework,
ICDAR07(954-958).
IEEE DOI
0709
BibRef
Lauria, S.[Stanislao],
Human Robot Interactions: Towards the Implementation of Adaptive
Strategies for Robust Communication,
BVAI07(555-565).
Springer DOI
0710
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Kim, B.[Beomjin],
Johnson, P.[Philip],
Baker, J.[Jason],
Empirical Evaluation of a Visual Interface for Exploring Message Boards,
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Pentland, A.P.[Alex P.],
A Computational Model of Social Signaling,
ICPR06(I: 1080-1083).
IEEE DOI
0609
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Hwang, B.W.[Bon-Woo],
Kim, S.[Sungmin],
Lee, S.W.[Seong-Whan],
A Full-Body Gesture Database for Automatic Gesture Recognition,
FGR06(243-248).
IEEE DOI
0604
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Bowden, R.[Richard],
Progress in Sign and Gesture Recognition,
AMDO04(13).
Springer DOI
0505
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Sebe, N.[Nicu],
Lew, M.S.[Michael S.],
Huang, T.S.[Thomas S.],
The State-of-the-Art in Human-Computer Interaction,
CVHCI04(1-6).
Springer DOI
0505
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Poggi, I.[Isabella],
Cirella, F.[Filomena],
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GW03(77-89).
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GW07(13-23).
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Gibet, S.[Sylvie],
Kamp, J.F.[Jean-François],
Poirier, F.[Franck],
Gesture Analysis: Invariant Laws in Movement,
GW03(1-9).
Springer DOI
0405
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Fagiani, C.,
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Evaluation of tracking methods for human-computer interaction,
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0303
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Beveridge, J.R.,
She, K.,
Draper, B.A.,
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A Nonparametric Statistical Comparison of Principal Component and
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West, G.A.W.,
Tassone, E.,
Assessing Different Features for Pose Refinement,
ICPR00(Vol III: 683-686).
IEEE DOI
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Compare edge, vertex and region centers.
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Wu, Y.[Ying],
Huang, T.S.[Thomas S.],
Vision-Based Gesture Recognition: A Review,
GW99(103).
Springer DOI
9903
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Panayi, M.[Marilyn],
Roy, D.[David],
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Stimulating Research into Gestural Human Machine Interaction,
GW99(317).
Springer DOI
9903
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Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Pointing Gestures, Pointing Systems .