22.4.2.1 Gesture, Overviews, Surveys, Evaluations

Chapter Contents (Back)
Survey, Gesture. Hand Gestures. Gesture.

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.

Bolt, R.A.,
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Daugman, J.G.,
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PAMI(19), No. 7, July 1997, pp. 675-676.
IEEE DOI 9708
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Pavlovic, V.I., Sharma, R., Huang, T.S.,
Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review,
PAMI(19), No. 7, July 1997, pp. 677-695.
IEEE DOI 9708
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Sharma, R., Pavlovic, V.I., Huang, T.S.,
Toward Multimodal Human-computer Interface,
AIPU02(349-366) (Reprint). 0905
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Segen, J.[Jakub], Kumar, S.[Senthil],
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CACM(43), No. 7, July 2000, pp. 102-109. Survey, Gesture. More a survey, but summarizes a lot of work. BibRef 0007

Segen, J.[Jakub], Kumar, S.[Senthil],
Shadow Gestures: 3D Hand Pose Estimation Using a Single Camera,
CVPR99(I: 479-485).
IEEE DOI BibRef 9900
Earlier:
GestureVR: Vision-Based 3D Hand Interface for Spatial Interaction,
MMC98(xx-yy). BibRef
And:
Fast and Accurate 3D Gesture Recognition Interface,
ICPR98(Vol I: 86-91).
IEEE DOI 9808
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Ahuja, N.[Narendra], Yang, M.H.[Ming-Hsuan],
Face Detection and Gesture Recognition for Human-Computer Interaction,
KluwerBoston, 2001. ISBN 0-7923-7409-6
WWW Link. Face Detection. Color. Detecting faces, hand gestures using motion, skin color models, density models, learning. Buy this book: Face Detection And Gesture Recognition For Human-computer Interaction (The International Series in Video Computing) BibRef 0100

Yang, M.H.[Ming-Hsuan], Ahuja, N.[Narendra], Tabb, M.[Mark],
Extraction of 2D Motion Trajectories and Its Application to Hand Gesture Recognition,
PAMI(24), No. 8, August 2002, pp. 1061-1074.
IEEE Abstract. 0208
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Yang, M.H.[Ming-Hsuan], Ahuja, N.[Narendra],
Recognizing Hand Gestures Using Motion Trajectories,
CVPR99(I: 466-472).
IEEE DOI BibRef 9900

Yang, M.H.[Ming-Hsuan], Ahuja, N.,
Extracting Gestural Motion Trajectories,
AFGR98(10-15).
IEEE DOI BibRef 9800

Yang, M.H.[Ming-Hsuan], Ahuja, N.[Narendra],
Extraction and Classification of Visual Motion Patterns for Hand Gesture Recognition,
CVPR98(892-897).
IEEE DOI BibRef 9800

Turk, M.A.[Matthew A.], Kölsch, M.[Mathias],
Perceptual Interfaces,
ETCV04(Chapter 10). Survey, HCI. BibRef 0400

Murtagh, F., Taskaya, T., Contreras, P., Mothe, J., Englmeier, K.,
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AIR(19), No. 4, June 2003, pp. 263-283.
WWW Link. 1208
Survey, GUI. BibRef

McKenna, S.J.[Stephen J.], Morrison, K.[Kenny],
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PR(37), No. 5, May 2004, pp. 999-1009.
Elsevier DOI 0405
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Earlier: A2, A1:
An Experimental Comparison of Trajectory-Based and History-Based Representation for Gesture Recognition,
GW03(152-163).
Springer DOI 0405
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Mitra, S.[Sushmita], Acharya, T.[Tinku],
Gesture Recognition: A Survey,
SMC-C(37), No. 3, May 2007, pp. 311-324.
IEEE DOI 0704
Survey, Gesture. BibRef

Erol, A.[Ali], Bebis, G.N.[George N.], Nicolescu, M.[Mircea], Boyle, R.D.[Richard D.], Twombly, X.[Xander],
Vision-based hand pose estimation: A review,
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 BibRef

Jaimes, A.[Alejandro], 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
BibRef

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

Wang, L.[Liang], Wu, Q.A.[Qi-Ang], Wang, H.Z.[Han-Zi], Geng, X.[Xin], Li, M.[Ming],
Image/video-based pattern analysis and HCI applications,
PRL(30), No. 12, 1 September 2009, pp. 1047.
Elsevier DOI 0909
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Fanelli, G., Gall, J., Romsdorfer, H., Weise, T., Van Gool, L.J.,
A 3-D Audio-Visual Corpus of Affective Communication,
MultMed(12), No. 6, 2010, pp. 591-598.
IEEE DOI 1003
Dataset, Gestures. BibRef

Doriya, R.[Rajesh], Prasad, J.S.[Jay Shankar], Nandi, G.C.,
Efficacy of gesture for communication among humanoid robots by fuzzy inference method,
IJCVR(1), No. 4, 2010, pp. 349-362.
DOI Link 1102
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Zhou, Z., Bhiri, S., Zhuge, H., Gaaloul, W.,
Assessment of Service Protocol Adaptability Based on Novel Walk Computation,
SMC-A(42), No. 5, September 2012, pp. 1109-1140.
IEEE DOI 1208
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Wong, T.C., Chan, A.H.S.,
A Study of the Impact of Different Direction-of-Motion Stereotypes on Response Time and Response Accuracy Using Neural Network,
SMC-A(42), No. 5, September 2012, pp. 1077-1087.
IEEE DOI 1208
Compare controlled movement and the expected movement. User interface with displays. BibRef

Bringsjord, S.[Selmer], Clark, M.H.[Micah H.],
Red-Pill Robots Only, Please,
AffCom(3), No. 4 2012, pp. 394-397.
IEEE DOI 1302
Ethics and Affective Computing BibRef

Sullins, J.P.[John P.],
Robots, Love, and Sex: The Ethics of Building a Love Machine,
AffCom(3), No. 4 2012, pp. 398-409.
IEEE DOI 1302
Ethics and Affective Computing BibRef

Cowie, R.[Roddy],
The Good Our Field Can Hope to Do, the Harm It Should Avoid,
AffCom(3), No. 4 2012, pp. 410-423.
IEEE DOI 1302
Ethics and Affective Computing BibRef

Scheutz, M.[Matthias],
The Affect Dilemma for Artificial Agents: Should We Develop Affective Artificial Agents?,
AffCom(3), No. 4 2012, pp. 424-433.
IEEE DOI 1302
Ethics and Affective Computing BibRef

Guarini, M.[Marcello],
Conative Dimensions of Machine Ethics: A Defense of Duty,
AffCom(3), No. 4 2012, pp. 434-442.
IEEE DOI 1302
Ethics and Affective Computing BibRef

Berman, S., Stern, H.,
Sensors for Gesture Recognition Systems,
SMC-C(42), No. 3, May 2012, pp. 277-290.
IEEE DOI 1204
BibRef

Savage, N.[Neil],
More than a Mouse,
CACM(56), No. 11, November 2013, pp. 15-16.
DOI Link 1311
Gesture and gaze are among the newest additions to a growing family of computer interfaces. BibRef

Savage, N.[Neil],
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. BibRef

Garber, L.,
Gestural Technology: Moving Interfaces in a New Direction,
Computer(46), No. 10, 2013, pp. 22-25.
IEEE DOI 1312
Technology News section. computer vision BibRef

Premaratne, P.[Prashan],
Human Computer Interaction Using Hand Gestures,

Springer2014. ISBN 978-981-4585-68-2
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Molina, J.[Javier], Pajuelo, J.A.[José A.], Escudero-Viñolo, M.[Marcos], Bescós, J.[Jesús], Martínez, J.M.[José M.],
A natural and synthetic corpus for benchmarking of hand gesture recognition systems,
MVA(25), No. 4, May 2014, pp. 943-954.
Springer DOI 1404
Dataset, Hand Gestures. BibRef

Guyon, I.[Isabelle], Athitsos, V.[Vassilis], Jangyodsuk, P.[Pat], Escalante, H.J.[Hugo Jair],
The ChaLearn gesture dataset (CGD 2011),
MVA(25), No. 8, November 2014, pp. 1929-1951.
Springer DOI 1411
Dataset, Gesture. BibRef

Guyon, I.[Isabelle], Athitsos, V.[Vassilis], Jangyodsuk, P.[Pat], Hamner, B.[Ben], Escalante, H.J.[Hugo Jair],
ChaLearn gesture challenge: Design and first results,
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: A scripted ground truthing method,
CVIU(131), No. 1, 2015, pp. 72-87.
Elsevier DOI 1412
Human-computer interaction BibRef

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 BibRef

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 BibRef

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

Rossi, S.[Silvia], Ferland, F.[François], Tapus, A.[Adriana],
User profiling and behavioral adaptation for HRI: A survey,
PRL(99), No. 1, 2017, pp. 3-12.
Elsevier DOI 1710
Human-robot interaction BibRef

Li, R.[Rui], Liu, Z.Y.[Zhen-Yu], Tan, J.R.[Jian-Rong],
A survey on 3D hand pose estimation: Cameras, methods, and datasets,
PR(93), 2019, pp. 251-272.
Elsevier DOI 1906
Survey, Hand Pose. Hand pose estimation, Hand tracking, Depth camera, Human-computer interaction BibRef

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 BibRef

Mahbub, U.[Upal], Ahad, M.A.R.[Md Atiqur Rahman],
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 BibRef

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 BibRef


Alexander, K.[Kapitanov], Karina, K.[Kvanchiani], Alexander, N.[Nagaev], Roman, K.[Kraynov], Andrei, M.[Makhliarchuk],
HaGRID: HAnd Gesture Recognition Image Dataset,
WACV24(4560-4569)
IEEE DOI 2404
Training, Meters, Crowdsourcing, Computational modeling, Lighting, Gesture recognition, Algorithms, Datasets and evaluations, Image recognition and understanding BibRef

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 BibRef

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
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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 BibRef

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 BibRef

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 BibRef

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. BibRef

Guo, R.[Rongkai], Marner, M.[Michael], Weyers, B.[Benjamin],
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], Bregler, C.[Christoph],
Hands by hand: Crowd-sourced motion tracking for gesture annotation,
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Heloir, A.[Alexis], and Kipp, M.[Michael],
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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
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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
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Lauria, S.[Stanislao],
Human Robot Interactions: Towards the Implementation of Adaptive Strategies for Robust Communication,
BVAI07(555-565).
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Kim, B.[Beomjin], Johnson, P.[Philip], Baker, J.[Jason],
Empirical Evaluation of a Visual Interface for Exploring Message Boards,
ISVC06(I: 293-302).
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Pentland, A.P.[Alex P.],
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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], Zollo, A.[Antonietta], Agostini, A.[Alessia],
The Communicative System of Touch. Alphabet, Lexicon, and Norms of Use,
GW03(77-89).
Springer DOI 0405
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Gibet, S.[Sylvie], Marteau, P.F.[Pierre-François],
Approximation of Curvature and Velocity for Gesture Segmentation and Synthesis,
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., Betke, M., Gips, J.,
Evaluation of tracking methods for human-computer interaction,
WACV02(121-126).
IEEE DOI 0303
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Beveridge, J.R., She, K., Draper, B.A., Givens, G.H.,
A Nonparametric Statistical Comparison of Principal Component and Linear Discriminant Subspaces for Face Recognition,
CVPR01(I:535-542).
IEEE DOI 0110
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West, G.A.W., Tassone, E.,
Assessing Different Features for Pose Refinement,
ICPR00(Vol III: 683-686).
IEEE DOI 0009
Compare edge, vertex and region centers. BibRef

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], Richardson, J.[James],
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 .


Last update:Nov 26, 2024 at 16:40:19