21.4.2.6.2 Gesture Systems, Robot Interaction

Quintas, J., Menezes, P., Dias, J.,
Information Model and Architecture Specification for Context Awareness Interaction Decision Support in Cyber-Physical Human-Machine Systems,
HMS(47), No. 3, June 2017, pp. 323-331.
IEEE DOI 1706
Adaptation models, Ambient assisted living, Computer architecture, Context, Context modeling, Context-aware services, Robots, Active and assisted living, adaptive systems, context awareness, decision systems, human-machine systems, human-system, interaction architecture BibRef

Cho, H.K.[Hye-Kyung], Oh, J.[Junseok], Lee, K.[Kyung_Ok],
A study on the potential roles of a robot peer in socio-emotional development of children,
IJCVR(7), No. 3, 2017, pp. 335-343.
DOI Link 1704
BibRef

Lemaignan, S.[Séverin], Warnier, M.[Mathieu], Sisbot, E.A.[E. Akin], Clodic, A.[Aurélie], Alami, R.[Rachid],
Artificial cognition for social human-robot interaction: An implementation,
AI(247), No. 1, 2017, pp. 45-69.
Elsevier DOI 1705
Human-robot, interaction BibRef

Senft, E.[Emmanuel], Baxter, P.[Paul], Kennedy, J.[James], Lemaignan, S.[Séverin], Belpaeme, T.[Tony],
Supervised autonomy for online learning in human-robot interaction,
PRL(99), No. 1, 2017, pp. 77-86.
Elsevier DOI 1710
Human-Robot, interaction BibRef

Jevtic, A.[Aleksandar], Colomé, A.[Adrià], Alenyà, G.[Guillem], Torras, C.[Carme],
Robot motion adaptation through user intervention and reinforcement learning,
PRL(105), 2018, pp. 67-75.
Elsevier DOI 1804
Learning and adaptive systems, Robotics, Motion learning, Human-Robot interaction BibRef

Zhang, J.Z.[Ju-Zheng], Zheng, J.M.[Jian-Min], Thalmann, N.M.[Nadia Magnenat],
MCAEM: mixed-correlation analysis-based episodic memory for companion-user interactions,
VC(34), No. 6-8, June 2018, pp. 1129-1141.
Springer DOI 1806
Companion-human interaction, aiming at improving user experience of interactions. BibRef

Paperno, N., Rupp, M.A., Parkhurst, E.L., Maboudou-Tchao, E.M., Smither, J.A., Bricout, J., Behal, A.,
Age and Gender Differences in Performance for Operating a Robotic Manipulator,
HMS(49), No. 2, April 2019, pp. 137-149.
IEEE DOI 1903
Task analysis, Manipulators, Human factors, Graphical user interfaces, Navigation, Robot sensing systems, machine learning BibRef

Quintas, J., Martins, G.S., Santos, L., Menezes, P., Dias, J.,
Toward a Context-Aware Human-Robot Interaction Framework Based on Cognitive Development,
SMCS(49), No. 1, January 2019, pp. 227-237.
IEEE DOI 1901
Biological system modeling, Robots, Adaptation models, Context modeling, Task analysis, Planning, Decision making, interaction design BibRef

Martins, G.S.[Gonçalo S.], Al Tair, H.[Hend], Santos, L.[Luís], Dias, J.[Jorge],
aPOMDP: POMDP-based user-adaptive decision-making for social robots,
PRL(118), 2019, pp. 94-103.
Elsevier DOI 1902
Social robots, POMDPs, Automated planning, Decision making, Machine learning BibRef

Fuse, Y.[Yotaro], Takenouchi, H.[Hiroshi], Tokumaru, M.[Masataka],
A Robot Model That Obeys a Norm of a Human Group by Participating in the Group and Interacting with Its Members,
IEICE(E102-D), No. 1, January 2019, pp. 185-194.
WWW Link. 1901
BibRef

Wang, W., Li, R., Diekel, Z.M., Chen, Y., Zhang, Z., Jia, Y.,
Controlling Object Hand-Over in Human-Robot Collaboration Via Natural Wearable Sensing,
HMS(49), No. 1, February 2019, pp. 59-71.
IEEE DOI 1901
Robot sensing systems, Task analysis, Robot kinematics, Collaboration, Electromyography, Hand-over control, object attribute recognition BibRef

Amirshirzad, N., Kumru, A., Oztop, E.,
Human Adaptation to Human-Robot Shared Control,
HMS(49), No. 2, April 2019, pp. 126-136.
IEEE DOI 1903
Task analysis, Robot sensing systems, Robot kinematics, Manipulators, Control systems, Collaboration, shared control BibRef

Hoffman, G.,
Evaluating Fluency in Human-Robot Collaboration,
HMS(49), No. 3, June 2019, pp. 209-218.
IEEE DOI 1906
Measurement, Robot kinematics, Robot sensing systems, Task analysis, Teamwork, Artificial intelligence, user interfaces BibRef

Doering, M., Glas, D.F., Ishiguro, H.,
Modeling Interaction Structure for Robot Imitation Learning of Human Social Behavior,
HMS(49), No. 3, June 2019, pp. 219-231.
IEEE DOI 1906
Robot sensing systems, Hidden Markov models, Data collection, Unsupervised learning, Training, Man-machine systems, unsupervised learning BibRef

Inbar, O., Meyer, J.,
Politeness Counts: Perceptions of Peacekeeping Robots,
HMS(49), No. 3, June 2019, pp. 232-240.
IEEE DOI 1906
Robot sensing systems, Cultural differences, Automation, Weapons, Buildings, Man-machine systems, Cognitive robotics, etiquette, service robots BibRef

van Diggelen, J., Neerincx, M., Peeters, M., Schraagen, J.M.,
Developing Effective and Resilient Human-Agent Teamwork Using Team Design Patterns,
IEEE_Int_Sys(34), No. 2, March 2019, pp. 15-24.
IEEE DOI 1906
Teamwork, Ontologies, Intelligent systems, Resilience, Degradation, Task analysis, Resistance BibRef

Dong, J.Q.[Jia-Qi], Xia, Z.[Zeyang], Yan, W.[Weiwu], Zhao, Q.F.[Qun-Fei],
Dynamic gesture recognition by directional pulse coupled neural networks for human-robot interaction in real time,
JVCIR(63), 2019, pp. 102583.
Elsevier DOI 1909
Human-robot interaction, Dynamic gesture recognition, Graph theory problem, Early recognition BibRef

Li, X.[Xing],
Human-robot interaction based on gesture and movement recognition,
SP:IC(81), 2020, pp. 115686.
Elsevier DOI 1912
Gesture recognition, Movement recognition, DTW, 3D SSD, Human-robot interaction BibRef

Xu, S.P.[Shu-Ping], Liang, L.X.[Li-Xin], Ji, C.B.[Cheng-Bin],
Gesture recognition for human-machine interaction in table tennis video based on deep semantic understanding,
SP:IC(81), 2020, pp. 115688.
Elsevier DOI 1912
Video semantic learning, Gesture recognition, human-machine interaction, Table tennis, Dynamic time warping BibRef

Du, G., Yao, G., Li, C., Liu, P.X.,
Natural Human-Robot Interface Using Adaptive Tracking System with the Unscented Kalman Filter,
HMS(50), No. 1, February 2020, pp. 42-54.
IEEE DOI 2001
Adaptive tracking, adaptive velocity control (AVC), human-robot interface, leap motion (LM), unscented Kalman filter (UKF) BibRef

Yu, B., Zhang, X., Wu, L., Chen, X., Chen, X.,
A Novel Postprocessing Method for Robust Myoelectric Pattern-Recognition Control Through Movement Pattern Transition Detection,
HMS(50), No. 1, February 2020, pp. 32-41.
IEEE DOI 2001
Human-computer interface, movement pattern transition (MPT), myoelectric control, pattern recognition, postprocessing BibRef

Young, S.N., Peschel, J.M.,
Review of Human-Machine Interfaces for Small Unmanned Systems With Robotic Manipulators,
HMS(50), No. 2, April 2020, pp. 131-143.
IEEE DOI 2004
Manipulators, Task analysis, Workstations, Robot sensing systems, Performance evaluation, Human-robot interaction, manipulators, user interfaces BibRef

Ji, Y., Yang, Y., Shen, F., Shen, H.T., Li, X.,
A Survey of Human Action Analysis in HRI Applications,
CirSysVideo(30), No. 7, July 2020, pp. 2114-2128.
IEEE DOI 2007
Survey, Human Robot Interaction. Human-robot interaction, action recognition, action prediction, action imitation, datasets, robots BibRef

Barbed, O.L., Azagra, P., Teixeira, L., Chli, M., Civera, J., Murillo, A.C.,
Fine grained pointing recognition for natural drone guidance,
VUHCS20(4480-4488)
IEEE DOI 2008
Drones, Robots, Image segmentation, Skeleton, Cameras, Elbow, Wrist BibRef

Wu, A., Piergiovanni, A.J., Ryoo, M.S.,
Model-Based Robot Imitation with Future Image Similarity,
IJCV(128), No. 5, May 2020, pp. 1360-1374.
Springer DOI 2005
BibRef
And: Correction: IJCV(128), No. 5, May 2020, pp. 1375.
Springer DOI 2005
Imitation learning. BibRef

Al-Makhadmeh, Z.[Zafer], Tolba, A.[Amr],
Dependable information processing method for reliable human-robot interactions in smart city applications,
IVC(104), 2020, pp. 104045.
Elsevier DOI 2012
Attribute categorization, Human-robot interaction, Information processing, K-means clustering, Smart city BibRef

Maekawa, Y., Akai, N., Hirayama, T., Morales, L.Y., Deguchi, D., Kawanishi, Y., Ide, I., Murase, H.,
An Analysis of How Driver Experience Affects Eye-Gaze Behavior for Robotic Wheelchair Operation,
EPIC19(4443-4451)
IEEE DOI 2004
control engineering computing, driver information systems, gaze tracking, handicapped aids, mobile robots, road safety, field of view BibRef

Hempel, T.[Thorsten], Al-Hamadi, A.[Ayoub],
SLAM-based Multistate Tracking System for Mobile Human-robot Interaction,
ICIAR20(I:368-376).
Springer DOI 2007
BibRef

Azari, B., Lim, A., Vaughan, R.,
Commodifying Pointing in HRI: Simple and Fast Pointing Gesture Detection from RGB-D Images,
CRV19(174-180)
IEEE DOI 1908
Cameras, Reliability, Hidden Markov models, Sensors, Robots, Robotics BibRef

Heidarivincheh, F., Mirmehdi, M., Damen, D.,
Weakly-Supervised Completion Moment Detection using Temporal Attention,
HBU19(1188-1196)
IEEE DOI 2004
human-robot interaction, learning (artificial intelligence), object detection, video signal processing, RGBD-AC dataset, Weak Supervision BibRef

Ivanovic, B., Pavone, M.,
The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs,
ICCV19(2375-2384)
IEEE DOI 2004
control engineering computing, graph theory, human-robot interaction, inference mechanisms, Autonomous systems BibRef

Berra, R.[Riccardo], Setti, F.[Francesco], Cristani, M.[Marco],
Gaze-Based Human-Robot Interaction by the Brunswick Model,
CIAP19(II:511-521).
Springer DOI 1909
BibRef

Reardon, C.[Christopher], Lee, K.[Kevin], Rogers III, J.G.[John G.], Fink, J.[Jonathan],
Augmented Reality for Human-Robot Teaming in Field Environments,
VAMR19(II:79-92).
Springer DOI 1909
BibRef

Haring, K.S.[Kerstin S.], Mosley, A.[Ariana], Pruznick, S.[Sarah], Fleming, J.[Julie], Satterfield, K.[Kelly], de Visser, E.J.[Ewart J.], Tossell, C.C.[Chad C.], Funke, G.[Gregory],
Robot Authority in Human-Machine Teams: Effects of Human-Like Appearance on Compliance,
VAMR19(II:63-78).
Springer DOI 1909
BibRef

Szafir, D.[Daniel],
Mediating Human-Robot Interactions with Virtual, Augmented, and Mixed Reality,
VAMR19(II:124-149).
Springer DOI 1909
BibRef

Williams, T.[Tom], Bussing, M.[Matthew], Cabrol, S.[Sebastian], Lau, I.[Ian], Boyle, E.[Elizabeth], Tran, N.[Nhan],
Investigating the Potential Effectiveness of Allocentric Mixed Reality Deictic Gesture,
VAMR19(II:178-198).
Springer DOI 1909
BibRef

Wynne, K.T.[Kevin T.], Lyons, J.B.[Joseph B.],
Autonomous Agent Teammate-Likeness: Scale Development and Validation,
VAMR19(II:199-213).
Springer DOI 1909
BibRef

van de Merwe, D.B.[David B.], van Maanen, L.[Leendert], Ter Haar, F.B.[Frank B.], van Dijk, R.J.E.[Roelof J. E.], Hoeba, N.[Nirul], van der Stap, N.[Nanda],
Human-Robot Interaction During Virtual Reality Mediated Teleoperation: How Environment Information Affects Spatial Task Performance and Operator Situation Awareness,
VAMR19(II:163-177).
Springer DOI 1909
BibRef

Allspaw, J.[Jordan], Heinold, L.[Lilia], Yanco, H.A.[Holly A.],
Design of Virtual Reality for Humanoid Robots with Inspiration from Video Games,
VAMR19(II:3-18).
Springer DOI 1909
BibRef

Manganaro, F.[Fabio], Pini, S.[Stefano], Borghi, G.[Guido], Vezzani, R.[Roberto], Cucchiara, R.[Rita],
Hand Gestures for the Human-Car Interaction: The Briareo Dataset,
CIAP19(II:560-571).
Springer DOI 1909
BibRef

Nuzzi, C.[Cristina], Pasinetti, S.[Simone], Pagani, R.[Roberto], Docchio, F.[Franco], Sansoni, G.[Giovanna],
Hand Gesture Recognition for Collaborative Workstations: A Smart Command System Prototype,
NTIAP19(332-342).
Springer DOI 1909
BibRef

Duarte, N.F.[Nuno Ferreira], Rakovic, M.[Mirko], Marques, J.[Jorge], Santos-Victor, J.[José],
Action Alignment from Gaze Cues in Human-Human and Human-Robot Interaction,
AnticipateBeh18(III:197-212).
Springer DOI 1905
BibRef

Teng, E., Iannucci, B.,
Autonomous Curiosity for Real-Time Training Onboard Robotic Agents,
WACV19(1486-1495)
IEEE DOI 1904
computer based training, educational robots, human-robot interaction, object detection, software agents, Space exploration BibRef

Raglin, A.[Adrienne], Harrison, A.[Andre], Summers-Stay, D.[Douglass],
Fused Reasoning under Uncertainty for Soldier Centric Human-Agent Decision Making,
Southwest18(1-4)
IEEE DOI 1809
Cognition, Uncertainty, Object recognition, Decision making, Horses, Dogs, Heuristic algorithms, uncertainty, decision making, saliency BibRef

Schaefer, K.E.[Kristin E.], Perelman, B.S.[Brandon S.], Brewer, R.W.[Ralph W.], Wright, J.L.[Julia L.], Roy, N.[Nicholas], Aksaray, D.[Derya],
Quantifying Human Decision-Making: Implications for Bidirectional Communication in Human-Robot Teams,
VAMR18(I: 361-379).
Springer DOI 1807
BibRef

Cabrera, M.E., Sanchez-Tamayo, N., Voyles, R., Wachs, J.P.,
One-Shot Gesture Recognition: One Step Towards Adaptive Learning,
FG17(784-789)
IEEE DOI 1707
Gesture recognition, Kinematics, Measurement, Production, Robots, Training, Trajectory BibRef

Zhu, T.[Tehao], Zhao, Q.[Qunfei], Xiong, J.[Jing],
A Body Emotion-Based Human-Robot Interaction,
CVS17(268-278).
Springer DOI 1711
BibRef

Chen, B.[Bo], Hua, C.S.[Chun-Sheng], Han, J.[Jianda], He, Y.Q.[Yu-Qing],
A Novel Real-Time Gesture Recognition Algorithm for Human-Robot Interaction on the UAV,
CVS17(518-526).
Springer DOI 1711
BibRef

Kryuchkov, B.I., Usov, V.M., Chertopolokhov, V.A., Ronzhin, A.L., Karpov, A.A.,
Simulation of the 'cosmonaut-robot' System Interaction On the Lunar Surface Based On Methods of Machine Vision And Computer Graphics,
PTVSBB17(129-133).
DOI Link 1805
BibRef

Shukla, D., Erkent, Ö., Piater, J.,
Supervised Learning of Gesture-Action Associations for Human-Robot Collaboration,
FG17(778-783)
IEEE DOI 1707
Collaboration, Handover, Legged locomotion, Robot kinematics, Supervised, learning BibRef

Williams, H., Naqvi, S.S., Browne, W.N., Hollitt, C.,
Introduction of a human based attention model for robotic navigation,
ICVNZ15(1-6)
IEEE DOI 1701
human-robot interaction BibRef

Fabbri, C., Sattar, J.,
SmartTalk: A Learning-Based Framework for Natural Human-Robot Interaction,
CRV16(376-382)
IEEE DOI 1612
HRI BibRef

Christ, P.F.[Patrick Ferdinand], Lachner, F.[Florian], Hösl, A.[Axel], Menze, B.[Bjoern], Diepold, K.[Klaus], Butz, A.[Andreas],
Human-Drone-Interaction: A Case Study to Investigate the Relation Between Autonomy and User Experience,
ACVR16(II: 238-253).
Springer DOI 1611
BibRef

Guler, A.[Alp], Kardaris, N.[Nikolaos], Chandra, S.[Siddhartha], Pitsikalis, V.[Vassilis], Werner, C.[Christian], Hauer, K.[Klaus], Tzafestas, C.[Costas], Maragos, P.[Petros], Kokkinos, I.[Iasonas],
Human Joint Angle Estimation and Gesture Recognition for Assistive Robotic Vision,
ACVR16(II: 415-431).
Springer DOI 1611
BibRef

Rodomagoulakis, I., Kardaris, N., Pitsikalis, V., Arvanitakis, A., Maragos, P.,
A multimedia gesture dataset for human robot communication: Acquisition, tools and recognition results,
ICIP16(3066-3070)
IEEE DOI 1610
Cameras BibRef

Shukla, D.[Dadhichi], Erkent, Ö.[Özgür], Piater, J.[Justus],
Probabilistic Detection of Pointing Directions for Human-Robot Interaction,
DICTA15(1-8)
IEEE DOI 1603
BibRef
And:
General Object Tip Detection and Pose Estimation for Robot Manipulation,
CVS15(364-374).
Springer DOI 1507
gesture recognition BibRef

Chandra, S.[Siddhartha], Usunier, N.[Nicolas], Kokkinos, I.[Iasonas],
Dense and Low-Rank Gaussian CRFs Using Deep Embeddings,
ICCV17(5113-5122)
IEEE DOI 1802
Gaussian processes, computational complexity, gradient methods, graph theory, image capture, image segmentation, Training BibRef

Chandra, S.[Siddhartha], Kokkinos, I.[Iasonas],
Fast, Exact and Multi-scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs,
ECCV16(VII: 402-418).
Springer DOI 1611
BibRef

Chandra, S., Tsogkas, S., Kokkinos, I.,
Accurate Human-Limb Segmentation in RGB-D Images for Intelligent Mobility Assistance Robots,
ACVR15(436-442)
IEEE DOI 1602
Head; Image segmentation; Robots; Semantics; Testing; Training; Videos BibRef

Rueben, M.[Matthew], Smart, W.D.[William D.],
Shared Autonomy Perception and Manipulation of Physical Device Controls,
ISVC15(II: 830-841).
Springer DOI 1601
Robot controlling old style controls (buttons). BibRef

Nakhaeinia, D.[Danial], Laferriere, P.[Pascal], Payeur, P.[Pierre], Laganiere, R.[Robert],
Safe Close-Proximity and Physical Human-Robot Interaction Using Industrial Robots,
CRV15(237-244)
IEEE DOI 1507
Distance measurement BibRef

Ueno, S.[Satoshi], Naito, S.[Sei], Chen, T.H.[Tsu-Han],
An efficient method for human pointing estimation for robot interaction,
ICIP14(1545-1549)
IEEE DOI 1502
Accuracy BibRef

Chang, O.[Oscar],
A Bio-Inspired Robot with Visual Perception of Affordances,
Affordance14(420-426).
Springer DOI 1504
BibRef

Duncan, K.[Kester], Sarkar, S.[Sudeep], Alqasemi, R.[Redwan], Dubey, R.[Rajiv],
Scene-Dependent Intention Recognition for Task Communication with Reduced Human-Robot Interaction,
ACVR14(730-745).
Springer DOI 1504
BibRef

Michel, D.[Damien], Papoutsakis, K.[Konstantinos], Argyros, A.A.[Antonis A.],
Gesture Recognition Supporting the Interaction of Humans with Socially Assistive Robots,
ISVC14(I: 793-804).
Springer DOI 1501
BibRef

Chen, L.[Lei], Dong, Z.[Zhen], Gao, S.[Sheng], Yuan, B.F.[Bao-Feng], Pei, M.T.[Ming-Tao],
Stereovision-Only Based Interactive Mobile Robot for Human-Robot Face-to-Face Interaction,
ICPR14(1840-1845)
IEEE DOI 1412
Detectors BibRef

El-Barkouky, A.[Ahmed], Mahmoud, A.[Ali], Graham, J.[James], Farag, A.A.[Aly A.],
An interactive educational drawing system using a humanoid robot and light polarization,
ICIP13(3407-3411)
IEEE DOI 1402
Educational; NAO; Polarization BibRef

Somani, N.[Nikhil], Cai, C.[Caixia], Perzylo, A.[Alexander], Rickert, M.[Markus], Knoll, A.[Alois],
Object Recognition Using Constraints from Primitive Shape Matching,
ISVC14(I: 783-792).
Springer DOI 1501
BibRef

Somani, N.[Nikhil], Dean-León, E.[Emmanuel], Cai, C.[Caixia], Knoll, A.[Alois],
Scene Perception and Recognition in Industrial Environments for Human-Robot Interaction,
ISVC13(I:373-384).
Springer DOI 1310
BibRef
And:
Scene Perception and Recognition for Human-Robot Co-operation,
ACVR13(50-59).
Springer DOI 1309
BibRef

Grzejszczak, T.[Tomasz], Mikulski, M.[Michal], Szkodny, T.[Tadeusz], Jedrasiak, K.[Karol],
Gesture Based Robot Control,
ICCVG12(407-413).
Springer DOI 1210
BibRef

Fujita, T.,
Hand movement detection using monocular camera for robot cooperation,
ICARCV08(2188-2191).
IEEE DOI 1109
BibRef

Diaz, M.[Marta], Nuno, N.[Neus], Saez-Pons, J.[Joan], Pardo, D.E.[Diego E.], Angulo, C.[Cecilio],
Building up child-robot relationship for therapeutic purposes: From initial attraction towards long-term social engagement,
FG11(927-932).
IEEE DOI 1103
BibRef

Gyoda, M.[Masahiko], Tabata, T.[Tomoya], Kobayashi, Y.[Yoshinori], Kuno, Y.[Yoshinori],
Mobile care robot accepting requests through nonverbal interaction,
FCV11(1-5).
IEEE DOI 1102
BibRef

Fransen, B.R.[Benjamin R.], Lawson, W.E.[Wallace E.], Bugajska, M.D.[Magdalena D.],
Integrating vision for human-robot interaction,
CVforHRI10(9-16).
IEEE DOI 1006
BibRef

Li, Z.[Zhi], Jarvis, R.,
Visual interpretation of natural pointing gestures in 3D space for human-robot interaction,
ICARCV10(2513-2518).
IEEE DOI 1109
BibRef

Kjellström, H.[Hedvig], Romero, J.[Javier], Martínez, D.[David], Kragic, D.[Danica],
Simultaneous Visual Recognition of Manipulation Actions and Manipulated Objects,
ECCV08(II: 336-349).
Springer DOI 0810
E.g. robot learns task by watching. BibRef

Ghobadi, S.E.[Seyed Eghbal], Loepprich, O.E.[Omar Edmond], Ahmadov, F.[Farid], Bernshausen, J.[Jens], Hartmann, K.[Klaus], Loffeld, O.[Otmar],
Real Time Hand Based Robot Control Using 2D/3D Images,
ISVC08(II: 307-316).
Springer DOI 0812
BibRef

Burger, B.[Brice], Ferrané, I.[Isabelle], Lerasle, F.[Frédéric],
Multimodal Interaction Abilities for a Robot Companion,
CVS08(xx-yy).
Springer DOI 0805
BibRef

Ziaie, P.[Pujan], Muller, T.[Thomas], Knoll, A.[Alois],
A Novel Approach to Hand-Gesture Recognition in a Human-Robot Dialog System,
IPTA08(1-8).
IEEE DOI 0811
BibRef

Lee, S.W.[Seong-Whan],
Automatic Gesture Recognition for Intelligent Human-Robot Interaction,
FGR06(645-650).
IEEE DOI 0604
BibRef

Yang, H.D.[Hee-Deok], Park, A.Y.[A-Yeon], Lee, S.W.[Seong-Whan],
Human-Robot Interaction by Whole Body Gesture Spotting and Recognition,
ICPR06(IV: 774-777).
IEEE DOI 0609
BibRef
And:
Robust Spotting of Key Gestures from Whole Body Motion Sequence,
FGR06(231-236).
IEEE DOI 0604
BibRef

Park, H.S.[Hye Sun], Kim, E.Y.[Eun Yi], Jang, S.S.[Sang Su], Park, S.H.[Se Hyun], Park, M.H.[Min Ho], Kim, H.J.[Hang Joon],
HMM-Based Gesture Recognition for Robot Control,
IbPRIA05(I:607).
Springer DOI 0509
BibRef

Antón-Canalís, L.[Luis], Sánchez-Nielsen, E.[Elena], Castrillón-Santana, M.[Modesto],
Fast and Accurate Hand Pose Detection for Human-Robot Interaction,
IbPRIA05(I:553).
Springer DOI 0509
BibRef

Deniz-Suarez, O., Falcon, A., Mendez, J., Castrillon-Santana, M.,
Useful Computer Vision Techniques for Human-Robot Interaction,
ICIAR04(II: 725-732).
Springer DOI 0409
BibRef

Hasanuzzaman, M., Zhang, T.[Tao], Ampornaramveth, V., Bhuiyan, M.A., Shirai, Y.[Yoshiaki], Ueno, H.,
Gesture Recognition for Human-Robot Interaction Through a Knowledge Based Software Platform,
ICIAR04(I: 530-537).
Springer DOI 0409
BibRef

Huang, X.[Xiao], Weng, J.Y.[Ju-Yang],
Motivational System for Human-Robot Interaction,
CVHCI04(17-27).
Springer DOI 0505
BibRef

Paquin, V.[Vincent], Cohen, P.[Paul],
A Vision-Based Gestural Guidance Interface for Mobile Robotic Platforms,
CVHCI04(39-47).
Springer DOI 0505
BibRef

Boehme, H.J.[Hans-Joachim], Braumann, U.D.[Ulf-Dietrich], Corradini, A.[Andrea], Gross, H.M.[Horst-Michael],
Person Localization and Posture Recognition for Human-Robot Interaction,
GW99(117).
Springer DOI 9903
BibRef
Earlier: A3, A2, A1, A4:
Contour-based Person Localizaion by 3d Neural Fields and Steerable Filters,
MVA98(xx-yy). BibRef

Boehme, H.J.[Hans-Joachim], Braumann, U.D.[Ulf-Dietrich], Brakensiek, A., Corradini, A.[Andrea], Krabbes, M., Gross, H.M.[Horst-Michael],
User Localisation for Visually-Based Human-Machine-Interaction,
AFGR98(486-491).
IEEE DOI BibRef 9800

Kahn, R.E.[Roger E.], Swain, M.J.[Michael J.], Prokopowicz, P.N.[Peter N.], and Firby, R.J.[R. James],
Gesture Recognition Using Perseus Architecture,
CVPR96(734-741).
IEEE DOI BibRef 9600

Kahn, R.E., Swain, M.J.,
Understanding People Pointing: The Perseus System,
SCV95(569-574).
IEEE DOI University of Chicago. Point at an object, the robot goes to it. BibRef 9500

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Gesture Systems, Surfaces, Desks, Tables, Objects .

Last update:Jan 17, 2021 at 16:22:28