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1706
Adaptation models, Ambient assisted living,
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Context-aware services, Robots, Active and assisted living,
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1804
Learning and adaptive systems, Robotics, Motion learning,
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1806
Companion-human interaction, aiming at improving user
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1903
Task analysis, Manipulators, Human factors,
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1901
Biological system modeling, Robots, Adaptation models,
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1902
Social robots, POMDPs, Automated planning, Decision making, Machine learning
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1901
Robot sensing systems, Task analysis, Robot kinematics,
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Human Adaptation to Human-Robot Shared Control,
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1903
Task analysis, Robot sensing systems, Robot kinematics,
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Evaluating Fluency in Human-Robot Collaboration,
HMS(49), No. 3, June 2019, pp. 209-218.
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1906
Measurement, Robot kinematics, Robot sensing systems,
Task analysis, Teamwork, Artificial intelligence,
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Doering, M.,
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Modeling Interaction Structure for Robot Imitation Learning of Human
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1906
Robot sensing systems, Hidden Markov models, Data collection,
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Inbar, O.,
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Politeness Counts: Perceptions of Peacekeeping Robots,
HMS(49), No. 3, June 2019, pp. 232-240.
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1906
Robot sensing systems, Cultural differences, Automation, Weapons,
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van Diggelen, J.,
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Developing Effective and Resilient Human-Agent Teamwork Using Team
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1906
Teamwork, Ontologies, Intelligent systems, Resilience, Degradation,
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1909
Human-robot interaction, Dynamic gesture recognition, Graph theory problem,
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1912
Gesture recognition, Movement recognition, DTW, 3D SSD, Human-robot interaction
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Ji, C.B.[Cheng-Bin],
Gesture recognition for human-machine interaction in table tennis
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1912
Video semantic learning, Gesture recognition,
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Adaptive tracking, adaptive velocity control (AVC),
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Yu, B.,
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Chen, X.,
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2001
Human-computer interface, movement pattern transition (MPT),
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2004
Manipulators, Task analysis, Workstations, Robot sensing systems,
Performance evaluation, Human-robot interaction, manipulators,
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Survey, Human Robot Interaction. Human-robot interaction, action recognition, action prediction,
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Barbed, O.L.,
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Chli, M.,
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Fine grained pointing recognition for natural drone guidance,
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IEEE DOI
2008
Drones, Robots, Image segmentation, Skeleton, Cameras, Elbow, Wrist
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2005
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And:
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Springer DOI
2005
Imitation learning.
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2012
Attribute categorization, Human-robot interaction,
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Hempel, T.[Thorsten],
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SLAM-based Multistate Tracking System for Mobile Human-robot
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2007
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Azari, B.,
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Vaughan, R.,
Commodifying Pointing in HRI: Simple and Fast Pointing Gesture
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CRV19(174-180)
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1908
Cameras,
Reliability, Hidden Markov models, Sensors, Robots,
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Heidarivincheh, F.,
Mirmehdi, M.,
Damen, D.,
Weakly-Supervised Completion Moment Detection using Temporal
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HBU19(1188-1196)
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human-robot interaction, learning (artificial intelligence),
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Weak Supervision
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Ivanovic, B.,
Pavone, M.,
The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With
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ICCV19(2375-2384)
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control engineering computing, graph theory,
human-robot interaction, inference mechanisms, Autonomous systems
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Gaze-Based Human-Robot Interaction by the Brunswick Model,
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1909
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Reardon, C.[Christopher],
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Augmented Reality for Human-Robot Teaming in Field Environments,
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1909
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Robot Authority in Human-Machine Teams:
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1909
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Mediating Human-Robot Interactions with Virtual, Augmented, and Mixed
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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.],
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Quantifying Human Decision-Making: Implications for Bidirectional
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VAMR18(I: 361-379).
Springer DOI
1807
BibRef
Cabrera, M.E.,
Sanchez-Tamayo, N.,
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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:
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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
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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
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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
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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
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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
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Bugajska, M.D.[Magdalena D.],
Integrating vision for human-robot interaction,
CVforHRI10(9-16).
IEEE DOI
1006
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Li, Z.[Zhi],
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Visual interpretation of natural pointing gestures in 3D space for
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ICARCV10(2513-2518).
IEEE DOI
1109
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Martínez, D.[David],
Kragic, D.[Danica],
Simultaneous Visual Recognition of Manipulation Actions and Manipulated
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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],
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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).
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0805
BibRef
Ziaie, P.[Pujan],
Muller, T.[Thomas],
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A Novel Approach to Hand-Gesture Recognition in a Human-Robot Dialog
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IPTA08(1-8).
IEEE DOI
0811
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Lee, S.W.[Seong-Whan],
Automatic Gesture Recognition for Intelligent Human-Robot Interaction,
FGR06(645-650).
IEEE DOI
0604
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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).
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0509
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Fast and Accurate Hand Pose Detection for Human-Robot Interaction,
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Springer DOI
0509
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Deniz-Suarez, O.,
Falcon, A.,
Mendez, J.,
Castrillon-Santana, M.,
Useful Computer Vision Techniques for Human-Robot Interaction,
ICIAR04(II: 725-732).
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0409
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Hasanuzzaman, M.,
Zhang, T.[Tao],
Ampornaramveth, V.,
Bhuiyan, M.A.,
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Ueno, H.,
Gesture Recognition for Human-Robot Interaction Through a Knowledge
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ICIAR04(I: 530-537).
Springer DOI
0409
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Motivational System for Human-Robot Interaction,
CVHCI04(17-27).
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0505
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Paquin, V.[Vincent],
Cohen, P.[Paul],
A Vision-Based Gestural Guidance Interface for Mobile Robotic Platforms,
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0505
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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.,
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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 .