Kang, S.B.[Sing Bing],
Ikeuchi, K.[Katsu],
Toward Automatic Robot Instruction from Perception:
Temporal Segmentation of Tasks from Human Hand Motion,
RA(11), No. 5, October 1995, pp. 670-681.
BibRef
9510
Earlier:
Determination of Motion Breakpoints in a Task Sequence from
Human Hand Motion,
CRA94(551-556).
BibRef
Kang, S.B.[Sing Bing],
Ikeuchi, K.[Katsu],
Temporal Segmentation of Tasks from Human Hand Motion,
CMU-CS-TR-93-150, April 1993.
BibRef
9304
Kang, S.B.[Sing Bing],
Ikeuchi, K.[Katsushi],
Toward Automatic Robot Instruction from Perception:
Mapping Human Grasps to Manipulator Grasps,
RA(13), No. 1, February 1997, pp. 81-95.
9703
BibRef
Earlier:
A Robot System That Observes and Replicates Grasping Tasks,
ICCV95(1093-1099).
IEEE DOI
BibRef
Earlier: A2, A1:
Assembly Plan from Observation,
AAAI-MLCV93(xx).
CMU.
BibRef
Earlier: A1, A2:
A Framework for Recognizing Grasps,
CMU-RI-TR-91-24, November 1991.
PS File.
BibRef
Kang, S.B.,
Ikeuchi, K.,
Toward Automatic Robot Instruction from Perception-Recognizing a
Grasp from Observation,
RA(9), 1993, pp. 432-443.
BibRef
9300
Jiar, Y.D.[Yun-De],
Wheeler, M.D.[Mark D.],
Ikeuchi, K.[Katsushi],
Hand Action Perception and Robot Instruction,
CMU-CS-TR-96-116, March 1996.
PS File.
BibRef
9603
Triesch, J.[Jochen],
von der Malsburg, C.[Christoph],
A System for Person-Independent Hand Posture Recognition against
Complex Backgrounds,
PAMI(23), No. 12, December 2001, pp. 1449-1453.
IEEE DOI
0112
BibRef
And:
A Gesture Interface for Human-Robot-Interaction,
AFGR98(546-551).
IEEE DOI Elastic graph matching (
See also Distortion Invariant Object Recognition in the Dynamic Link Architecture. ).
Extended to allow for changes at nodes.
BibRef
Triesch, J.[Jochen],
Wieghardt, J.[Jan],
Maël, E.[Eric],
von der Malsburg, C.[Christoph],
Towards Imitation Learning of Grasping Movements by an Autonomous Robot,
GW99(73).
Springer DOI
9903
BibRef
Triesch, J.[Jochen],
von der Malsburg, C.[Christoph],
Classification of hand postures against complex backgrounds using
elastic graph matching,
IVC(20), No. 13-14, December 2002, pp. 937-943.
Elsevier DOI
0212
BibRef
Earlier:
Robust classification of hand postures against complex backgrounds,
AFGR96(170-175).
IEEE DOI
9610
BibRef
Sato, Y.[Yosuke],
Ogawa, T.[Tetsuji],
Kobayashi, T.[Tetsunori],
Extension of Hidden Markov Models for Multiple Candidates and Its
Application to Gesture Recognition,
IEICE(E88-D), No. 6, June 2005, pp. 1239-1247.
DOI Link
0506
BibRef
Sato, Y.[Yosuke],
Kobayashi, T.[Tetsunori],
Extension of hidden markov models to deal with multiple candidates of
observations and its application to mobile-robot-oriented gesture
recognition,
ICPR02(II: 515-519).
IEEE DOI
0211
BibRef
Nickel, K.[Kai],
Stiefelhagen, R.[Rainer],
Visual recognition of pointing gestures for human-robot interaction,
IVC(25), No. 12, 3 December 2007, pp. 1875-1884.
Elsevier DOI
0710
BibRef
Earlier:
Real-Time Person Tracking and Pointing Gesture Recognition for
Human-Robot Interaction,
CVHCI04(28-38).
Springer DOI
0505
BibRef
Earlier:
Real-Time Recognition of 3D-Pointing Gestures for
Human-Machine-Interaction,
DAGM03(557-565).
Springer DOI
0310
Person tracking; Gesture recognition; Head orientation; Human-robot interaction
BibRef
Nickel, K.[Kai],
Seemann, E.,
Stiefelhagen, R.,
3D-tracking of head and hands for pointing gesture recognition in a
human-robot interaction scenario,
AFGR04(565-570).
IEEE DOI
0411
BibRef
Seemann, E.,
Nickel, K.[Kai],
Stiefelhagen, R.,
Head pose estimation using stereo vision for human-robot interaction,
AFGR04(626-631).
IEEE DOI
0411
BibRef
Hong, J.H.,
Song, Y.S.,
Cho, S.B.,
Mixed-Initiative Human-Robot Interaction Using Hierarchical Bayesian
Networks,
SMC-A(37), No. 6, November 2007, pp. 1158-1164.
IEEE DOI
0709
BibRef
Park, C.B.[Chang-Beom],
Lee, S.W.[Seong-Whan],
Real-time 3D pointing gesture recognition for mobile robots with
cascade HMM and particle filter,
IVC(29), No. 1, January 2011, pp. 51-63.
Elsevier DOI
1011
Human-robot interaction; Pointing gesture recognition; Cascade HMM; 3D
particle filter
BibRef
Park, C.B.[Chang-Beom],
Roh, M.C.[Myung-Cheol],
Lee, S.W.[Seong-Whan],
Real-time 3D pointing gesture recognition in mobile space,
FG08(1-6).
IEEE DOI
0809
BibRef
Lim, G.H.,
Suh, I.H.,
Suh, H.,
Ontology-Based Unified Robot Knowledge for Service Robots in Indoor
Environments,
SMC-A(41), No. 3, May 2011, pp. 492-509.
IEEE DOI
1104
BibRef
Kasap, Z.[Zerrin],
Magnenat-Thalmann, N.[Nadia],
Building long-term relationships with virtual and robotic characters:
the role of remembering,
VC(28), No. 1, January 2012, pp. 87-97.
WWW Link.
1201
BibRef
Fasola, J.,
Mataric, M.J.,
Using Socially Assistive Human-Robot Interaction to Motivate Physical
Exercise for Older Adults,
PIEEE(100), No. 8, August 2012, pp. 2512-2526.
IEEE DOI
1208
BibRef
Shibata, T.,
Therapeutic Seal Robot as Biofeedback Medical Device: Qualitative and
Quantitative Evaluations of Robot Therapy in Dementia Care,
PIEEE(100), No. 8, August 2012, pp. 2527-2538.
IEEE DOI
1208
BibRef
Peng, K.C.C.,
Singhose, W.,
Bhaumik, P.,
Using Machine Vision and Hand-Motion Control to Improve Crane Operator
Performance,
SMC-A(42), No. 6, November 2012, pp. 1496-1503.
IEEE DOI
1210
BibRef
Jacob, M.G.[Mithun George],
Li, Y.T.[Yu-Ting],
Akingba, G.A.[George A.],
Wachs, J.P.[Juan P.],
Collaboration With a Robotic Scrub Nurse,
CACM(56), No. 5, May 2013, pp. 68-75.
DOI Link
1305
Surgeons use hand gestures and/or voice commands without interrupting
the natural flow of a procedure.
BibRef
Zheng, K.,
Glas, D.F.,
Kanda, T.,
Ishiguro, H.,
Hagita, N.,
Designing and Implementing a Human-Robot Team for Social Interactions,
SMCS(43), No. 4, 2013, pp. 843-859.
IEEE DOI
1307
Automation; Customer satisfaction; Robot sensing systems;
Human-robot interaction;modeling
BibRef
Pateraki, M.[Maria],
Baltzakis, H.G.[Haris G.],
Trahanias, P.E.[Panos E.],
Visual estimation of pointed targets for robot guidance via fusion of
face pose and hand orientation,
CVIU(120), No. 1, 2014, pp. 1-13.
Elsevier DOI
1403
BibRef
Earlier:
RobPerc11(1060-1067).
IEEE DOI
1201
Human-robot interaction
BibRef
Alvarez-Santos, V.,
Iglesias, R.,
Pardo, X.M.,
Regueiro, C.V.,
Canedo-Rodriguez, A.,
Gesture-based interaction with voice feedback for a tour-guide robot,
JVCIR(25), No. 2, 2014, pp. 499-509.
Elsevier DOI
1403
Tour-guide robot
BibRef
Yanik, P.M.,
Manganelli, J.,
Merino, J.,
Threatt, A.L.,
Brooks, J.O.,
Green, K.E.,
Walker, I.D.,
A Gesture Learning Interface for Simulated Robot Path Shaping With a
Human Teacher,
HMS(44), No. 1, February 2014, pp. 41-54.
IEEE DOI
1403
gesture recognition
BibRef
Chen, J.Y.C.,
Barnes, M.J.,
Human-Agent Teaming for Multirobot Control:
A Review of Human Factors Issues,
HMS(44), No. 1, February 2014, pp. 13-29.
IEEE DOI
1403
control engineering computing
BibRef
Matsumura, R.,
Shiomi, M.,
Miyashita, T.,
Ishiguro, H.,
Hagita, N.,
Who is Interacting With me: Identification of an Interacting Person
Through Playful Interaction With a Small Robot,
HMS(44), No. 2, April 2014, pp. 169-179.
IEEE DOI
1404
human-robot interaction
BibRef
Wiltshire, T.J.,
Fiore, S.M.,
Social Cognitive and Affective Neuroscience in Human-Machine Systems:
A Roadmap for Improving Training, Human-Robot Interaction, and Team
Performance,
HMS(44), No. 6, December 2014, pp. 779-787.
IEEE DOI
1412
computer based training
BibRef
Doisy, G.,
Meyer, J.,
Edan, Y.,
The Impact of Human-Robot Interface Design on the Use of a Learning
Robot System,
HMS(44), No. 6, December 2014, pp. 788-795.
IEEE DOI
1412
human-robot interaction
BibRef
Zhang, Z.,
Beck, A.,
Magnenat-Thalmann, N.,
Human-Like Behavior Generation Based on Head-Arms Model for Robot
Tracking External Targets and Body Parts,
Cyber(45), No. 8, August 2015, pp. 1390-1400.
IEEE DOI
1506
Face
BibRef
Sheng, W.,
Thobbi, A.,
Gu, Y.,
An Integrated Framework for Human-Robot Collaborative Manipulation,
Cyber(45), No. 10, October 2015, pp. 2030-2041.
IEEE DOI
1509
Collaboration
BibRef
Pfeiffer, S.[Sammy],
Angulo, C.[Cecilio],
Gesture learning and execution in a humanoid robot via dynamic
movement primitives,
PRL(67, Part 1), No. 1, 2015, pp. 100-107.
Elsevier DOI
1511
Dynamic movement primitives
BibRef
Jevtic, A.,
Doisy, G.,
Parmet, Y.,
Edan, Y.,
Comparison of Interaction Modalities for Mobile Indoor Robot
Guidance: Direct Physical Interaction, Person Following, and Pointing
Control,
HMS(45), No. 6, December 2015, pp. 653-663.
IEEE DOI
1512
Gesture recognition
BibRef
Das, D.,
Rashed, M.G.,
Kobayashi, Y.,
Kuno, Y.,
Supporting Human-Robot Interaction Based on the Level of Visual Focus
of Attention,
HMS(45), No. 6, December 2015, pp. 664-675.
IEEE DOI
1512
Communication channels
BibRef
Modares, H.,
Ranatunga, I.,
Lewis, F.L.,
Popa, D.O.,
Optimized Assistive Human-Robot Interaction Using Reinforcement
Learning,
Cyber(46), No. 3, March 2016, pp. 655-667.
IEEE DOI
1602
Adaptation models
BibRef
Kolling, A.,
Walker, P.,
Chakraborty, N.,
Sycara, K.,
Lewis, M.,
Human Interaction With Robot Swarms: A Survey,
HMS(46), No. 1, February 2016, pp. 9-26.
IEEE DOI
1602
human-robot interaction
BibRef
Sefidgar, Y.S.,
MacLean, K.E.,
Yohanan, S.,
van der Loos, H.F.M.,
Croft, E.A.,
Garland, E.J.,
Design and Evaluation of a Touch-Centered Calming Interaction with a
Social Robot,
AffCom(7), No. 2, April 2016, pp. 108-121.
IEEE DOI
1606
Animals
BibRef
Canal, G.[Gerard],
Escalera, S.[Sergio],
Angulo, C.[Cecilio],
A real-time Human-Robot Interaction system based on gestures for
assistive scenarios,
CVIU(149), No. 1, 2016, pp. 65-77.
Elsevier DOI
1606
Gesture recognition
BibRef
Sakamoto, D.,
Sugiura, Y.,
Inami, M.,
Igarashi, T.,
Graphical Instruction for Home Robots,
Computer(49), No. 7, July 2016, pp. 20-25.
IEEE DOI
1608
graphical user interfaces
BibRef
Ye, W.Q.[Wei-Quan],
Li, Z.J.[Zhi-Jun],
Yang, C.G.[Chen-Guang],
Sun, J.J.[Jun-Jie],
Su, C.Y.[Chun-Yi],
Lu, R.Q.[Ren-Quan],
Vision-Based Human Tracking Control of a Wheeled Inverted Pendulum
Robot,
Cyber(46), No. 11, November 2016, pp. 2423-2434.
IEEE DOI
1609
adaptive control
BibRef
Ficocelli, M.,
Terao, J.,
Nejat, G.,
Promoting Interactions Between Humans and Robots Using Robotic
Emotional Behavior,
Cyber(46), No. 12, December 2016, pp. 2911-2923.
IEEE DOI
1612
Adaptation models
BibRef
Guo, S.[Shihui],
Xu, H.X.[Han-Xiang],
Magnenat-Thalmann, N.[Nadia],
Yao, J.F.[Jun-Feng],
Customization and fabrication of the appearance for humanoid robot,
VC(33), No. 1, January 2017, pp. 63-74.
WWW Link.
1702
BibRef
Cerekovic, A.[Aleksandra],
Aran, O.[Oya],
Gatica-Perez, D.[Daniel],
Rapport with Virtual Agents: What Do Human Social Cues and
Personality Explain?,
AffCom(8), No. 3, July 2017, pp. 382-395.
IEEE DOI
1709
BibRef
Earlier:
How Do You Like Your Virtual Agent?: Human-Agent Interaction Experience
through Nonverbal Features and Personality Traits,
HBU14(1-15).
Springer DOI
1411
Affective computing, Observers,
Psychology, Visualization, Human-agent interaction,
human personality, nonverbal behavior analysis,
rapport prediction, social signal processing
BibRef
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.[Adriŕ],
Alenyŕ, 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
van Paassen, M.M.[Marinus M.],
Borst, C.[Clark],
Ellerbroek, J.[Joost],
Mulder, M.[Max],
Flach, J.M.[John M.],
Ecological Interface Design for Vehicle Locomotion Control,
HMS(48), No. 5, October 2018, pp. 541-555.
IEEE DOI
1809
Interface design.
Task analysis, Planning, Aircraft, Control systems,
Aerospace electronics, Optical feedback, Optical sensors,
vehicle control
BibRef
Zhang, J.Z.[Ju-Zheng],
Zheng, J.M.[Jian-Min],
Magnenat-Thalmann, N.[Nadia],
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
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
Jiang, C.,
Ni, Z.,
Guo, Y.,
He, H.,
Learning Human-Robot Interaction for Robot-Assisted Pedestrian Flow
Optimization,
SMCS(49), No. 4, April 2019, pp. 797-813.
IEEE DOI
1903
Dynamics, Collision avoidance, Force, Optimization, Robot motion,
Real-time systems, Human-robot interaction (HRI),
socially assistive robots
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
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
Sheron, P.S.F.[P.S. Febin],
Sridhar, K.P.,
Baskar, S.,
Shakeel, P.M.[P. Mohamed],
Projection-dependent input processing for 3D object recognition in
human robot interaction systems,
IVC(106), 2021, pp. 104089.
Elsevier DOI
2102
3D images, Dimension modeling, HRI,
Principle component analysis, Space projection
BibRef
Yu, X.,
He, W.,
Li, Y.,
Xue, C.,
Li, J.,
Zou, J.,
Yang, C.,
Bayesian Estimation of Human Impedance and Motion Intention for
Human-Robot Collaboration,
Cyber(51), No. 4, April 2021, pp. 1822-1834.
IEEE DOI
2103
Robots, Impedance, Task analysis, Estimation, Force, Dynamics,
Bayes methods, Adaptive impedance control, Bayesian estimation,
neural networks (NNs)
BibRef
Broekens, J.[Joost],
Chetouani, M.[Mohamed],
Towards Transparent Robot Learning Through TDRL-Based Emotional
Expressions,
AffCom(12), No. 2, April 2021, pp. 352-362.
IEEE DOI
2106
Task analysis, Robot kinematics, Robot learning,
Reinforcement learning, Computational modeling, Education,
temporal difference
BibRef
Freire-Obregón, D.[David],
Rosales-Santana, K.[Kevin],
Marín-Reyes, P.A.[Pedro A.],
Penate-Sanchez, A.[Adrian],
Lorenzo-Navarro, J.[Javier],
Castrillón-Santana, M.[Modesto],
Improving user verification in human-robot interaction from audio or
image inputs through sample quality assessment,
PRL(149), 2021, pp. 179-184.
Elsevier DOI
2108
Biometric verification, Audiovisual verification, Human robot interaction
BibRef
Kress-Gazit, H.[Hadas],
Eder, K.[Kerstin],
Hoffman, G.[Guy],
Admoni, H.[Henny],
Argall, B.[Brenna],
Ehlers, R.[Rüdiger],
Heckman, C.[Christoffer],
Jansen, N.[Nils],
Knepper, R.[Ross],
Kretínský, J.[Jan],
Levy-Tzedek, S.[Shelly],
Li, J.[Jamy],
Murphey, T.[Todd],
Riek, L.[Laurel],
Sadigh, D.[Dorsa],
Formalizing and Guaranteeing Human-Robot Interaction,
CACM(64), No. 9, September 2021, pp. 78-84.
DOI Link
2109
As robots begin to interact closely with humans, we need to build
systems worthy of trust regarding the safety and quality of the
interaction.
BibRef
Ben-Youssef, A.[Atef],
Clavel, C.[Chloé],
Essid, S.[Slim],
Early Detection of User Engagement Breakdown in Spontaneous
Human-Humanoid Interaction,
AffCom(12), No. 3, July 2021, pp. 776-787.
IEEE DOI
2109
Robots, Electric breakdown, Feature extraction, Predictive models,
Task analysis, Computational modeling, Analytical models,
real-time prediction
BibRef
Demir, M.[Mustafa],
McNeese, N.J.[Nathan J.],
Gorman, J.C.[Jaime C.],
Cooke, N.J.[Nancy J.],
Myers, C.W.[Christopher W.],
Grimm, D.A.[David A.],
Exploration of Teammate Trust and Interaction Dynamics in
Human-Autonomy Teaming,
HMS(51), No. 6, December 2021, pp. 696-705.
IEEE DOI
2112
Automation, Task analysis, Autonomous agents,
Artificial intelligence, Dynamical systems, unmanned air vehicle systems
BibRef
Li, H.[Huao],
Ni, T.[Tianwei],
Agrawal, S.[Siddharth],
Jia, F.[Fan],
Raja, S.[Suhas],
Gui, Y.[Yikang],
Hughes, D.[Dana],
Lewis, M.[Michael],
Sycara, K.[Katia],
Individualized Mutual Adaptation in Human-Agent Teams,
HMS(51), No. 6, December 2021, pp. 706-714.
IEEE DOI
2112
Game theory, Adaptive systems, Teamwork, Human-robot interaction,
Adaptation models, Adaptive systems, human-robot teams,
team performance
BibRef
Bustamante, S.[Samuel],
Peters, J.[Jan],
Schölkopf, B.[Bernhard],
Grosse-Wentrup, M.[Moritz],
Jayaram, V.[Vinay],
ArmSym: A Virtual Human-Robot Interaction Laboratory for Assistive
Robotics,
HMS(51), No. 6, December 2021, pp. 568-577.
IEEE DOI
2112
Rehabilitation robotics, Laboratories, Prosthetics,
Human-robot interaction, Virtual reality, ArmSym,
virtual reality
BibRef
Matarese, M.[Marco],
Sciutti, A.[Alessandra],
Rea, F.[Francesco],
Rossi, S.[Silvia],
Toward Robots' Behavioral Transparency of Temporal Difference
Reinforcement Learning With a Human Teacher,
HMS(51), No. 6, December 2021, pp. 578-589.
IEEE DOI
2112
Humanoid robots, Reinforcement learning, Human-robot interaction,
Human-robot interaction, humanoid robot,
transparency
BibRef
Kanazawa, A.[Akira],
Kinugawa, J.[Jun],
Kosuge, K.[Kazuhiro],
Motion Planning for Human-Robot Collaboration Using an
Objective-Switching Strategy,
HMS(51), No. 6, December 2021, pp. 590-600.
IEEE DOI
2112
Human-robot interaction, Motion planning, Adaptive control,
Trajectory, Collision avoidance,
motion planning
BibRef
Annamalai, R.[Ramanathan],
Dorneich, M.C.[Michael C.],
Tokadli, G.[Güliz],
Evaluating the Effect of Poor Contrast Ratio in Simulated
Sensor-Based Vision Systems on Performance,
HMS(51), No. 6, December 2021, pp. 632-640.
IEEE DOI
2112
Machine vision, Human factors, Human computer interaction, FAA,
Human factors, human-computer interaction, pilot performance,
sensor-based vision system
BibRef
Guy, S.[Sylvain],
Lathuiličre, S.[Stéphane],
Mesejo, P.[Pablo],
Horaud, R.[Radu],
Learning Visual Voice Activity Detection with an Automatically
Annotated Dataset,
ICPR21(4851-4856)
IEEE DOI
2105
Voice activity detection, Training, Visualization,
Face recognition, Deep architecture, Human-robot interaction, Feature extraction
BibRef
Camporese, G.[Guglielmo],
Coscia, P.[Pasquale],
Furnari, A.[Antonino],
Farinella, G.M.[Giovanni Maria],
Ballan, L.[Lamberto],
Knowledge Distillation for Action Anticipation via Label Smoothing,
ICPR21(3312-3319)
IEEE DOI
2105
Training, Visualization, Smoothing methods, Uncertainty, Semantics,
Human-robot interaction, Predictive models
BibRef
Song, Z.Y.[Zi-Yang],
Yin, Z.Y.[Zi-Yi],
Yuan, Z.J.[Ze-Jian],
Zhang, C.[Chong],
Chi, W.C.[Wan-Chao],
Ling, Y.G.[Yong-Gen],
Zhang, S.H.[Sheng-Hao],
Attention-Oriented Action Recognition for Real-Time Human-Robot
Interaction,
ICPR21(7087-7094)
IEEE DOI
2105
Semantics, Pose estimation, Human-robot interaction,
Real-time systems, Skeleton, Mobile robots, Data mining
BibRef
Iashin, V.[Vladimir],
Palermo, F.[Francesca],
Solak, G.[Gökhan],
Coppola, C.[Claudio],
Top-1 Corsmal Challenge 2020 Submission: Filling Mass Estimation Using
Multi-modal Observations of Human-robot Handovers,
CORSMAL20(423-436).
Springer DOI
2103
Code, HRI.
WWW Link. Human-robot object handover.
the robot needs to estimate the filling mass of a container held by a human
BibRef
Ishikawa, R.[Reina],
Nagao, Y.[Yuichi],
Hachiuma, R.[Ryo],
Saito, H.[Hideo],
Audio-visual Hybrid Approach for Filling Mass Estimation,
CORSMAL20(437-450).
Springer DOI
2103
BibRef
Liu, Q.[Qi],
Feng, F.[Fan],
Lan, C.[Chuanlin],
Chan, R.H.M.[Rosa H. M.],
Va2mass: Towards the Fluid Filling Mass Estimation via Integration of
Vision and Audio Learning,
CORSMAL20(451-463).
Springer DOI
2103
BibRef
Song, Z.Y.[Zi-Yang],
Yuan, Z.J.[Ze-Jian],
Zhang, C.[Chong],
Chi, W.C.[Wan-Chao],
Ling, Y.G.[Yong-Gen],
Zhang, S.H.[Sheng-Hao],
Learning End-to-End Action Interaction by Paired-Embedding Data
Augmentation,
ACCV20(VI:191-206).
Springer DOI
2103
robots' responses to human actions.
BibRef
Nazarczuk, M.[Michal],
Mikolajczyk, K.[Krystian],
V2A - Vision to Action:
Learning Robotic Arm Actions Based on Vision and Language,
ACCV20(III:721-736).
Springer DOI
2103
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
Perera, A.G.[Asanka G.],
Law, Y.W.[Yee Wei],
Chahl, J.[Javaan],
UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition,
CVUAV18(II:117-128).
Springer DOI
1905
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 .