21.3.6.1.2 Face Expression Recognition for Human Comupter Interaction

Chapter Contents (Back)
Faces, Expression. Facial Expressions. HCI.

Ando, M.[Mitsuhiro],
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WWW Link. Eye or mouth gesture control. BibRef 9104

Zhu, Y., de Silva, L.C., Ko, C.C.,
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Radial basis functions (RBF); Neural networks; Facial expression recognition; High-dimensional classifiers; Holistic classification; Human-computer interface BibRef

Dornaika, F.[Fadi], Raducanu, B.[Bogdan],
Inferring facial expressions from videos: Tool and application,
SP:IC(22), No. 9, October 2007, pp. 769-784.
Elsevier DOI 0711
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Earlier:
Recognizing Facial Expressions in Videos Using a Facial Action Analysis-Synthesis Scheme,
AVSBS06(8-8).
IEEE DOI 0611
Facial expression recognition; Temporal classifiers; Keyframes; Human machine interaction; AIBO robot BibRef

Raducanu, B.[Bogdan], Dornaika, F.[Fadi],
Texture-independent recognition of facial expressions in image snapshots and videos,
MVA(24), No. 4, May 2013, pp. 811-820.
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Earlier:
Natural Facial Expression Recognition Using Dynamic and Static Schemes,
ISVC09(I: 730-739).
Springer DOI 0911
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Dornaika, F.[Fadi], Raducanu, B.[Bogdan],
Three-Dimensional Face Pose Detection and Tracking Using Monocular Videos: Tool and Application,
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IEEE DOI 0906
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Raducanu, B.[Bogdan], Dornaika, F.[Fadi],
Pose-Invariant Face Recognition in Videos for Human-Machine Interaction,
CVVT12(II: 566-575).
Springer DOI 1210
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Cohen, I.[Ira], Sebe, N.[Nicu], Garg, A.[Ashutosh], Chen, L.S.[Lawrence S.], Huang, T.S.[Thomas S.],
Facial Expression Recognition from Video Sequences: Temporal and Static Modeling,
CVIU(91), No. 1-2, July-August 2003, pp. 160-187.
Elsevier DOI 0309
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Cohen, I.[Ira], Cozman, F.G., Sebe, N., Cirelo, M.C., Huang, T.S.,
Semisupervised Learning of Classifiers: Theory, Algorithms, and Their Application to Human-Computer Interaction,
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IEEE Abstract. 0411
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Earlier: A1, A3, A2, A4, A5:
Learning Bayesian network classifiers for facial expression recognition using both labeled and unlabeled data,
CVPR03(I: 595-601).
IEEE DOI 0307
See also Authentic facial expression analysis. BibRef

d'Mello, S.K., Dowell, N., Graesser, A.,
Unimodal and Multimodal Human Perception of Naturalistic Non-Basic Affective States During Human-Computer Interactions,
AffCom(4), No. 4, October 2013, pp. 452-465.
IEEE DOI 1406
behavioural sciences computing BibRef

d'Mello, S.K.[Sidney K.], Kory, J.[Jacqueline],
A Review and Meta-Analysis of Multimodal Affect Detection Systems,
Surveys(47), No. 3, April 2015, pp. Article No 43.
DOI Link 1506
Affect detection is an important pattern recognition problem that has inspired researchers from several areas. The field is in need of a systematic review due to the recent influx of Multimodal (MM) affect detection systems that differ in several respects and sometimes yield incompatible results. BibRef

Novielli, N., Strapparava, C.,
The Role of Affect Analysis in Dialogue Act Identification,
AffCom(4), No. 4, October 2013, pp. 439-451.
IEEE DOI 1406
behavioural sciences computing BibRef

Whitehill, J., Serpell, Z., Lin, Y., Foster, A., Movellan, J.R.,
The Faces of Engagement: Automatic Recognition of Student Engagement from Facial Expressions,
AffCom(5), No. 1, January 2014, pp. 86-98.
IEEE DOI 1407
Games BibRef

Barakova, E.I., Gorbunov, R., Rauterberg, M.,
Automatic Interpretation of Affective Facial Expressions in the Context of Interpersonal Interaction,
HMS(45), No. 4, August 2015, pp. 409-418.
IEEE DOI 1506
Computers BibRef

Tanisik, G.[Gokhan], Zalluhoglu, C.[Cemil], Ikizler-Cinbis, N.[Nazli],
Facial descriptors for human interaction recognition in still images,
PRL(73), No. 1, 2016, pp. 44-51.
Elsevier DOI 1604
Human interaction recognition BibRef

Batrinca, L., Mana, N., Lepri, B., Sebe, N., Pianesi, F.,
Multimodal Personality Recognition in Collaborative Goal-Oriented Tasks,
MultMed(18), No. 4, April 2016, pp. 659-673.
IEEE DOI 1604
Acoustics BibRef

Tavares, G.[Gonçalo], Mourão, A.[André], Magalhães, J.[João],
Crowdsourcing facial expressions for affective-interaction,
CVIU(147), No. 1, 2016, pp. 102-113.
Elsevier DOI 1605
Affective-interaction BibRef

Cao, N.T.[Nhan Thi], Ton-That, A.H.[An Hoa], Choi, H.I.[Hyung-Il],
An effective facial expression recognition approach for intelligent game systems,
IJCVR(6), No. 3, 2016, pp. 223-234.
DOI Link 1608
BibRef

Han, J.H., Lee, S.J., Kim, J.H.,
Behavior Hierarchy-Based Affordance Map for Recognition of Human Intention and Its Application to Human-Robot Interaction,
HMS(46), No. 5, October 2016, pp. 708-722.
IEEE DOI 1610
control engineering computing BibRef

Chi, J.[Jing], Gao, S.S.[Shan-Shan], Zhang, C.M.[Cai-Ming],
Interactive facial expression editing based on spatio-temporal coherency,
VC(33), No. 6-8, June 2017, pp. 981-991.
WWW Link. 1706
BibRef


Shibasaki, Y.[Yasuhiro], Funakoshi, K.[Kotaro], Shinoda, K.[Koichi],
Boredom Recognition Based on Users' Spontaneous Behaviors in Multiparty Human-Robot Interactions,
MMMod17(I: 677-689).
Springer DOI 1701
BibRef

Bhaskar, H.[Harish], La Torre, D.[Davide], Al-Mualla, M.[Mohammed],
Posed Facial Expression Detection Using Reflection Symmetry and Structural Similarity,
ICIAR15(218-228).
Springer DOI 1507
BibRef

Aly, A., Tapus, A.,
Towards an online fuzzy modeling for human internal states detection,
ICARCV12(1563-1570).
IEEE DOI 1304
BibRef

Castillo, G.[Gonzalo], Avendaño, S.[Santiago], Goussies, N.A.[Norberto Adrián],
An Human-computer Interface Using Facial Gestures for the Game of Truco,
CIARP12(276-283).
Springer DOI 1209
BibRef

Sun, X.F.[Xiao-Fan], Nijholt, A.[Anton], Truong, K.P.[Khiet P.], Pantic, M.[Maja],
Automatic visual mimicry expression analysis in interpersonal interaction,
CVPR4HB11(40-46).
IEEE DOI 1106
BibRef

Lang, C.[Christian], Wachsmuth, S.[Sven], Wersing, H.[Heiko], Hanheide, M.[Marc],
Facial expressions as feedback cue in human-robot interaction: A comparison between human and automatic recognition performances,
CVPR4HB10(79-85).
IEEE DOI 1006
BibRef

Wimmer, M.[Matthias], MacDonald, B.A.[Bruce A.], Jayamuni, D.[Dinuka], Yadav, A.[Arpit],
Facial Expression Recognition for Human-Robot Interaction: A Prototype,
RobVis08(139-152).
Springer DOI 0802
See also Markerless Augmented Reality for Robotic Helicoptor Applications. BibRef

Kobayashi, T., Ogawa, Y., Kato, K., Yamamoto, K.,
Expression learning and recognition system for a family robot,
CRV04(259-264).
IEEE DOI 0408
BibRef
And:
Learning system of human facial expression for a family robot,
AFGR04(481-486).
WWW Link. 0411
BibRef

Hong, H., Neven, H., von der Malsburg, C.[Christoph],
Online Facial Expression Recognition Based on Personalized Galleries,
AFGR98(354-359).
IEEE DOI BibRef 9800

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Applied Face Expression Recognition, Specific Expressions .


Last update:Nov 18, 2017 at 20:56:18