M. Dahmane and J. Meunier, Continuous emotion recognition using gabor energy _lters, Proc. of Affective Computing and Intelligent Interaction (ACII'11), pp.351-358, 2011.

S. Dawson, L. Heathcote, and G. Poole, Harnessing ICT potential, International Journal of Educational Management, vol.24, issue.2, pp.116-128, 2010.
DOI : 10.1108/09513541011020936

P. Ekman, Facial expression and emotion., American Psychologist, vol.48, issue.4, p.384, 1993.
DOI : 10.1037/0003-066X.48.4.384

P. Ekman and W. Friesen, Facial action coding system: A technique for the measurement of facial action. Manual for the Facial Action Coding System, 1978.

J. Fontaine, K. Scherer, E. Roesch, and P. Ellsworth, The World of Emotions is not Two-Dimensional, Psychological Science, vol.43, issue.12, p.1050, 2007.
DOI : 10.1037//0022-3514.77.3.600

R. Greenleaf, Motion and Emotion in Student Learning, Principal Leadership, 2003.

H. Gunes and M. Pantic, Dimensional Emotion Prediction from Spontaneous Head Gestures for Interaction with Sensitive Artificial Listeners, Proc. of Intelligent Virtual Agents (IVA'10), pp.371-377, 2010.
DOI : 10.1007/978-3-642-15892-6_39

H. Gunes, B. Schuller, M. Pantic, and R. Cowie, Emotion representation, analysis and synthesis in continuous space: A survey, Face and Gesture 2011, pp.827-834, 2011.
DOI : 10.1109/FG.2011.5771357

B. Jiang, M. Valstar, and M. Pantic, Action unit detection using sparse appearance descriptors in space-time video volumes, Face and Gesture 2011, pp.314-321, 2011.
DOI : 10.1109/FG.2011.5771416

B. Kort, R. Reilly, and R. W. Picard, An affective model of interplay between emotions and learning: reengineering educational pedagogy-building a learning companion, Proceedings IEEE International Conference on Advanced Learning Technologies, pp.43-46, 2001.
DOI : 10.1109/ICALT.2001.943850

D. Mcduff, R. Kaliouby, K. Kassam, and R. Picard, Affect valence inference from facial action unit spectrograms, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Workshops, pp.43-46, 2010.
DOI : 10.1109/CVPRW.2010.5543833

G. Mckeown, M. Valstar, R. Cowie, and M. Pantic, The SEMAINE corpus of emotionally coloured character interactions, 2010 IEEE International Conference on Multimedia and Expo, pp.1079-1084, 2010.
DOI : 10.1109/ICME.2010.5583006

H. Meng and N. Bianchi-berthouze, Naturalistic affective expression classification by a multi-stage approach based on hidden markov models, Proc. of Affective Computing and Intelligent Interaction (ACII'11), pp.378-387, 2011.

E. Nadaraya, On Estimating Regression, Theory of Probability & Its Applications, vol.9, issue.1, pp.141-142, 1964.
DOI : 10.1137/1109020

M. Nicolaou, H. Gunes, and M. Pantic, Automatic segmentation of spontaneous data using dimensional labels from multiple coders, Workshop on Multimodal Corpora: Advances in Capturing, Coding and Analyzing Multimodality, pp.43-48, 2010.

M. Nicolaou, H. Gunes, and M. Pantic, Output-associative RVM regression for dimensional and continuous emotion prediction, Image and Vision Computing, vol.30, issue.3, pp.186-196, 2012.
DOI : 10.1016/j.imavis.2011.12.005

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.371.3142

J. Nicolle, V. Rapp, K. Bailly, L. Prevost, and M. Chetouani, Robust continuous prediction of human emotions using multiscale dynamic cues, Proceedings of the 14th ACM international conference on Multimodal interaction, ICMI '12, pp.501-508, 2012.
DOI : 10.1145/2388676.2388783

R. W. Picard, Affective computing, 1997.
DOI : 10.1037/e526112012-054

A. Paramythis and S. Loidl-reisinger, Adaptive Learning Environments and e-Learning Standards, Proceedings of the 2nd European Conference on e-Learning (ECEL2003), pp.369-379, 2003.

G. Ramirez, T. Baltrusaitis, and L. Morency, Modeling Latent Discriminative Dynamic of Multi-dimensional Affective Signals, Proc. of Affective Computing and Intelligent Interaction (ACII'11), pp.396-406, 2011.
DOI : 10.1007/978-3-642-24571-8_51

J. M. Saragih, S. Lucey, and J. F. Cohn, Deformable Model Fitting by Regularized Landmark Mean-Shift, International Journal of Computer Vision, vol.27, issue.1, pp.200-215, 2010.
DOI : 10.1007/s11263-010-0380-4

A. Savran, H. Cao, M. Shah, A. Nenkova, and R. Verma, Combining video, audio and lexical indicators of affect in spontaneous conversation via particle filtering, Proceedings of the 14th ACM international conference on Multimodal interaction, ICMI '12, pp.485-492, 2012.
DOI : 10.1145/2388676.2388781

A. Sayedelahl, P. Fewzee, M. Kamel, and F. Karray, Audio-based emotion recognition from natural conversations based on cooccurrence matrix and frequency domain energy distribution features, Proc. of Affective Computing and Intelligent Interaction (ACII'11), pp.407-414, 2011.

B. Schuller, M. Valstar, F. Eyben, G. Mckeown, R. Cowie et al., AVEC 2011???The First International Audio/Visual Emotion Challenge, Proc. of Affective Computing and Intelligent Interaction (ACII'11), pp.415-424, 2011.
DOI : 10.1007/978-3-642-24571-8_53

B. Schuller, M. Valstar, F. Eyben, R. Cowie, and M. Pantic, AVEC 2012, Proceedings of the 14th ACM international conference on Multimodal interaction, ICMI '12, pp.361-362, 2012.
DOI : 10.1145/2388676.2388758

T. Senechal, V. Rapp, H. Salam, R. Seguier, K. Bailly et al., Facial Action Recognition Combining Heterogeneous Features via Multikernel Learning, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol.42, issue.4, pp.993-1005, 2012.
DOI : 10.1109/TSMCB.2012.2193567

URL : https://hal.archives-ouvertes.fr/hal-00731864

C. Soladie, H. Salam, C. Pelachaud, N. Stoiber, and R. Seguier, A multimodal fuzzy inference system using a continuous facial expression representation for emotion detection, Proceedings of the 14th ACM international conference on Multimodal interaction, ICMI '12, pp.493-500, 2012.
DOI : 10.1145/2388676.2388782

URL : https://hal.archives-ouvertes.fr/hal-00771404

M. Valstar, M. Mehu, B. Jiang, and M. Pantic, Meta-Analysis of the First Facial Expression Recognition Challenge, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol.42, issue.4, pp.966-979, 2012.
DOI : 10.1109/TSMCB.2012.2200675

M. Wollmer, M. Kaiser, F. Eyben, and B. Schuller, LSTM-Modeling of continuous emotions in an audiovisual affect recognition framework, Image and Vision Computing, vol.31, issue.2, 2012.
DOI : 10.1016/j.imavis.2012.03.001