Bibliography

The bibliography on the Humaine portal is to become a comprehensive set of references for all aspects of emotion-oriented computing and related thematic areas. As all of emotion-research.net, this collection requires input from the community to work! The portal guide explains how you can contribute references.

to appear

André, E., & Pelachaud, C. (to appear). Interacting with embodied conversational agents. In Fang Chen, Kristiina Jokinen (Ed.), New Trends in Speech Based Interactive Systems. Springer.

Pelachaud, C. (to appear). Studies on gesture expressivity for a virtual agent. Speech Communication, special issue in honor of Bjorn Granstrom and Rolf Carlson:.

Pelachaud, C. (to appear). Embodied conversational agent e.c.a.. In K. R. Scherer, & D. Sander (Ed.), Oxford Companion to the affective sciences. Oxford University Press.

2012

Hammal, Z., & Kunz, M. (2012). Pain monitoring: a dynamic and context-sensitive system . Pattern Recognition: 45 (4), 1265--1280.

2011

Calvo, R.A., & D'Mello, S.K. (2011). New perspectives on affect and learning technologies. New York: Springer.

Chanel, G., Rebetez, C., Betrancourt, M., & Pun, T. (2011). Emotion assessment from physiological signals for adaptation of games difficulty. System Mans and Cybernetics, Part A:.

Hammal, Z. (2011). Efficient detection of consecutive facial expression apices using biologically based log-normal filters.. In George Bebis (Ed.), Advances in Visual Computing, : Lecture Notes in Computer Science (6938/2011 ed., pp. 586--595). Springer Berlin / Heidelberg.

Hammal, Z., & Massot , C. (2011). Gabor-like image filtering for transient feature detection and global energy estimation applied to multi-expression classification. In Richard, Paul; Braz, José (Ed.), Computer Vision, Imaging and Computer Graphics. Theory and Applications: Communications in Computer and Information Science (CCIS 229 ed., pp. 135--153). Springer.

Hussain, M.S., AlZoubi, O., Calvo, R.A., & D’Mello, S.K. (2011). Affect detection from multichannel physiology during learning sessions with autotutor. In Biswas, Gautam and Bull, Susan and Kay, Judy and Mitrovic, Antonija (Ed.), Artificial Intelligence in Education (pp. 131–138). Auckland, New Zealand: Springer, LNCS Vol 6738.

Hussain, M.S., & Calvo, R.A. (2011). Multimodal affect detection from physiological and facial features during its interaction. In Biswas, Gautam and Bull, Susan and Kay, Judy and Mitrovic, Antonija (Ed.), Artificial Intelligence in Education (pp. 472–474). Auckland, New Zealand: Springer, LNCS Vol 6738.

Kleinsmith, A., Bianchi-Berthouze, N., & Steed, A. (2011). Automatic recognition of non-acted affective postures. IEEE Transactions on Systems, Man, and Cybernetics Part B:.

Moridis, C.N., & Economides, A. (2011). Applause as an achievement-based reward during a computerised self-assessment test. British Journal of Educational Technology:.

Osherenko, A. (2011). Opinion mining and lexical affect sensing. computer-aided analysis of opinions and emotions in texts. (Ph.D thesis). Universität Augsburg.

2010

Calvo, R.A., & D'Mello, S. (2010). Affect detection: an interdisciplinary review of models, methods, and their applications. IEEE Transactions on Affective Computing: 1 (1), 18–37.

Hammal, Z. (2010). Context based recognition of pain expression intensities. In Z. Hammal (Ed.), The 5th Workshop on Emotion in Human-Computer Interaction - Real World Challenges - 2009. Fraunhofer VERLAG 2010.

Hammal, Z. (2010). From face to facial expression. In Yu-Jin Zhang (Tsinghua University, China) (Ed.), Advances in Face Image Analysis: Techniques and Technologies (first ed., pp. 217-238). IGI Global.

Hammal, Z., & Massot, C. (2010). Holistic and feature-based information towards dynamic multi-expressions recognition. In Z. Hammal, & C. Massot (Ed.), VISAPP 2010. International Conference on Computer Vision Theory and Applications.

Hammal, Z., & Massot, C. (2010). Holistic and feature-based information towards dynamic multi-expressions recognition. In Z. Hammal, & C. Massot (Ed.). VISAPP 2010.

Moridis, C.N., Klados, M.A., Kokkinakis, I.A., Terzis, V., Economides, A.A., Karlovasitou, A., Bamidis, P.D., & Karabatakis, V.E. (2010). The impact of audio-visual stimulation on alpha brain oscillations: an eeg study. Information Technology and Applications in Biomedicine (ITAB), 2010 10th IEEE International Conference on (pp. 1 -4).

Moridis, C.N., Klados, M.A., Terzis, V., Economides, A.A., Karabatakis, V.E., Karlovasitou, A., & Bamidis, P.D. (2010). Affective learning: empathetic embodied conversational agents to modulate brain oscillations. In Bamidis, Panagiotis D. and Pallikarakis, Nicolas and Magjarevic, Ratko (Ed.), XII Mediterranean Conference on Medical and Biological Engineering and Computing 2010: IFMBE Proceedings (pp. 675-678). Springer Berlin Heidelberg.

Schröder, M. (2010). The semaine api: towards a standards-based framework for building emotion-oriented systems. Advances in Human-Computer Interaction: 2010 (319406).

Sloan, R.J., Robinson, B., Scott-Brown, K., Moore, F., Cook, M., Sloan, R.J., Robinson, B., Scott-Brown, K., Moore, F., & Cook, M. (2010). Choreographing emotional facial expressions. Computer Animation and Virtual Worlds: 21 (3-4), 203-213.

Terzis, V., Moridis, C.N., & Economides, A.A. (2010). Measuring instant emotions during a self-assessment test: the use of facereader. Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research: MB '10 (pp. 18:1–18:4). New York, NY, USA: ACM.

Vartak, A. (2010). Biosignal processing challenges in emotion recognition for adaptive learning (Ph.D thesis). University of Central Florida.

Wu, D., Courtney, C.G., Lance, B.J., Narayanan, S.S., Dawson, M.E., Oie, K.S., & Parsons, T.D. (2010). Optimal arousal identification and classification for affective computing: virtual reality stroop task. IEEE Trans. on Affective Computing: 1 (2), 109-118.

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