Guillaume Chanel

CUI - University of Geneva
Battelle Bat. A
7, route de Drize
1227 Carouge 4
Switzerland
Phone: +41 (22) 379 0183
Fax: +41 (22) 379 0250
Secretary: +41 (22) 379 0223
E-mail: guillaume[.]chanel[at]unige[.]ch
Office: #227

• Senior researcher, MMI team, CISA

Guillaume Chanel obtained an engineering diploma and an MSc degrees in computing and robotics from IMERIR and University of Montpellier, France, in 2002. He obtained his Ph.D. degree in computer science in 2009 at the the University of Geneva where he worked on the automatic assessment of emotions based on EEG and peripheral signals. From 2009 to 2010 he has been a researcher at the KML-Knowledge Media Laboratory, Aalto University, Helsinki, Finland and he is now researcher at the the Computer Vision and Multimedia Laboratory (CVML) and at the Swiss Center for Affective Sciences. His research interests concern the use of physiological measures for improving man-machine interaction. More specifically he is interested in the dynamic adjustment of games mechanic based on players emotions and the inclusion of emotional cues in mediated social interactions.

Since emotions are part of any communication involving human, it is clear that human computer interfaces can benefit from emotion assessment of the user to better react or adapt to his mood. Many studies have invested the use of video or speech to capture facial expressions and emotional states but we believe that physiological signals have the following advantages:

• since physiological sensors are directly placed on the body it can help to reduce noise and problems due to the unavailability of the signal (user not turning the head in front of the camera or not speaking);
• they have very good time responses, for instance muscle activity can be detected earlier by using electromyography (EMG) than by using a camera;
• they are harder to control, it is thus harder to fake an emotion;
• they are usable even in the case of impaired users that cannot move facial muscles or express themselves.

From this point of view, we started to invest the use of these signals for emotion detection. EEG is of particular interest because of the cognitive nature of emotions.

We designed several acquisition protocols and use features from signals of both the peripheral and central nervous system to perform emotional classification tasks. This imply the use of machine learning and pattern recognition algorithms such as LDA, SVM, RVM,… Many fusion strategies between the different signals are also investigated.

Reviewer for:

• IEEE Transactions on Biomedical Engineering
• IEEE Transactions on Systems, Man, and Cybernetics
• IEEE Transactions on Affective Computing
• ACM Transations on Interactive Intelligent Systems
• Interacting with Computers
• Cognitive Computation
• Affective Computing and Intelligent Interaction conference

• 2007 - 2008 “Types et structures de données”
  
  • the different type of programming structures and related algorithms are investigated using the Pascal language:
    • lists, stacks, rings, …
    • trees and graphs.
• 2007 “Technologie des ordinateurs”
  • the sofware used in this course : Cedar Logic
  • for a list of other logic simulation softwares : click here
• 2004-2008 office automation softwares (Soprotec)
  • Access, Excel, Word, Outlook, …

[2009, phdthesis| Download] (BIB)

Chanel, G. ((2009). Emotion assessment for affective-computing based on brain and peripheral signals.). Unpublished PhD Thesis.

[2011, article| URL] (BIB)

Chanel, G., Rebetez, C., Bétrancourt, M., & Pun, T. (2011). Emotion Assessment From Physiological Signals for Adaptation of Game Difficulty. Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 41(6), 1052-1063.

[2009, article| URL] (BIB)

Chanel, G., Kierkels, J. J. M., Soleymani, M., & Pun, T. (2009). Short-term emotion assessment in a recall paradigm. International Journal of Human-Computer Studies, 67(8), 607-627.

[2009, article| Download] (BIB)

Soleymani, M., Chanel, G., Kierkels, J. J. M., & Pun, T. (2009). Affective Characterization of Movie Scenes Based on Content Analysis and Physiological Changes. International Journal of Semantic Computing, 3(2), 235-254.

[2007, article] (BIB)

Kronegg, J., Chanel, G., Voloshynovskiy, S., & Pun, T. (2007). EEG-based synchronized brain-computer interfaces: a model for optimizing the number of mental tasks. IEEE transactions on neural systems and rehabilitation engineering, 15(1).

[2006, article] (BIB)

Pun, T., Alecu, T. I., Chanel, G., & Voloshynovskiy, S. (2006). Brain-computer interaction research at the Computer Vision and Multimedia Laboratory, University of Geneva. IEEE transactions on neural systems and rehabilitation engineering, Special Issue on Brain-Computer Interaction, 14(2).

[2009, inproceedings| Download] (BIB)

Soleymani, M., Kierkels, J. J. M., Chanel, G., & Pun, T. (2009). A Bayesian Framework for Video Affective Representation. Paper presented at the Proceedings of the International Conference on Affective Computing and Intelligent interaction, Amsterdam, Netherlands.

[2008, inproceedings] (BIB)

Soleymani, M., Chanel, G., Kierkels, J., & Pun, T. (2008). Affective Ranking of Movie Scenes Using Physiological Signals and Content Analysis. Paper presented at the 2nd ACM Workshop on the Many Faces of Multimedia Semantics, ACM MM08, Vacnouver, Canada.

[2008, inproceedings] (BIB)

Soleymani, M., Chanel, G., Kierkels, J., & Pun, T. (2008). Affective Characterization of Movie Scenes Based on Multimedia Content Analysis and User's Physiological Emotional Responses. Paper presented at the IEEE International Symposium on Multimedia, Berkeley, US.

[2008, inproceedings] (BIB)

Chanel, G., Rebetez, C., Betrancourt, M., & Pun, T. (2008). Boredom, engagement and anxiety as indicators for adaptation to difficulty in games. Paper presented at the ACM Mindtrek conference, Tampere, Finland.

[2007, inproceedings] (BIB)

Ansari-Asl, K., Chanel, G., & Pun, T. (2007). A channel selection method for EEG classification in emotion assessment based on synchronization likelihood. Paper presented at the Proceedings of the 15th European Signal Processing Conference, Poznan, Poland.

[2007, inproceedings] (BIB)

Chanel, G., Ansari-Asl, K., & Pun, T. (2007). Valence-arousal evaluation using physiological signals in an emotion recall paradigm. Paper presented at the Proceedings of the IEEE SMC and International Conference on Systems, Man and Cybernetics, Smart cooperative systems and cybernetics: advancing knowledge and security for humanity, Montreal, Canada.

[2006, inproceedings] (BIB)

Savran, A., Ciftci, K., Chanel, G., Mota, J. C., Viet, L. H., & Sankur, B., et al. (2006). Emotion Detection in the Loop from Brain Signals and Facial Images. Paper presented at the Proceedings of the eNTERFACE 2006 Workshop, Dubrovnik, Croatia.

[2006, inproceedings] (BIB)

Alexandre Benoit Laurent Bonnaud, A. C. P. N. L. L. D. T. V. L. C. M. G. C. G. (2006). Multimodal Focus Attention and Stress Detection and feedback in an Augmented Driver Simulator. Paper presented at the 3rd IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI)), Athens, Greece.

[2006, inproceedings] (BIB)

Chanel, G., Kronegg, J., Grandjean, D., & Pun, T. (2006). Emotion assessment: Arousal evaluation using EEG's and peripheral physiological signals. Paper presented at the Proc. Int. Workshop Multimedia Content Representation, Classification and Security (MRCS), Special Session: Multimodal Signal Processing, Istanbul, Turkey.

[2005, inproceedings] (BIB)

Pun, T., Alecu, T. I., Chanel, G., Kronegg, J., & Voloshynovskiy, S. (2005). Research in Brain-computer interaction, Multimodal Interaction Group, Computer Vision and Multimedia Laboratory, University of Geneva. Paper presented at the BCI 2005, Brain-Computer Interface Technology: Third International Meeting, Rensselaerville, NY, USA.

[2005, inproceedings] (BIB)

Kronegg, J., Alecu, T., Chanel, G., Voloshynovskiy, S., & Pun, T. (2005). Analyse des mesures de débit pour interfaces cerveau-ordinateur. Paper presented at the TAIMA'2005, Traitement et Analyse de l'Information : Méthodes et Applications, Hammamet, Tunisia.

[2008, misc] (BIB)

Soleymani, M., Chanel, G., Kierkels, J., & Pun, T. (2008). Valence-Arousal Representation of Movie Scenes Based on Multimedia Content Analysis and User's Physiological Emotional Responses.

[2007, misc] (BIB)

Chanel, G., Ansari-Asl, K., & Pun, T. (2007). From thoughts to emotions: emotional state assessment using physiological recordings. Basel, Switzerland.

[2007, misc] (BIB)

Ansari-Asl, K., Chanel, G., & Pun, T. (2007). A Channel selection method for EEG classification in emotion assessment based on synchronization likelihood. University of Magdeburg, Germany.

[2006, misc] (BIB)

Chanel, G., Kronegg, J., Grandjean, D., Alecu, T. I., & Pun, T. (2006). Pattern recognition in peripheral and central signaling. Genova, Italy.

[2006, misc] (BIB)

Chanel, G., Kronegg, J., Grandjean, D., & Pun, T. (2006). Emotion assessment using physiological signals. Heraklion, Greece.

[2006, misc] (BIB)

Kronegg, J., Chanel, G., Voloshynovskiy, S., & Pun, T. (2006). Information-transfer rate based performance optimization for brain-computer interfaces. Heraklion, Greece.

[2005, misc] (BIB)

Chanel, G., Kronegg, J., & Pun, T. (2005). Emotion assessment using physiological signals. Barcelona, Spain.

[2005, techreport| Download] (BIB)

Chanel, G., Kronegg, J., Grandjean, D., & Pun, T. (2005). Emotion Assessment: Arousal Evaluation Using EEG's and Peripheral Physiological Signals Computer Vision and Multimedia Laboratory, Computing Centre, University of Geneva.

[2005, techreport] (BIB)

Pun, T., Alecu, T. I., Chanel, G., Kronegg, J., & Voloshynovskiy, S. (2005). Brain-computer interaction research at the Computer Vision and Multimedia Laboratory, University of Geneva (No. 05.01). Rue Général Dufour, 24, CH-1211, Geneva, Switzerland: Computer Vision and Multimedia Laboratory, Computing Centre, University of Geneva.

[2005, techreport] (BIB)

Pun, T., Alecu, T. I., Chanel, G., Kronegg, J., & Voloshynovskiy, S. (2005). Research in Brain-computer interaction, Multimodal Interaction Group, Computer Vision and Multimedia Laboratory, University of Geneva (No. 05.01). Technical report TR0501, Computer Science Department, University of Geneva.