Bimodal emotion recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6414 LNAI, Issue , 2010, Pages 305-314

  Paleari, Marco ^a,b   Chellali, Ryad ^a   Huet, Benoit ^b  

^a ISTITUTO ITALIANO DI TECNOLOGIA   (Italy)

^b EURECOM   (France)

Author keywords

affective computing; Emotion recognition; facial expressions; HRI; prosody; vocal expressions

Indexed keywords

AFFECTIVE COMPUTING; EMOTION RECOGNITION; FACIAL EXPRESSIONS; HRI; PROSODY; VOCAL EXPRESSION;

HUMAN COMPUTER INTERACTION; ROBOTICS;

HUMAN ROBOT INTERACTION;

EID: 78649974590     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17248-9_32     Document Type: Conference Paper

References (18)

1. Boersma, P., Weenink, D.: Praat: doing phonetics by computer (January 2008), http://www.praat.org/
2. Datcu, D., Rothkrantz, L.: Semantic audio-visual data fusion for automatic emotion recognition. In: Euromedia 2008, Porto (2008)
3. Davidson, R., Scherer, K., Goldsmith, H.: The Handbook of Affective Science. Oxford University Press, Oxford (March 2002)
4. Ekman, P., Friesen, W.V.: A new pan cultural facial expression of emotion. Motivation and Emotion 10(2), 159-168 (1986)
5. Lee, C.-H.J., Kim, K., Breazeal, C., Picard, R.: Shybot: friend-stranger interaction for children living with autism. In: CHI 2008: CHI 2008 Extended Abstracts on Human Factors in Computing Systems, Florence, Italy, pp. 3375-3380. ACM, New York (2008)
6. Marsella, S., Gratch, J.: Ema: A process model of appraisal dynamics. Cognitive Systems Research 10(1), 70-90 (2009)
7. Martin, O., Kotsia, I., Macq, B., Pitas, I.: The eNTERFACE 2005 Audio-Visual Emotion Database. In: Proceedings of the 22nd International Conference on Data Engineering Workshops (ICDEW 2006). IEEE, Los Alamitos (2006)
8. Noble, J.: Spoken emotion recognition with support vector machines. PhD Thesis (2003)
9. Paleari, M., Benmokhtar, R., Huet, B.: Evidence theory based multimodal emotion recognition. In: Huet, B., Smeaton, A., Mayer-Patel, K., Avrithis, Y. (eds.) MMM 2009. LNCS, vol. 5371, Springer, Heidelberg (2009)
10. Paleari, M., Chellali, R., Huet, B.: Features for multimodal emotion recognition: An extensive study. In: Proceedings of IEEE CIS 2010 Intl. Conf. on Cybernetics and Intelligence Systems, Singapore (June 2010)
11. Paleari, M., Huet, B.: Toward Emotion Indexing of Multimedia Excerpts. In: CBMI 2008 Sixth International Workshop on Content-Based Multimedia Indexing, London. IEEE, Los Alamitos (June 2008)
12. Paleari, M., Huet, B., Chellali, R.: Towards multimodal emotion recognition: A new approach. In: Proceedings of ACM CIVR 2010 Intl. Conf. Image and Video Retrieval, Xi'An, China (July 2010)
13. Poggi, I., Pelachaud, C., de Rosis, F., Carofiglio, V., de Carolis, B.: GRETA. A Believable Embodied Conversational Agent, pp. 27-45. Kluwer, Dordrecht (2005)
14. Sapient Nitro, C.: Share happy, project webpage (June 2010), http://www.sapient.com/en-us/SapientNitro/Work.html#/?project=157
15. Sohail, A., Bhattacharya, P.: Detection of Facial Feature Points Using Anthropometric Face Model. In: Signal Processing for Image Enhancement and Multimedia Processing, vol. 31, pp. 189-200. Springer, US (2007)
16. Tomasi, C., Kanade, T.: Detection and tracking of point features, CMU-CS-91-132 (April 1991)
17. Viola, P., Jones, M.: Robust real-time object detection. International Journal of Computer Vision (2001)
18. Zeng, Z., Pantic, M., Roisman, G., Huang, T.S.: A survey of affect recognition methods: Audio, visual, and spontaneous expressions. IEEE Transaction on Pattern Analysis and Machine Intelligence 31(1), 39-58 (2009)