Emotion recognition using bimodal data fusion

ACM International Conference Proceeding Series

Volumn 578, Issue , 2011, Pages 122-128

  Datcu, Dragoş ^a   Rothkrantz, Léon J M ^a  

^a NONE

Author keywords

bimodal data fusion; emotion recognition

Indexed keywords

ACOUSTIC CHANNELS; BI-MODAL DATA; BIMODAL SYSTEMS; EMOTION RECOGNITION; RECOGNITION SYSTEMS; TEMPORAL DYNAMICS;

DATA FUSION; FACE RECOGNITION; HIDDEN MARKOV MODELS;

SPEECH RECOGNITION;

EID: 80052816547     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2023607.2023629     Document Type: Conference Paper

References (13)

1. Caridakis, G., L. Malatesta, L. Kessous, N. Amir, A. Raouzaiou, K. Karpouzis. Modeling naturalistic affective states via facial and vocal expressions recognition. In ICMI '06: Proceedings of the 8th international conference on Multimodal interfaces, pages 146-154, New York, NY, USA, 2006.
2. Ekman, P., W.V. Friesen. Facial action coding system: investigator's guide. Consulting Psychologists Press, Palo Alto, 1978.
3. Fellenz, W. A., J.G. Taylor, R. Cowie, E.D. Cowie, F. Piat, S.D. Kollias, C. Orovas, B. Apolloni. On emotion recognition of faces and of speech using neuralnetworks, fuzzy logic and the assess system. In Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN'00, 2000.
4. Freund, Y., R. E. Schapire. A decision-theoretic generalization of online learning and an application to boosting. Journal of Computer and System Science, 55:119-139, 1997. (Pubitemid 127433398)
5. Han, M.J., J.H. Hsu, K.T. Song, F.Y. Chang. A new information fusion method for bimodal robotic emotion recognition. JCP, 3(7):39-47, 2008.
6. Martin, O., I. Kotsia, B. Macq, I. Pita. The eNTERFACE' 05 Audio-Visual Emotion Database. In 22nd International Conference on Data Engineering Workshops. ICDEW'06, page 8, 2006.
7. Ojala,T., M. Pietikainen, T. Maenpaa. Multiresolution grayscale and rotation invariant texture classification with local binary patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(7):971-987, 2002. (Pubitemid 34835471)
8. Paleari, M., C.L. Lisetti. Toward multimodal fusion of affective cues. In Proceedings of the 1st ACM international workshop on Human-centered multimedia, pages 99-108, 2006.
9. Paleari, M., B. Huet. Toward emotion indexing of multimedia excerpts. In Content-Based Multimedia Indexing, 2008. CBMI 2008. International Workshop on, pages 425-432, June 2008.
10. Sebe N., I. Cohen, T. Gevers, T.S. Huang. Emotion recognition based on joint visual and audio cues. Pattern Recognition, International Conference on, 1:1136-1139, 2006.
11. Song, M., J. Bu, C. Chen, N. Li. Audio-visual based emotion recognition, a new approach. Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, 2:1020-1025, 2004.
12. Wimmer, M., B. Schuller, D. Arsic, B. Radig, G. Rigoll. Low-level fusion of audio and video feature for multi-modal emotion recognition. In 3rd International Conference on Computer Vision Theory and Applications. VISAPP, volume 2, pages 145-151, Madeira, Portugal, January 2008.
13. Zeng, Z., Y. Hu, G. I. Roisman, Z. Wen, Y. Fu, T. S. Huang. Audio-visual spontaneous emotion recognition. In Artifical Intelligence for Human Computing, volume 4451 of Lecture Notes in Computer Science, pages 72-90. Springer, 2007.