L. Fogassi, P. Ferrari, B. Gesierich, S. Rozzi, F. Chersi et al., Parietal Lobe: From Action Organization to Intention Understanding, Science, vol.308, issue.5722, pp.662-667, 2005.
DOI : 10.1126/science.1106138

V. Gallese, L. Fadiga, L. Fogassi, and G. Rizzolatti, Action recognition in the premotor cortex, Brain, vol.119, issue.2, pp.593-609, 1996.
DOI : 10.1093/brain/119.2.593

L. Schaffler, H. Luders, D. Dinner, R. Lesser, and G. Chelune, Comprehension deficits elicited by electrical stimulation of Broca's area, Brain, vol.116, issue.3, pp.695-715, 1993.
DOI : 10.1093/brain/116.3.695

V. Gazzola and C. Keysers, The Observation and Execution of Actions Share Motor and Somatosensory Voxels in all Tested Subjects: Single-Subject Analyses of Unsmoothed fMRI Data, Cerebral Cortex, vol.19, issue.6, pp.1239-1255, 2009.
DOI : 10.1093/cercor/bhn181

M. Iacoboni, R. Woods, M. Brass, H. Bekkering, J. Mazziotta et al., Cortical Mechanisms of Human Imitation, Science, vol.286, issue.5449, pp.2526-2528, 1999.
DOI : 10.1126/science.286.5449.2526

V. Ramachandran, Mirror neurons and imitation learning as the driving force behind " the great leap forward " in human evolution, p.69, 2000.

G. Rizzolatti, L. Fogassi, and V. Gallese, Neurophysiological mechanisms underlying the understanding and imitation of action, Nature Reviews Neuroscience, vol.2, issue.9, pp.661-670, 2001.
DOI : 10.1038/35090060

G. Rizzolatti and M. Arbib, Language within our grasp, Trends in Neurosciences, vol.21, issue.5, pp.188-194, 1998.
DOI : 10.1016/S0166-2236(98)01260-0
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.169.2919

V. Gallese and A. Goldman, Mirror neurons and the simulation theory of mind-reading, Trends in Cognitive Sciences, vol.2, issue.12, pp.493-500, 1998.
DOI : 10.1016/S1364-6613(98)01262-5

V. Ramachandran and L. Oberman, Broken Mirrors: A Theory of Autism, Scientific American, vol.295, issue.5, pp.62-69, 2006.
DOI : 10.1038/scientificamerican1106-62

G. Ojemann, J. Ojemann, E. Lettich, and M. Berger, Cortical language localization in left, dominant hemisphere, Journal of Neurosurgery, vol.71, issue.3, pp.316-326, 1989.
DOI : 10.3171/jns.1989.71.3.0316

A. Whiten and R. Ham, On the Nature and Evolution of Imitation in the Animal Kingdom: Reappraisal of a Century of Research, Advances in the Study of Behavior, pp.239-283, 1992.
DOI : 10.1016/S0065-3454(08)60146-1

A. Whiten, D. Custance, J. Gomez, P. Teixidor, and K. Bard, Imitative learning of artificial fruit processing in children (homo sapiens) and chimpanzees (pan troglodytes) Comparative Psychology, pp.110-113, 1996.

A. Whiten, Imitation of sequential and hierarchical structure in action: Experimental studies with children and chimpanzees, Imitation in Animals and Artifacts, pp.191-209, 2002.

M. Tomasello, M. Davis-dasilva, L. Camak, and K. Bard, Observational learning of tool-use by young chimpanzees, Human Evolution, vol.8, issue.2, pp.175-183, 1987.
DOI : 10.1007/BF02436405

M. Tomasello, Emulation learning and cultural learning, Behavioral and Brain Sciences, vol.21, issue.5, pp.703-704, 1998.
DOI : 10.1017/S0140525X98441748
URL : http://hdl.handle.net/11858/00-001M-0000-0010-0A89-3

D. Wood, Social interaction as tutoring, Interaction in Human Development, p.5980, 1989.

A. Whiten, The scope of culture in chimpanzees, humans and ancestral apes, Philosophical Transactions of the Royal Society, vol.366, pp.935-1187, 2011.

B. Galef, The question of animal culture, Human Nature, vol.149, issue.2, pp.157-178, 1992.
DOI : 10.1007/BF02692251

C. Heyes, Imitation, culture and cognition, Animal Behaviour, vol.46, issue.5, pp.999-1010, 1993.
DOI : 10.1006/anbe.1993.1281

M. Tomasello, E. Savage-rumbaugh, and A. Kruger, Imitative Learning of Actions on Objects by Children, Chimpanzees, and Enculturated Chimpanzees, Child Development, vol.64, issue.6, pp.1688-1705, 1993.
DOI : 10.2307/1131463

D. Buchsbaum, T. Griffiths, A. Gopnik, and D. Baldwin, Learning from actions and their consequences: Inferring causal variables from continuous sequences of human action, Proceedings of the 31st Annual Conference of the Cognitive Science Society, 2009.

D. Buchsbaum, K. Canini, and T. Griffiths, Segmenting and recognizing human action using low-level video, Proceedings of the 33rd Annual Conference of the Cognitive Science Society, 2011.

J. Tani, Learning to generate articulated behavior through the bottom-up and the top-down interaction processes, Neural Networks, vol.16, issue.1, pp.11-23, 2003.
DOI : 10.1016/S0893-6080(02)00214-9

J. Tani, M. Ito, and Y. Sugita, Self-organization of distributedly represented multiple behavior schemata in a mirror system: reviews of robot experiments using RNNPB, Neural Networks, vol.17, issue.8-9, p.12731289, 2004.
DOI : 10.1016/j.neunet.2004.05.007

S. Issar and W. Ward, Cmu's robust spoken language understanding system, Proceedings of the 3rd European Conference on Speech Communication and Technology (EUROSPEECH), 1993.

S. Bennacef, H. Bonnea-maynard, J. Gauvain, L. Lamel, and W. Minker, A spoken language system for information retrieval, Proceedings of the 3rd International Conference on Spoken Language Processing (ICSLP), 1994.

S. Miller, R. Bobrow, R. Schwartz, and R. Ingria, Statistical language processing using hidden understanding models, Proceedings of the workshop on Human Language Technology , HLT '94, 1994.
DOI : 10.3115/1075812.1075874
URL : http://acl.ldc.upenn.edu/H/H94/H94-1053.pdf

E. Levin and R. P. , Concept-based spontaneous speech understanding system, Proceedings of the 4th European Conference on Speech Communication and Technology (EUROSPEECH), 1995.

E. Goldberg, N. Driedger, and R. Kittredge, Using natural-language processing to produce weather forecasts, IEEE Expert, vol.9, issue.2, p.4553, 1994.
DOI : 10.1109/64.294135

S. Busemann, Ten years after: An update on tg/2 (and friends), Proceedings of the European Natural Language Generation Workshop, 2005.

S. Mcroy, S. Channarukul, and S. Ali, An augmented templatebased approach to text realization, Natural Language Engineering, vol.9, p.381420, 2003.

A. Bateman, Enabling technology for multilingual natural language generation: The kmpl development, Natural Language Engineering, vol.3, p.1555, 1997.

B. Lavoie and O. Rambow, A fast and portable realizer for text generation systems, Proceedings of the fifth conference on Applied natural language processing -, 1997.
DOI : 10.3115/974557.974596

G. Gergely, What should a robot learn from an infant? Mechanisms of action interpretation and observational learning in infancy, Connection Science, vol.415, issue.4, pp.191-209, 2003.
DOI : 10.1111/1467-9280.00218

H. Kozima, C. Nakagawa, and H. Yano, Emergence of imitation mediated by objects, Proceedings of the 2nd International Workshop on Epigenetic Robotics, 2002.

M. Rudolph, M. Muhlig, M. Gienger, and H. Bohme, Learning the Consequences of Actions: Representing Effects as Feature Changes, 2010 International Conference on Emerging Security Technologies, 2010.
DOI : 10.1109/EST.2010.9

I. Murray and J. Arnott, Toward the simulation of emotion in synthetic speech: A review of the literature on human vocal emotion, The Journal of the Acoustical Society of America, vol.93, issue.2, pp.1097-1108, 1993.
DOI : 10.1121/1.405558

J. Cahn, Generating expression in synthesized speech, 1990.

D. Roy and A. Pentland, Automatic spoken affect classification and analysis, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition, 1996.
DOI : 10.1109/AFGR.1996.557292

M. Slaney and G. Mcroberts, Baby Ears: a recognition system for affective vocalizations, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), 1998.
DOI : 10.1109/ICASSP.1998.675432

C. Breazeal and L. Aryananda, Recognition of affective communicative intent in robot-directed speech, Autonomous Robots, vol.12, issue.1, pp.83-104, 2002.
DOI : 10.1023/A:1013215010749

T. Vogt and E. Andre, Improving automatic emotion recognition from speech via gender differentiation 44. Voeffra, C.: Emotion-sensitive human-computer interaction (hci): State of the art, Proceedings Language Resources and Evaluation Conference, 2006.

O. Pierre-yves, The production and recognition of emotions in speech: features and algorithms, International Journal of Human-Computer Studies, vol.59, issue.1-2, 2003.
DOI : 10.1016/S1071-5819(02)00141-6

C. Jones and A. Deeming, Affective human-robot interaction Affect and Emotion in Human-Computer Interaction: From Theory to Applications, p.175185, 2008.

L. Zadeh, Fuzzy sets, Information and Control, vol.8, issue.3, pp.338-353, 1965.
DOI : 10.1016/S0019-9958(65)90241-X

L. Zadeh, Outline of a New Approach to the Analysis of Complex Systems and Decision Processes, IEEE Transactions on Systems, Man, and Cybernetics, vol.3, issue.1, pp.28-44, 1973.
DOI : 10.1109/TSMC.1973.5408575

E. Mamdani and S. Assilian, An experiment in linguistic synthesis with a fuzzy logic controller, International Journal of Man-Machine Studies, vol.7, issue.1, pp.1-13, 1975.
DOI : 10.1016/S0020-7373(75)80002-2

T. Takagi and M. Sugeno, Fuzzy identification of systems and its applications to modeling and control, IEEE Transactions on Systems, Man, and Cybernetics, vol.15, issue.1, pp.15-116, 1985.
DOI : 10.1109/TSMC.1985.6313399

M. Sugeno, Industrial applications of fuzzy control, 1985.

J. Bezdek, Pattern recognition with fuzzy objective function algorithms, 1981.
DOI : 10.1007/978-1-4757-0450-1

V. Vapnik, Statistical learning theory Adaptive and Learning Systems, 1998.

J. Dunn, A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters, Journal of Cybernetics, vol.3, issue.3, pp.32-57, 1973.
DOI : 10.1080/01969727308546046

D. Gustafsson and W. Kessel, Fuzzy clustering with a fuzzy covariance matrix, 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes, pp.761-766, 1979.
DOI : 10.1109/CDC.1978.268028

I. Gath and A. Geva, Unsupervised optimal fuzzy clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.11, issue.7, pp.773-781, 1989.
DOI : 10.1109/34.192473

R. Yager and D. Filev, Approximate clustering via the mountain method, Machine Intelligence Institute, 1992.
DOI : 10.1109/21.299710

R. Yager and D. Filev, Learning of fuzzy rules by mountain clustering, Proceedings of SPIE Conference on Applications of Fuzzy Logic Technology, pp.246-254, 1993.

S. Chiu, Fuzzy model identification based on cluster estimation, Journal of Intelligent and Fuzzy Systems, vol.2, pp.267-278, 1994.

J. Searle, Austin on Locutionary and Illocutionary Acts, The Philosophical Review, vol.77, issue.4, pp.405-424, 1968.
DOI : 10.2307/2183008

J. Searle, Speech acts: An essay in the philosophy of language, 1969.
DOI : 10.1017/CBO9781139173438

L. Goldberg, An alternative "description of personality": The Big-Five factor structure., Journal of Personality and Social Psychology, vol.59, issue.6, p.12161229, 1990.
DOI : 10.1037/0022-3514.59.6.1216

A. Aly and A. Tapus, A model for synthesizing a combined verbal and nonverbal behavior based on personality traits in human-robot interaction, 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2013.
DOI : 10.1109/HRI.2013.6483606
URL : https://hal.archives-ouvertes.fr/hal-01284708

D. Summers-stay, C. Teo, Y. Yang, C. Fermuller, and Y. Aloimonos, Using a minimal action grammar for activity understanding in the real world, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012.
DOI : 10.1109/IROS.2012.6385483

K. Pastra and Y. Aloimonos, The minimalist grammar of action, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.20, issue.16, p.103117, 2012.
DOI : 10.1097/WNR.0b013e3283329be8

C. Izard, Face of emotion, 1971.

R. Plutchik, The Nature of Emotions, American Scientist, vol.89, issue.4, 1991.
DOI : 10.1511/2001.4.344

P. Ekman, Emotion in the human face: Guidelines for research and an integration of findings, 1972.

P. Ekman, W. Friesen, and P. Ellsworth, What emotion categories or dimensions can observers judge from facial behavior?, Emotion in the human face, 1982.

C. Izard, Human emotions, 1977.
DOI : 10.1007/978-1-4899-2209-0

S. Tomkins, Affect theory, Approaches to Emotion, pp.163-195, 1984.

C. Cortes and V. Vapnik, Support-vector networks, Machine Learning, vol.1, issue.3, pp.273-297, 1995.
DOI : 10.1007/BF00994018

F. Burkhardt, A. Paeschke, M. Rolfes, W. Sendlmeier, and B. Weiss, A database of german emotional speech (http://database.syntheticspeech.de), Proc. of Interspeech, 2005.

R. Banse and K. Scherer, Acoustic profiles in vocal emotion expression., Journal of Personality and Social Psychology, vol.70, issue.3, pp.614-636, 1996.
DOI : 10.1037/0022-3514.70.3.614

J. Montero, J. Gutierrez-arriola, S. Palazuelos, E. Enriquez, S. Aguilera et al., Emotional speech synthesis: from speech database to tts, Proceedings of the International Conference on Spoken Language Processing'98, pp.923-925, 1998.

D. Talkin, A robust algorithm for pitch tracking In: Speech Coding and Synthesis, pp.497-518, 1995.

M. Sondhi, New methods of pitch extraction, IEEE Transactions on Audio and Electroacoustics, vol.16, issue.2, pp.262-266, 1968.
DOI : 10.1109/TAU.1968.1161986

L. Rabiner, B. Atal, and M. Sambur, LPC prediction error--Analysis of its variation with the position of the analysis frame, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.25, issue.5, pp.25-434, 1977.
DOI : 10.1109/TASSP.1977.1162987

J. Rong, G. Li, and Y. P. Chen, Acoustic feature selection for automatic emotion recognition from speech, Information Processing & Management, vol.45, issue.3, pp.315-328, 2008.
DOI : 10.1016/j.ipm.2008.09.003

N. Cristianini and J. Shawe-taylor, Introduction to support vector machines, 2000.

J. Platt, Fast training of support vector machines using sequential mininal optimization, 1998.

P. Angelov, Evolving rule-based models: A tool for design of flexible adaptive systems, 2002.
DOI : 10.1007/978-3-7908-1794-2

A. Aly and A. Tapus, Towards an online real time fuzzy modeling for human internal states detection, Proceedings of the 12th IEEE International Conference on Control, Automation, Robotics and Vision (ICARCV), 2012.
DOI : 10.1109/icarcv.2012.6485379
URL : https://hal.archives-ouvertes.fr/hal-01180243/document