L. 'interactionémotionnelleinteractionémotionnelle-donne-un and . Fig, 9-15 ? Schèma bloc: prémices d'attention conjointe dans un contexte de référencement social. La reconnaissance des expressions faciales, l'attribution de valeurémotionnellèvaleurémotionnellè a des objets et la reconnaissance de la direction du regard permet de donner un sensémotionneìsensémotionneì a l

. Si-un-objet-est-détecté-alors-le-suivi-d, objet est activé, permettant de mettre l'objet au centre de l'image. Cette dynamique est vue comme un prémices d'attention conjointe puisque l'objet cible est la source d'attention des deux agents. L'objet cible capte l'attention du premier agent qui par conséquent attire le regard du second agent sur cet objet

. Gaussier, Le modèle présenté (figure 9-16) montre une cascade d'architectures sensori-motrices dont la finalité est de focaliser sur un objet que l'expérimentateur regarde tout en essayant de lui attribuer une dimensionémotionnelledimensionémotionnelle Le modèle ainsi développé met enévidenceenévidence la capacité du robotàrobotà pouvoir orienter son regard sur unévénementunévénement (objet) et de reconna??trereconna??tre l'expression de l'expérimentateur dans le but de communiquer une information Ce modèle montre que les informationsémotionnellesinformationsémotionnelles transmises par l'humain permettent au robot d'apprendre des associations entre des caractéristiques visuelles appartenantàappartenantà l'objet et unétatémotionnelunétatunétatémotionnel venant de l'environnement social. En présence de l'expérimentateur, un prémices d'attention conjointe est disponible permettant aux deux agents d'orienter leurs regards sur un même objet de l'environnement Au départ, l'objet n'a pas de assignant une valeurémotionnellevaleurémotionnelle aux objets selon l'expression du partenaire humain Ces différents travaux montrent l'importance de l'´ emotion dans l'apprentissage de comportements sociaux ainsi que la capacité des mécanismes de conditionnement simplè a associer l'expressivité de l'expérimentateur avec des objets, des lieux ou des comportements afin d'adapter le comportement du robot et ainsi permettre au travers de l'interaction (passage d'interactions diadiquesàdiadiquesà triadiques) d'apprendre des comportements sans cesse plus complexes. Dans de futurs travaux, il sera intéressant d'´ etudier l'ensemble des tâches qui sont accessibles par les seuls principes développés dans cette thèse pour mieux comprendre l'intêret des structures cérébrales qui ontétéontété volontairement négligées dans cette thèse. Par exemple au chapitre 4, la reconnaissance des expressions faciales est basée exclusivement sur une reconnaissance locale de l'image (points de focalisation) correspondàcorrespondà une analyse précise. Cette stratégie peutêtrepeutêtre vue comme une implémentation simple de la voie thalamo-cortico-amygdala chez les mammifères, une architecture simple et rapide a ´ eté implémentée analysant l'image globale. Elle pourrait correspondrè a une voie de traitement courte il serait intéressant de vérifier le couplage de ces deux approches afin de mettre enévidenceenévidence leurs influences, pp.la voie thalamo-amygdala, 1937.

?. Changement, Le robot doit focaliser sur l'humain, l'objet ou le lieu ? sélection de l'action: quel doitêtredoitêtre le comportement du robot afin de montrer son adapatationàtationà l'environnement Enfin, une perspective qui semble intéressante est sans doute le rôle de l'attention conjointe dans le développement du langage Notre cadre expérimental est suffisamment souple pour obtenir ce genre de capacité cognitive. Dans notre cas précis, le robot possède un vocabulaire réduitréduità " bien " ou " pas bien " correspondant respectivementàrespectivementà l'expression positive et négative. Cependant, l'acquisition d'un vocabulaire plus riche semble réalisableréalisablè a travers ce type d'interaction, p.176, 1976.

S. Amari, Dynamics of pattern formation in lateral-inhibition type neural fields, Biological Cybernetics, vol.13, issue.2, pp.77-87, 1977.
DOI : 10.1007/BF00337259

P. Andry, P. Gaussier, S. Moga, J. Banquet, and J. Nadel, Learning and communication via imitation: an autonomous robot perspective, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol.31, issue.5, pp.31431-444, 2001.
DOI : 10.1109/3468.952717

P. Andry, P. Gaussier, and J. Nadel, From sensorimotor coordination to low level imitation, Second international workshop on epigenetic robotics, pp.7-15, 2002.

M. Arnold, Emotion and personality, 1960.

F. Abboud and M. D. Davoine, Facial expression recognition and synthesis based on an appearance model, Signal Processing: Image Communication, vol.19, issue.8, pp.723-740, 2004.
DOI : 10.1016/j.image.2004.05.009

URL : https://hal.archives-ouvertes.fr/hal-00143335

D. Baldwin, L. J. , and M. , The Ontogeny of Social Information Gathering, Child Development, vol.67, issue.5, pp.1915-1939, 1996.
DOI : 10.2307/1131601

J. Banquet, P. Gaussier, J. C. Dreher, C. Joulain, A. Revel et al., Chapter 4 Space-time, order, and hierarchy in fronto-hippocampal system: A neural basis of personality, Cognitive Science Perspectives on Personality and Emotion, vol.124, pp.123-189, 1997.
DOI : 10.1016/S0166-4115(97)80121-5

P. Bard, A diencephalic mechanism for the expression of rage with special reference to the central nervous system, American journal of psychology, vol.84, pp.490-513, 1928.

B. Cohen and S. , Mindblindness. An essay on autism and theory of mind, 1995.

A. Barto, R. Sutton, and P. Brouwer, Associative search network: A reinforcement learning associative memory, Biological Cybernetics, vol.85, issue.3, pp.201-211, 1981.
DOI : 10.1007/BF00453370

R. Belaroussi, L. Prevost, and M. Milgram, Classifier Combination for Face Localization in Color Images, ICIAP (International Conference on Image Analysis and Processing), Lecture Notes in Computer Sciences, pp.1043-1050, 2005.
DOI : 10.1007/11553595_128

E. Bicho and G. Schoner, The dynamic approach to autonomous robotics demonstrated on a low-level vehicle platform, Robotics and Autonomous Systems, vol.21, issue.1, pp.23-35, 1997.
DOI : 10.1016/S0921-8890(97)00004-3

A. Billard, S. Calinon, R. Dillmann, and S. Schaal, Survey: Robot programming by demonstration, Handbook of Robotics, 2008.

V. Braintenberg, Vehicles, experiments in synthetic psychology, Bradfords books, 1984.

C. Breazeal, D. Buchsbaum, J. Gray, D. Gatenby, and B. Blumberg, Learning From and About Others: Towards Using Imitation to Bootstrap the Social Understanding of Others by Robots, Artificial Life, vol.1562, issue.1-2, pp.31-62, 2005.
DOI : 10.1016/S0893-6080(98)00066-5

I. Bretherton, J. Fritz, C. Zahn-waxler, and D. Ridgeway, Learning to Talk about Emotions: A Functionalist Perspective, Child Development, vol.57, issue.3, pp.529-548, 1986.
DOI : 10.2307/1130334

R. Brooks, A robust layered control system for a mobile robot, IEEE Journal on Robotics and Automation, vol.2, issue.1, pp.14-23, 1986.
DOI : 10.1109/JRA.1986.1087032

D. Brown, I. Craw, and J. Lewthwaite, A SOM Based Approach to Skin Detection with Application in Real Time Systems, Procedings of the British Machine Vision Conference 2001, 2001.
DOI : 10.5244/C.15.51

P. Brun, La compréhension desémotionsdesémotions: Son développement chez le jeune enfant et chez l'enfant autiste, 1998.

P. Brun and J. Nadel, Les jeunes enfants face auxémotionsauxémotions, pp.75-86, 1997.

J. Bruner, Le développement de l'enfant. Savoir faire, Savoir dire, 1983.

J. Bruner, Comment les enfants apprennentàapprennentà parler, 1987.

D. Bullock, J. Fiala, and S. Grossberg, A neural model of timed response learning in the cerebellum, Neural Networks, vol.7, issue.6-7, pp.1101-1115, 1994.
DOI : 10.1016/S0893-6080(05)80161-3

M. Bullock and J. A. Russell, Pre-school children's interpretation of facial expressions of emotion, International Journal of Behavioral Development, vol.1, pp.193-214, 1984.

M. Bullock and J. A. Russell, Concepts of emotion in developmental psychology Measuring emotions in infants and children, pp.203-237, 1986.

G. Butterworth, The ontogeny of joint visual attention, Whiten, A, pp.223-232, 1991.

A. Huang, H. Wu, B. Lao, and S. , Boosting nested cascade detector for multi-view face detection, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.415-418, 2004.
DOI : 10.1109/ICPR.2004.1334239

S. Calinon, F. Guenter, and A. Billard, On learning, representing and generalizing a task in a humanoid robot IEEE transactions on systems, man and cybernetics, Part B. Special issue on robot learning by observation, demonstration and imitation, pp.286-298, 2007.

J. J. Campos, The importance of affective communication in social referencing: A commentary on feinman, Merill-Palmer Quarterly, vol.29, issue.1, pp.83-87, 1983.

J. J. Campos, R. G. Campos, C. , and K. , Emergent themes in the study of emotional development and emotion regulation., Developmental Psychology, vol.25, issue.3, pp.394-402, 1989.
DOI : 10.1037/0012-1649.25.3.394

J. J. Campos and C. Steinberg, Perception, appraisal and emotion : The onset of social referencing, Infant social cognition Empirical and theoretical considerations. Hillsdale, N. J.: Erlbaum, 1981.

W. Cannon, The James-Lange Theory of Emotions: A Critical Examination and an Alternative Theory, The American Journal of Psychology, vol.39, issue.1/4, pp.106-124, 1927.
DOI : 10.2307/1415404

R. N. Cardinal, J. A. Parkinson, J. Hall, and B. J. Everitt, Emotion and motivation: the role of the amygdala, ventral striatum, and prefrontal cortex, Neuroscience & Biobehavioral Reviews, vol.26, issue.3, pp.321-352, 2002.
DOI : 10.1016/S0149-7634(02)00007-6

G. Carpenter, S. Grossberg, and D. Rosen, ART 2-A: An adaptive resonance algorithm for rapid category learning and recognition, Neural Networks, vol.4, issue.4, pp.493-504, 1991.
DOI : 10.1016/0893-6080(91)90045-7

G. Carpenter and S. Grossberg, Invariant pattern recognition and recall by an attentive self-organizing art architecture in a nonstationary world, Proceeding of Neural Network, pp.737-745, 1987.

G. Carpenter, S. Grossberg, N. Markuzon, J. H. Reynolds, and D. Rosen, Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps, IEEE Transactions on Neural Networks, vol.3, issue.5, pp.698-712, 1992.
DOI : 10.1109/72.159059

G. Carpenter, S. Grossberg, R. , and J. , ARTMAP: a self-organizing neural network architecture for fast supervised learning and pattern recognition, IJCNN-91-Seattle International Joint Conference on Neural Networks, pp.863-868, 1991.
DOI : 10.1109/IJCNN.1991.155292

D. Chai and K. Ngan, Face segmentation using skin-color map in videophone applications, IEEE Transactions on Circuits and Systems for Video Technology, vol.9, issue.4, p.551, 1999.
DOI : 10.1109/76.767122

S. Chevallier and P. Tarroux, Covert Attention with a Spiking Neural Network, International conference on computer vision systems of Lecture notes in computer science, pp.56-65, 2008.
DOI : 10.1007/978-3-540-79547-6_6

URL : https://hal.archives-ouvertes.fr/hal-00472646

B. Conein, Les sens sociaux : coordination de l'attention et interaction sociale, pp.26-27181, 1998.

L. Cosmides and J. Tooby, Evolutionary psychology and the emotions. Handbook of emotions, pp.91-115, 2000.

A. Damasio, Descartes' error. Putnam's Sons, 1994.

C. Darwin, The expression of emotion in man and animals, 1965.

D. Haan, M. Nelson, and C. A. , Discrimination and categorisation of facial expressions of emotion during infancy Perceptual development : Visual, auditory and language perception in infancy, pp.287-309, 1998.

M. De-wied, A. Van-boxtel, R. Zaalberg, P. Goudena, and M. Matthys, Facial EMG responses to dynamic emotional facial expressions in boys with disruptive behavior disorders, Journal of Psychiatric Research, vol.40, issue.2, pp.112-121, 2006.
DOI : 10.1016/j.jpsychires.2005.08.003

R. Descartes, Les passions de l'? ame, 1649.

E. Devouche and M. Gratier, Microanalyse du rythme, Devenir, vol.13, issue.2, pp.55-82, 2001.
DOI : 10.3917/dev.012.0055

S. Dickstein and R. D. Parke, Social Referencing in Infancy: A Glance at Fathers and Marriage, Child Development, vol.59, issue.2, pp.506-511, 1988.
DOI : 10.2307/1130328

U. Dimberg, Facial Reactions to Facial Expressions, Psychophysiology, vol.192, issue.6, pp.643-647, 1982.
DOI : 10.1037//0022-3514.38.2.278

P. Ekman, Emotion in human face, 1982.

P. Ekman, An argument for basic emotions, Cognition & Emotion, vol.6, issue.3, pp.169-200, 1992.
DOI : 10.1080/02699939208411068

P. Ekman and W. Friesen, Constants across cultures in the face and emotion., Journal of Personality and Social Psychology, vol.17, issue.2, pp.124-129, 1971.
DOI : 10.1037/h0030377

P. Ekman and W. Friesen, Facial action coding system: A technique for the measurement of facial movement, 1978.

P. Ekman, W. Friesen, E. , and P. , Emotion in the human face: Guide-lines for research and an integration of findings, 1972.

N. Emery, The eyes have it: the neuroethology, function and evolution of social gaze, Neuroscience & Biobehavioral Reviews, vol.24, issue.6, pp.581-604, 2000.
DOI : 10.1016/S0149-7634(00)00025-7

R. Fantz, The Origin of Form Perception, Scientific American, vol.204, issue.5, pp.66-72, 1961.
DOI : 10.1038/scientificamerican0561-66

N. Farrugia, F. Mamalet, S. Roux, F. Yang, and M. Paindavoine, Fast and Robust Face Detection on a Parallel Optimized Architecture Implemented on FPGA, IEEE Transactions on Circuits and Systems for Video Technology, vol.19, issue.4, pp.597-602, 2009.
DOI : 10.1109/TCSVT.2009.2014013

URL : https://hal.archives-ouvertes.fr/hal-00640765

B. Fasel and J. Luettin, Recognition of asymmetric facial action unit activities and intensities, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, pp.1100-1103, 2000.
DOI : 10.1109/ICPR.2000.905664

S. Feinman, Social referencing in infancy, Merrill-Palmer Quarterly, vol.28, issue.4, pp.445-470, 1982.

S. Feinman and M. Lewis, Social Referencing at Ten Months: A Second-Order Effect on Infants' Responses to Strangers, Child Development, vol.54, issue.4, pp.878-887, 1983.
DOI : 10.2307/1129892

S. Feinman, D. Roberts, K. Hsieh, D. Sawyer, and D. Swanson, A Critical Review of Social Referencing in Infancy, Social referencing and the social construction of reality in infancy, pp.15-54, 1992.
DOI : 10.1007/978-1-4899-2462-9_2

L. Feldman-barrett and J. Russell, Circumplex models of affect. Oxford Companion to Emotion and Affective Sciences, 2009.

R. Feraud, O. Bernier, J. Viallet, and M. Collobert, A fast and accurate face detector based on neural networks, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.1, pp.42-53, 2001.
DOI : 10.1109/34.899945

T. Field, R. Woodson, R. Greenberg, and D. Cohen, Discrimination and imitation of facial expression by neonates, Science, vol.218, issue.4568, pp.218179-181, 1982.
DOI : 10.1126/science.7123230

T. M. Field and T. A. Walden, Production and Discrimination of Facial Expressions by Preschool Children, Child Development, vol.53, issue.5, pp.1299-1300, 1982.
DOI : 10.2307/1129020

J. Fontaine, K. Scherer, E. Roesch, E. , and P. , The World of Emotions is not Two-Dimensional, Psychological Science, vol.43, issue.12, pp.1050-1057, 2007.
DOI : 10.1037//0022-3514.77.3.600

P. Fraisse, Les emotions. Traite de psychologie experimental, pp.97-181, 1963.

L. Franco and A. Treves, A neural network facial expression recognition system using unsupervised local processing. 2nd international symposium on image and signal processing and analysis, Cognitive neuroscience, vol.2, pp.628-632, 2001.

N. Frijda, Emotions, 1986.
DOI : 10.4135/9781848608399.n12

N. Frijda, Emotion, cognitive structure, and action tendency, Cognition & Emotion, vol.13, issue.2, pp.115-143, 1987.
DOI : 10.1037/0033-295X.92.4.548

I. Fukuyori, Y. Nakamura, Y. Matsumoto, and H. Ishiguro, Flexible control mechanism for multi-dof robotic arm based on biological fluctuation. From Animals to Animats 10, pp.22-31, 2008.

G. Gergely and J. W. , Early socio-emotional development: contingency perception and the social-biofeedback model, Early Social Cognition: Understanding Others in the First Months of Life, pp.101-136, 1999.

V. Gallese, The Roots of Empathy: The Shared Manifold Hypothesis and the Neural Basis of Intersubjectivity, Psychopathology, vol.36, issue.4, pp.171-180, 2003.
DOI : 10.1159/000072786

O. Gallet, P. Gaussier, C. , and J. , A model of the visual attention to speed up image analysis, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), pp.246-250, 1998.
DOI : 10.1109/ICIP.1998.723466

C. Garcia and M. Delakis, Convolutional face finder: a neural architecture for fast and robust face detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.11, pp.1408-1423, 2004.
DOI : 10.1109/TPAMI.2004.97

C. Garcia and G. Tziritas, Face detection using quantized skin color regions merging and wavelet packet analysis, IEEE Transactions on Multimedia, vol.1, issue.3, pp.264-277, 1999.
DOI : 10.1109/6046.784465

P. Gaussier, Toward a cognitive system algebra: A perception/action perspective, European Workshop on Learning Robots (EWRL), pp.88-100, 2001.

P. Gaussier, Toward a cognitive system algebra: A perception/action perspective, European Workshop on Learning Robots (EWRL), pp.88-100, 2001.

P. Gaussier, S. Boucenna, and J. Nadel, Emotional interactions as a way to structure learning. epirob, pp.193-194, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00522689

P. Gaussier and J. Cocquerez, Utilisation des réseaux de neurones pour la reconnaissance de scènes complexes: simulation d'un système visuel comprenant plusieurs aires corticales. GRETSI, pp.441-466, 1991.

P. Gaussier, S. Lepretre, M. Quoy, A. Revel, C. Joulain et al., Interdisciplinary approaches to robot learning, chapter experimentsandmodels about cognitive map learning for motivated navigation, Robotics and Intelligent Systems Series World Scientific, 2000.

P. Gaussier, S. Moga, M. Quoy, and J. Banquet, FROM PERCEPTION-ACTION LOOPS TO IMITATION PROCESSES: A BOTTOM-UP APPROACH OF LEARNING BY IMITATION, Applied Artificial Intelligence, vol.7, issue.7-8, pp.701-727, 1998.
DOI : 10.1037/0735-7036.110.1.3

URL : https://hal.archives-ouvertes.fr/hal-01416796

P. Gaussier and S. Zrehen, PerAc: A neural architecture to control artificial animals, Robotics and Autonomous Systems, vol.16, issue.2-4, pp.291-320, 1995.
DOI : 10.1016/0921-8890(95)00052-6

J. Gewirtz and M. Pelaez-nogueras, Social Referencing as a Learned Process, Social referencing and the social construction of reality in infancy, pp.151-173, 1992.
DOI : 10.1007/978-1-4899-2462-9_7

K. Ghamen and A. Caplier, Estimation of anger, sadness and fear expression intensity based on the belief theory, Proceedings ACIT, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00371563

K. Ghanem, A. Caplier, and S. Stillittano, Estimation of facial expression intensity based on the belief theory, VISAPP (1), pp.452-460, 2008.

C. Giovannangeli and P. Gaussier, Autonomous vision-based navigation: Goal-oriented action planning by transient states prediction, cognitive map building, and sensory-motor learning, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.676-683, 2008.
DOI : 10.1109/IROS.2008.4650872

URL : https://hal.archives-ouvertes.fr/hal-00871745

C. Giovannangeli, P. Gaussier, and J. Banquet, Robustness of Visual Place Cells in Dynamic Indoor and Outdoor Environment, International Journal of Advanced Robotic Systems, vol.55, issue.4, pp.115-124, 2006.
DOI : 10.5772/5748

P. Gosselin, P. Roberge, and M. Lavallée, Le développement de la reconnaissance des expressions facialesémotionnellesfacialesémotionnelles du répertoire humain, Enfance, vol.4, pp.379-396, 1995.
DOI : 10.3406/enfan.1995.2144

URL : http://www.persee.fr/docAsPDF/enfan_0013-7545_1995_num_48_4_2144.pdf

A. L. Gross and B. Ballif, Children's understanding of emotion from facial expressions and situations: A review, Developmental Review, vol.11, issue.4, pp.368-398, 1991.
DOI : 10.1016/0273-2297(91)90019-K

S. Grossberg, Contour enhancement, short term memory, and constancies in reverberating neural networks, Studies in Applied Mathematics, pp.213-257, 1973.

S. Grossberg, Competitive Learning: From Interactive Activation to Adaptive Resonance, Cognitive Science, vol.1, issue.1, pp.23-63, 1987.
DOI : 10.1111/j.1551-6708.1987.tb00862.x

S. Grossberg, Nonlinear neural networks: Principles, mechanisms, and architectures, Neural Networks, vol.1, issue.1, pp.17-61, 1988.
DOI : 10.1016/0893-6080(88)90021-4

S. Grossberg and J. Merrill, A neural network model of adaptively timed reinforcement learning and hippocampal dynamics, Cognitive Brain Research, vol.1, issue.1, pp.3-38, 1992.
DOI : 10.1016/0926-6410(92)90003-A

S. Grossberg and E. Mingolla, Neural dynamics of form perception: Boundary completion, illusory figures, and neon color spreading., Psychological Review, vol.92, issue.2, pp.173-211, 1985.
DOI : 10.1037/0033-295X.92.2.173

S. Grossberg and D. Somers, Synchronized oscillations during cooperative feature linking in a cortical model of visual perception, Neural Networks, vol.4, issue.4, pp.453-466, 1991.
DOI : 10.1016/0893-6080(91)90041-3

M. R. Gunnar and C. Stone, The Effects of Positive Maternal Affect on Infant Responses to Pleasant, Ambiguous, and Fear-Provoking Toys, Child Development, vol.55, issue.4, pp.1231-1236, 1984.
DOI : 10.2307/1129992

S. Harnad, The symbol grounding problem, Physica D: Nonlinear Phenomena, vol.42, issue.1-3, pp.335-346, 1990.
DOI : 10.1016/0167-2789(90)90087-6

P. L. Harris, Children and emotion, 1989.

C. Hasson and P. Gaussier, Path Integration Working Memory for Multi Tasks Dead Reckoning and Visual Navigation, Proceedings of Simulation of Adaptive Behavior (SAB'2010), pp.380-389, 2010.
DOI : 10.1007/978-3-642-15193-4_36

D. Hebb, The organization of behavior: A neuropsychological theory, 1949.

R. Hecht-nielsen, Counterpropagation networks, Applied Optics, vol.26, issue.23, pp.4979-4984, 1987.
DOI : 10.1364/AO.26.004979

M. Hersch, S. Calinon, and A. Billard, Dynamical System Modulation for Robot Learning via Kinesthetic Demonstrations, IEEE Transactions on Robotics, vol.24, issue.6, pp.1463-1467, 2008.
DOI : 10.1109/TRO.2008.2006703

U. Hess and S. Blairy, Facial mimicry and emotional contagion to dynamic emotional facial expressions and their influence on decoding accuracy, International Journal of Psychophysiology, vol.40, issue.2, pp.129-141, 2001.
DOI : 10.1016/S0167-8760(00)00161-6

L. M. Hirshberg and M. Svejda, When Infants Look to Their Parents: I. Infants' Social Referencing of Mothers Compared to Fathers, Child Development, vol.61, issue.4, pp.1175-1186, 1990.
DOI : 10.2307/1130885

A. Hodgkin and A. Huxley, A quantitative description of membrane current and its application to conduction and excitation in nerve, The Journal of Physiology, vol.117, issue.4, pp.500-544, 1952.
DOI : 10.1113/jphysiol.1952.sp004764

R. Hornik, N. Risenhoover, and M. Gunnar, The Effects of Maternal Positive, Neutral, and Negative Affective Communications on Infant Responses to New Toys, Child Development, vol.58, issue.4, pp.937-944, 1987.
DOI : 10.2307/1130534

D. Hubel and T. Wiesel, Ferrier Lecture: Functional Architecture of Macaque Monkey Visual Cortex, Proceedings of the Royal Society B: Biological Sciences, vol.198, issue.1130, pp.1-59, 1977.
DOI : 10.1098/rspb.1977.0085

T. Ikegami, Ecology of evolutionary game strategies, ECAL 93, pp.527-536, 1993.

L. Itti and C. Koch, Computational modelling of visual attention, Nature Reviews Neuroscience, vol.2, issue.3, pp.194-203, 2001.
DOI : 10.1038/35058500

C. Izard, The face of emotion, 1971.

C. Izard, The maximally discriminative facial movement coding system (max), 1979.

C. E. Izard, Facial expressions and the regulation of emotions., Journal of Personality and Social Psychology, vol.58, issue.3, pp.487-498, 1990.
DOI : 10.1037/0022-3514.58.3.487

C. E. Izard, C. A. Fantauzzo, J. M. Castle, O. M. Haynes, M. F. Rayias et al., The ontogeny and significance of infants' facial expressions in the first 9 months of life., Developmental Psychology, vol.31, issue.6, pp.997-1013, 1995.
DOI : 10.1037/0012-1649.31.6.997

J. Bastiaansen, M. Thioux, and C. K. , Evidence for mirror systems in emotions, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.2, issue.3-4, pp.2391-2404, 2009.
DOI : 10.1080/17470910701401973

W. James, What is an emotion. Mind, pp.188-205, 1884.

W. James, Psychology. Henry Holt and Company, 1892.
URL : https://hal.archives-ouvertes.fr/halshs-00584247

H. Jasso, J. Triesch, and G. Deak, A reinforcement learning model of social referencing, 2008 7th IEEE International Conference on Development and Learning, pp.286-291, 2008.
DOI : 10.1109/DEVLRN.2008.4640844

J. M. Jenkis, K. Oatley, and N. L. , Human Emotions, chapter The communicative theory of emotions, 1998.

J. J. Jier-lien and J. F. Cohn, Subtly different facial expression recognition and expression intensity estimation, Proc. Of the IEEE Int. Conference on Computer Vision and Pattern Recognition, pp.853-859, 1998.

C. Joulain, P. Gaussier, and A. Revel, Learning to build categories from perceptionaction associations, International Conference on Intelligent Robots and Systems - IROS'97, pp.857-864, 1997.
DOI : 10.1109/iros.1997.655110

T. Kanade, Picture processing by computer complex and recognition of human faces, 1973.

T. Kanungo, D. M. Mount, N. S. Netanyahu, C. D. Piatko, R. Silverman et al., An efficient k-means clustering algorithm: analysis and implementation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.7, pp.881-892, 2002.
DOI : 10.1109/TPAMI.2002.1017616

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.43.2981

F. Kaplan, L'´ emergence d'un lexique dans une population d'agents autonomes, Thèse de l'université, 2000.

F. Kaplan and V. Hafner, The challenges of joint attention, Proceedings of the Fourth International Workshop on Epigenetic Robotics, pp.67-74, 2004.

K. Kaye, Infants'effect upon their mothers'teaching strategies, 1976.

R. Kestenbaum and C. A. Nelson, The recognition and categorization of upright and inverted emotional expressions by 7-month-old infants, Infant Behavior and Development, vol.13, issue.4, pp.497-511, 1990.
DOI : 10.1016/0163-6383(90)90019-5

J. Kim, S. Kee, K. , and J. , Fast detection of multiview face and eye based on cascaded classifier. Machine Vision and Application, pp.116-119, 2005.

M. Klinnert, The regulation of infant behavior by maternal facial expression, Infant Behavior and Development, vol.7, issue.4, pp.447-465, 1984.
DOI : 10.1016/S0163-6383(84)80005-3

M. Klinnert, J. Campos, J. Sorce, R. Emde, and M. Svejda, The development of the social referencing in infancy, Emotion in early development, pp.57-86, 1983.

M. Klinnert, J. J. Campos, J. Sorce, R. N. Emde, and M. Svejda, Emotions as behaviour regulators: Social referencing in infancy, Emotion : Theory, research, and experience. Emotions in early development, pp.57-86, 1983.

M. D. Klinnert, R. N. Emde, P. Butterfield, C. , and J. J. , Social referencing: The infant's use of emotional signals from a friendly adult with mother present., Developmental Psychology, vol.22, issue.4, pp.427-432, 1986.
DOI : 10.1037/0012-1649.22.4.427

K. Knudsen, Mechanisms of sound localization in the barn owl (Tyto alba), Journal of Comparative Physiology ? A, vol.60, issue.1, pp.13-21, 1979.
DOI : 10.1007/BF00663106

T. Kohonen, Self-organization and associative memory, 1989.

T. Kohonen, Self-organization and associative memory, 1989.
DOI : 10.1007/978-3-642-88163-3

C. Kotropoulos and I. Pitas, Rule-based face detection in frontal views, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, pp.2537-2540, 1997.
DOI : 10.1109/ICASSP.1997.595305

P. J. Lafreniere, Emotional development : A biosocial perspective, pp.Wad- sworth, 2000.

M. Lagarde, P. Andry, and P. Gaussier, Distributed real time neural networks in interactive complex systems, In CSTST, pp.95-100, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00356681

C. Lange, The emotions., 1885.
DOI : 10.1037/10735-002

L. Lapicque, Recherches quantitatives sur l'excitationélectriqueexcitationélectrique des nerfs traitée comme une polarisation, J Physiol Pathol Gen, vol.9, pp.620-635, 1907.

J. Ledoux, The Emotional Brain, 1996.

K. K. Lee and Y. Xu, Real-time estimation of facial expression intensity, ICRA, pp.2567-2572, 2003.

S. Li and Z. Zhang, FloatBoost learning and statistical face detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.9, pp.1112-1123, 2004.
DOI : 10.1109/TPAMI.2004.68

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.6563

D. Liang, J. Yang, Z. Zheng, C. , and Y. , A facial expression recognition system based on supervised locally linear embedding, Pattern Recognition Letters, vol.26, issue.15, pp.2374-2389, 2005.
DOI : 10.1016/j.patrec.2005.04.011

R. Lippman, An introduction to computing with neural nets, IEEE ASSP Magazine, pp.4-22, 1987.

G. Littlewort, M. S. Bartlett, I. Fasel, T. Kanda, H. Ishiguro et al., Towards social robots: Automatic evaluation of human-robot interaction by face detection and expression classification, pp.1563-1570, 2004.

K. A. Loveland, B. Tunali-kotoski, D. A. Pearson, K. A. Brelsford, J. Ortegon et al., Imitation and expression of facial affect in autism, Development and Psychopathology, vol.79, issue.03, pp.433-444, 1994.
DOI : 10.1007/BF00916569

D. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94

P. M. Ludemann and C. A. Nelson, Categorical representation of facial expressions by 7-month-old infants., Developmental Psychology, vol.24, issue.4, pp.492-501, 1988.
DOI : 10.1037/0012-1649.24.4.492

M. Magnée, J. Stekelenburg, C. Kemmer, D. Gelder, and B. , Similar facial electromyographic responses to faces, voices, and body expressions, NeuroReport, vol.18, issue.4, pp.369-372, 2007.
DOI : 10.1097/WNR.0b013e32801776e6

M. Maillard, O. Gapenne, L. Hafemeister, and P. Gaussier, Perception as a Dynamical Sensori-Motor Attraction Basin, Advances in Artificial Life (8th European Conference, ECAL, pp.37-46, 2005.
DOI : 10.1007/11553090_5

M. Maillard, O. Gapenne, L. Hafemeister, and P. Gaussier, Perception as a Dynamical Sensori-Motor Attraction Basin, Advances in Artificial Life (8th European Conference, ECAL), volume LNAI 3630 of Lecture Note in ArtificialIntelligence, pp.37-46, 2005.
DOI : 10.1007/11553090_5

L. Marin-urias, E. Sisbot, A. , and R. , Geometric Tools for Perspective Taking for Human??Robot Interaction, 2008 Seventh Mexican International Conference on Artificial Intelligence, pp.243-249, 2008.
DOI : 10.1109/MICAI.2008.40

L. Marin-urias, E. Sisbot, A. Pandey, R. Tadakuma, A. et al., Towards shared attention through geometric reasoning for Human Robot Interaction, 2009 9th IEEE-RAS International Conference on Humanoid Robots, 2009.
DOI : 10.1109/ICHR.2009.5379555

M. Masahiro, The uncanny valey, Energy, vol.7, pp.33-35, 1970.

H. Mataruna and F. Varela, Autopoiesis and Cognition: the realization of the living, 1980.
DOI : 10.1007/978-94-009-8947-4

D. Matsumoto and P. Ekman, Basic emotions. Oxford Companion to Emotion and Affective Sciences, 2009.

W. S. Mcculloch and W. H. Pitts, A logical calculus of the ideas immanent in nervous activity, Bull Math Biophys, 1943.

A. N. Meltzoff and M. K. Moore, Imitation of Facial and Manual Gestures by Human Neonates, Science, vol.198, issue.4312, pp.75-78, 1977.
DOI : 10.1126/science.198.4312.75

A. N. Meltzoff and M. K. Moore, Newborn Infants Imitate Adult Facial Gestures, Child Development, vol.54, issue.3, pp.702-709, 1983.
DOI : 10.2307/1130058

S. Moga, P. Gaussier, and J. Banquet, Sequence learning using the neural coding, In IWANN, issue.1, pp.198-205, 2003.
DOI : 10.1007/3-540-44868-3_26

J. Moody and C. Darken, Fast Learning in Networks of Locally-Tuned Processing Units, Neural Computation, vol.1, issue.2, pp.281-293, 1989.
DOI : 10.1109/MASSP.1987.1165576

D. Muir, L. Kang, C. Hains, and S. Hains, Infant perception and production of emotions during face-to-face interactions with live and ???virtual??? adults, pp.207-233, 2005.
DOI : 10.1093/acprof:oso/9780198528845.003.0008

D. Muir and J. Nadel, Infant social perception, pp.247-285, 1998.

D. Mumme, A. Fernald, and C. Herrera, Infants' Responses to Facial and Vocal Emotional Signals in a Social Referencing Paradigm, Child Development, vol.67, issue.6, pp.3219-3237, 1996.
DOI : 10.2307/1131775

L. Murray and C. Trevarthen, Emotional regulation of interaction between two-montholds and their mother's. In Social perception in infants, N.J, pp.177-197, 1985.

J. Nadel, I. Carchon, and C. Kervella, Expectancies for social contingency in 2-month-olds, Developmental Science, vol.2, issue.2, pp.164-174, 1999.
DOI : 10.1111/1467-7687.00065

J. Nadel, M. Simon, P. Canet, R. Soussignan, P. Blancard et al., Human responses to an expressive robot, Epirob 06, 2006.

J. Nadel, M. Simon, P. Canet, R. Soussignan, P. Blanchard et al., Human responses to an expressive robot, Epirob 06, 2006.

Y. Nagai, K. Hosoda, A. Morita, and M. Asada, A constructive model for the development of joint attention, Connection Science, vol.15, issue.4, pp.211-229, 2003.
DOI : 10.1023/A:1013298507114

C. A. Nelson, The Recognition of Facial Expressions in the First Two Years of Life: Mechanisms of Development, Child Development, vol.58, issue.4, pp.889-909, 1987.
DOI : 10.2307/1130530

C. A. Nelson and K. M. Dolgin, The Generalized Discrimination of Facial Expressions by Seven-Month-Old Infants, Child Development, vol.56, issue.1, pp.58-61, 1985.
DOI : 10.2307/1130173

O. 'keefe and J. , The hippocampus as a cognitive map, 1978.

P. Y. Oudeyer, F. Kaplan, and V. Hafner, Intrinsic Motivation Systems for Autonomous Mental Development, IEEE Transactions on Evolutionary Computation, vol.11, issue.2, pp.265-286, 2007.
DOI : 10.1109/TEVC.2006.890271

P. Gaussier, K. Prepin, and J. N. , Toward a Cognitive System Algebra: Application to Facial Expression Learning and Imitation, In Embodied Artificial Intelligence, pp.243-258, 2004.
DOI : 10.1007/978-3-540-27833-7_18

J. Papez, A PROPOSED MECHANISM OF EMOTION, Archives of Neurology And Psychiatry, vol.38, issue.4, 1937.
DOI : 10.1001/archneurpsyc.1937.02260220069003

J. Paton, M. Belova, S. Morrison, and C. Salzman, The primate amygdala represents the positive and negative value of visual stimuli during learning, Nature, vol.8, issue.7078, pp.865-870, 2006.
DOI : 10.1016/S0306-4522(00)00092-0

R. Plutchick, A general psychoevolutionary theory of emotion. Emotion: Theory, research and experience, pp.3-33, 1980.

D. Premack and G. Woodruff, Does the chimpanzee have a theory of mind?, Behavioral and Brain Sciences, vol.1, issue.04, pp.515-526, 1978.
DOI : 10.1126/science.705342

K. Prepin, P. Gaussier, A. Revel, and J. Nadel, A formal approach of developmental robotics and psychology : application to the study of a joint attention architecture, Fifth International Conference on Epigenetic Robotics, p.163, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00449327

B. Repacholi, Infants' use of attentional cues to identify the referent of another person's emotional expression., Developmental Psychology, vol.34, issue.5, pp.1017-1025, 1998.
DOI : 10.1037/0012-1649.34.5.1017

B. Rime and D. Giovannini, The physiological patterns of reported emotional states Experincing emotion: A cross-cultural study, pp.84-97, 1986.

R. Hsu, M. Abdel-mottaleb, and A. J. , Face detection in color images. Pattern Analysis and Machine Intelligence, IEEE Transactions, vol.24, pp.696-706, 2002.

W. Rosen, L. Adamson, and R. Bakeman, An experimental investigation of infant social referencing: Mothers' messages and gender differences., Developmental Psychology, vol.28, issue.6, pp.1172-1178, 1992.
DOI : 10.1037/0012-1649.28.6.1172

F. Rosenblatt, The perceptron: A probabilistic model for information storage and organization in the brain., Psychological Review, vol.65, issue.6, pp.386-408, 1958.
DOI : 10.1037/h0042519

N. Rougier, Implicit and explicit representations, Neural Networks, vol.22, issue.2, pp.155-160, 2009.
DOI : 10.1016/j.neunet.2009.01.008

URL : https://hal.archives-ouvertes.fr/inria-00336167

N. Rougier and J. Vitay, Emergence of attention within a neural population, Neural Networks, vol.19, issue.5, pp.573-581, 2006.
DOI : 10.1016/j.neunet.2005.04.004

URL : https://hal.archives-ouvertes.fr/inria-00000143

H. A. Rowley, S. Baluja, and T. Kanade, Neural network-based face detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.1, pp.23-38, 1998.
DOI : 10.1109/34.655647

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.5546

. Rumelhart, Parallel distributed processing, D.E), 1986.

D. E. Rumelhart and D. Zipser, Feature Discovery by Competitive Learning*, Cognitive Science, vol.14, issue.1, pp.75-112, 1985.
DOI : 10.1207/s15516709cog0901_5

C. Russell, K. Bard, and L. Adamson, Social referencing by young chimpanzees (Pan troglodytes)., Journal of Comparative Psychology, vol.111, issue.2, pp.185-193, 1997.
DOI : 10.1037/0735-7036.111.2.185

J. Russell, A circumplex model of affect., Journal of Personality and Social Psychology, vol.39, issue.6, pp.1161-1178, 1980.
DOI : 10.1037/h0077714

URL : https://hal.archives-ouvertes.fr/hal-01086372

J. Russell and L. Feldman-barrett, Core affect, prototypical emotional episodes, and other things called emotion: Dissecting the elephant., Journal of Personality and Social Psychology, vol.76, issue.5, pp.805-819, 1999.
DOI : 10.1037/0022-3514.76.5.805

C. Saarni, The development of emotional competence, 1999.

D. Sander, D. Grandjean, and K. Scherer, A systems approach to appraisal mechanisms in emotion, Neural Networks, vol.18, issue.4, pp.317-352, 2005.
DOI : 10.1016/j.neunet.2005.03.001

W. Sato and S. Yoshikawa, Spontaneous facial mimicry in response to dynamic facial expressions, Cognition, vol.104, issue.1, pp.1-18, 2007.
DOI : 10.1016/j.cognition.2006.05.001

B. Scassellati, Imitation and mechanisms of joint attention: A developmental structure for building social skills on a humanoid robot Computation for Metaphors, Analogy and Agents, Lecture Notes in Artificial Intelligence, vol.1562, pp.176-195, 1998.

B. Scassellati, Foundations of a theory of mind for a humanoid robot, 2001.
DOI : 10.1037/e446982006-001

S. Schachter and J. Singer, Cognitive, social, and physiological determinants of emotional state., Psychological Review, vol.69, issue.5, pp.379-399, 1962.
DOI : 10.1037/h0046234

K. Scherer, Les emotions: fonctions et composantes, Rime et K. Scherer (dir), les emotions, pp.97-134, 1989.

K. Scherer, Studying the emotion-antecedent appraisal process: An expert system approach, Cognition & Emotion, vol.5, issue.3-4, pp.1-41, 1993.
DOI : 10.1037/0003-066X.35.2.151

G. Schöner, M. Dose, and C. Engels, Dynamics of behavior: Theory and applications for autonomous robot architectures, Robotics and Autonomous Systems, vol.16, issue.2-4, pp.213-245, 1995.
DOI : 10.1016/0921-8890(95)00049-6

E. Schwartz, Spatial mapping in the primate sensory projection: Analytic structure and relevance to perception, Biological Cybernetics, vol.70, issue.4, pp.181-194, 1977.
DOI : 10.1007/BF01885636

E. Schwartz, Computational anatomy and functional architecture of striate cortex: A spatial mapping approach to perceptual coding, Vision Research, vol.20, issue.8, pp.645-669, 1980.
DOI : 10.1016/0042-6989(80)90090-5

G. Schwartz, P. Fair, P. Salt, M. Mandel, and G. Klerman, Facial muscle patterning to affective imagery in depressed and nondepressed subjects, Science, vol.192, issue.4238, pp.489-491, 1976.
DOI : 10.1126/science.1257786

J. M. Serrano, J. Iglesias, and A. Loeches, Visual discrimination and recognition of facial expressions of anger, fear, and surprise in 4- to 6-month-old infants, Developmental Psychobiology, vol.48, issue.6, pp.25411-425, 1992.
DOI : 10.1002/dev.420250603

M. Sigman and C. Kasari, Social referencing, shared attention, and empathy in infants, Paper presented at the Ninth International Conference on Infant Studies, 1994.

L. D. Silva, K. Aizawa, and M. Hatori, Detection and tracking of facial features by using a facial feature model and deformable circular template, IEICE Trans. Inform. Systems, pp.1195-1207, 1995.

M. Simon, P. Canet, R. Soussignan, P. Gaussier, and J. Nadel, L'enfant face ?? des expressions robotiques et humaines, Enfance, vol.59, issue.1, pp.59-70, 2007.
DOI : 10.3917/enf.591.0059

P. Sinha, Object recognition via image invariants: A case study, Investigative Ophthalmology and Visual Science, vol.25, pp.1735-1740, 1994.

E. Sisbot, L. Marin, A. , and R. , Spatial reasoning for human robot interaction, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.2281-2287, 2007.
DOI : 10.1109/IROS.2007.4399486

T. Smithers, On quantitative performance measures of robot behaviour, Robotics and Autonomous Systems, vol.15, issue.1-2, pp.107-133, 1995.
DOI : 10.1016/0921-8890(95)00017-A

E. Sokolov, Perception and the conditioned reflex, 1963.

J. Sorce, R. N. Emde, J. J. Campos, and M. Klinnert, Maternal emotional signaling: Its effect on the visual cliff behavior of 1-year-olds., Developmental Psychology, vol.21, issue.1, pp.195-200, 1985.
DOI : 10.1037/0012-1649.21.1.195

J. F. Sorce and R. N. Emde, Mother's presence is not enough: Effect of emotional availability on infant exploration., Developmental Psychology, vol.17, issue.6, pp.737-745, 1981.
DOI : 10.1037/0012-1649.17.6.737

B. Spinoza, Ethique, partie iii : Concernant la nature et l'origine des emotions, 1677.

L. Steels, Mathelmatical analysis of behavior systems, From Perception to Action: PerAc'94, pp.88-95, 1994.

G. Stenberg and B. Hagekull, Social referencing and mood modification in 1-year-olds, pp.209-217, 1997.

J. Susskind, D. Lee, A. Cusi, R. Feiman, W. Grabski et al., Expressing fear enhances sensory acquisition, Nature Neuroscience, vol.23, issue.7, pp.11843-850, 2008.
DOI : 10.1111/j.1469-8986.1996.tb02116.x

A. L. Thomaz, M. Berlin, and C. Breazeal, An embodied computational model of social referencing, ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005., 2005.
DOI : 10.1109/ROMAN.2005.1513844

S. Thorpe, D. Fize, and C. Marlot, Speed of processing in the human visual system, Nature, vol.381, issue.6582, pp.520-522, 1996.
DOI : 10.1038/381520a0

M. Tomasello, M. Carpenter, J. Call, T. Behne, M. et al., Understanding and sharing intentions: The origins of cultural cognition, Behavioral and Brain Sciences, vol.28, issue.05, pp.28675-691, 2005.
DOI : 10.1017/S0140525X05000129

M. Tomasello and T. , Joint attention and lexical acquisition style, First Language, vol.4, issue.12, pp.197-212, 1983.
DOI : 10.1177/014272378300401202

C. Trevarthen, The function of emotions in early infant communication New perspectives in early communicative development, 1993.

E. Tronick, H. Als, L. Adamson, S. Wise, and T. B. Brazelton, The Infant's Response to Entrapment between Contradictory Messages in Face-to-Face Interaction, Journal of the American Academy of Child Psychiatry, vol.17, issue.1, pp.1-13, 1978.
DOI : 10.1016/S0002-7138(09)62273-1

M. Turk and A. Pentland, Face recognition using eigenfaces, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.586-591, 1991.
DOI : 10.1109/CVPR.1991.139758

V. Vezhnevets, V. Sazonov, and A. Andreeva, A survey on pixel-based skin color detection techniques, Proc. Graphicon-2003, pp.85-92, 2003.

P. Viola and M. Jones, Rapid object detection using a boosted cascade of simple features, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, pp.511-518, 2001.
DOI : 10.1109/CVPR.2001.990517

P. Viola and M. Jones, Robust Real-Time Face Detection, International Journal of Computer Vision, vol.57, issue.2, pp.137-154, 2004.
DOI : 10.1023/B:VISI.0000013087.49260.fb

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.102.9805

T. Walden and A. Baxter, The Effect of Context and Age on Social Referencing, Child Development, vol.60, issue.6, pp.1511-1518, 1989.
DOI : 10.2307/1130939

T. Walden and T. Ogan, The Development of Social Referencing, Child Development, vol.59, issue.5, pp.1230-1240, 1988.
DOI : 10.2307/1130486

A. S. Walker-andrews, Intermodal perception of expressive behaviors: Relation of eye and voice? Developmental Psychology, pp.373-377, 1986.

A. S. Walker-andrews, Infants' perception of expressive behaviors: Differentiation of multimodal information., Psychological Bulletin, vol.121, issue.3, pp.437-456, 1997.
DOI : 10.1037/0033-2909.121.3.437

A. Walkers, Intermodal perception of expressive behaviors by human infants, Journal of Experimental Child Psychology, vol.33, issue.3, pp.514-535, 1982.
DOI : 10.1016/0022-0965(82)90063-7

H. Wallon, Les origines du caractère chez l'enfant. Paris: PUF, coll, 1987.

P. Weyers, A. Muhlberger, C. Hefele, P. , and P. , Electromyographic responses to static and dynamic avatar emotional facial expressions, Psychophysiology, vol.33, issue.5, pp.450-453, 2006.
DOI : 10.1037//0022-3514.78.1.105

B. Widrow and M. E. Hoff, Adaptive switching circuits, IRE WESCON, pp.96-104, 1960.

L. Wiskott, Phantom faces for face analysis, Pattern Recognition, vol.30, pp.586-191, 1991.

D. Wood, J. Bruner, R. , and G. , THE ROLE OF TUTORING IN PROBLEM SOLVING, Journal of Child Psychology and Psychiatry, vol.51, issue.1, pp.89-100, 1976.
DOI : 10.1037/h0033144

W. Wundt, Outlines of psychology, 1897.

F. Yang, M. Paindavoine, and N. Malasne, Localisation et reconnaissance de visages en temps réel avec un réseau de neurones rbf : Algorithme et architecture, Revue Traitement du Signal, vol.20, pp.353-373, 2003.

G. Yang and T. S. Huang, Human face detection in a complex background, Pattern Recognition, vol.27, issue.1, pp.53-63, 1994.
DOI : 10.1016/0031-3203(94)90017-5

J. Yang, W. Lu, and A. Waibel, Skin-color modeling and adaptation, ACCV '98: Proceedings of the Third Asian Conference on Computer Vision-Volume II, pp.687-694, 1997.
DOI : 10.1007/3-540-63931-4_278

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.2082

G. Young-browne, H. M. Rosenfeld, and F. D. Horowitz, Infant Discrimination of Facial Expressions, Child Development, vol.48, issue.2, pp.555-562, 1977.
DOI : 10.2307/1128653

K. Yow and R. Cipolla, Feature-based human face detection, Image and Vision Computing, vol.15, issue.9, pp.713-735, 1996.
DOI : 10.1016/S0262-8856(97)00003-6

J. Yu and B. Bhanu, Evolutionnary feature synthesis for facial expression recognition, Pattern Recognition Letters, 2006.

Z. Yucel, A. Salah, C. Mericli, M. , and T. , Joint visual attention modeling for naturally interacting robotic agents, 2009 24th International Symposium on Computer and Information Sciences, pp.242-247, 2009.
DOI : 10.1109/ISCIS.2009.5291820

A. Yuille, P. Hallinan, and D. Cohen, Feature extraction from faces using deformable templates, International Journal of Computer Vision, vol.26, issue.6, pp.99-111, 1992.
DOI : 10.1007/BF00127169

R. Yuste and D. W. Tank, Dendritic Integration in Mammalian Neurons, a Century after Cajal, Neuron, vol.16, issue.4, pp.701-716, 1996.
DOI : 10.1016/S0896-6273(00)80091-4