Probabilistic multisensory emotion estimation framework for assistive robotic applications

AAAI Fall Symposium - Technical Report

Volumn FS-08-02, Issue , 2008, Pages 92-99

  Sancho Pradel, Dario L ^a,b   Nikolova, Elena G ^b  

^a UNIVERSITY OF SURREY   (United Kingdom)

^b UNIVERSITY OF BREMEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CUSTOMER SATISFACTION; DATA FUSION; ROBOTICS;

ASSISTIVE ROBOTICS; CIRCUMPLEX MODELS; CONTEXT-BASED; EMOTION ESTIMATION; EMOTION RECOGNITION; EMOTIONAL VALENCES; HUMAN MACHINE INTERACTION; IMPAIRED PEOPLE;

HUMAN COMPUTER INTERACTION;

EID: 65649123027     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (26)

1. Annicchiarico, R.; Cortes, U.; Federici, A.; Campana, F.; Barrue, C; Martinez, A. B.; and Caltagirone, C. 2007. The Impact of Cognitive Navigation Assistance on People with Special Needs. In IWANN 2007, San Sebastian, Spain, 1060-1066. Springer-Verlag.
2. Anttonen, J., and Surakka, V. 2005. Emotions and Heart Rate while Sitting on a Chair. In Proceeding of Computer Human Interaction 2005, CHI2005, Portland, Oregon, USA.
3. Barrue, C; Cortes, U.; and Annicchiarico, R. 2007. Shared Autonomy in Assistive Technologies. InIWANN 2007, San Sebastian, Spain, 1067-1073. Springer-Verlag.
4. Bradley, M. 2000. Emotion and motivation. New York: Cambridge University Press. 602-642.
5. Chatfield, C. 2003. The Analysis of Time Series: An Introduction. Texts in Statistical Science. Chapman & Hall/CRC, 6 edition.
6. Cichosz, J., and Slot, K. 2005. Low-dimensional feature space derivation for emotion recognition. In INTERSPEECH-Eurospeech, 477-480.
7. Desmet, P., and Hekkert, P. 2007. Framework of product experience. International Journal of Design 1(1):357-66.
8. Ekman, P. 1992. An argument for basic emotions. Cognition and Emotion 6:169-200.
9. Fragopanagos, N., and Taylor, J. 2005. Emotion recognition in human-computer interaction. Neural Networks, Special Issue 18:389-405.
10. Herbelin, B.; Benzaki, P.; Riquier, F; Renault, O.; and Thalmann, D. 2004. Using physiological measures for emotional assessment: a computer-aided tool for cognitive and behavioural therapy. In Proc. 5th Intl Conf. Disability, Virtual Reality and Assoc. Tech., Oxford, UK.
11. Jang, J.-S. 1993. ANFIS: adaptive-network-based fuzzy inference system. IEEE Transactions on Systems, Man and Cybernetics 23:665-685.
12. Jones, C. M., and Jonsson, L-M. 2005. Automatic recognition of affective cues in the speech of car drivers to allow appropriate responses. In OZCHI '05: Proceedings of the 19th conference of the computer-human interaction special interest group (CHISlG) of Australia on Computer-human interaction, 1-10. Computer-Human Interaction Special Interest Group (CHISIG) of Australia.
13. Lang, P.; M.Greenwald; Bradley, M.; and Hamm, A. 1993. Looking at pictures: Affective, facial, visceral, and behavioral reactions. Psychophysiology 30:261-273.
14. Mandel, C; Huebner, K.; and Vierhuff, T. 2005. Towards an autonomous wheelchair: Cognitive aspects in service robotics. In Proceedings of Towards Autonomous Robotic Systems (TAROS 2005), 165-172.
15. Mandryk, R. L., and Atkins, M. S. 2006. A fuzzy physiological approach for continuously modeling emotion during interaction with play technologies. Elsevier. Int. J. Human-Computer Studies doi:10.1016/j,ijhcs.2006.11.011.
16. McQuiggan, S.; Lee, S.; and Lester, J. 2006. Predicting user physiological response for interactive environments: an inductive approach. In Proceedings 2nd Artificial Intelligence for Interactive Digital Entertainment Conference, AAAI Press, 60-65.
17. Minguez, J., and Montano, L. 2004. Nearness diagram (nd) navigation: Collision avoidance in troublesome scenarios. IEEE Transactions on Robotics and Automation 20(1).
18. Panksepp, J. 1998. Affective neuroscience: The foundations of human and animal emotions. New York: Oxford University Press.
19. Posner, J.; Russel, J. A.; and Peterson, B. S. 2005. The circumplex model of affect: An integrative approach to affective neuroscience, cognitive development, and psychopathology. Development and Psychopathology 17:715-734.
20. Russell, J., and Fehr, B. 1994. Fuzzy concepts in a fuzzy hierarchy: Varieties of anger. Journal of Personality and Social Psychology 67:186-205.
21. Russell, J. A. 1980. A circumplex model of affect. Journal of Personality and Social Psychology 39:345-356.
22. Simpson, R. C. 2005. Smart wheelchairs: A literature review. IEEE Transactions on Robotics and Automation 42(4):423-436.
23. Thrun, S.; Burgard, W.; and Fox, D. 2005. Probabilistic Robotics. The MIT Press.
24. Tomkins, S. S. 1962-1963. Affect, imagery, consciousness Vols. I & II. New York: Springer.
25. Vidrascu, L., and Devillers, L. 2007. Five emotion classes detection in real-world call center data: the use of various types of paralinguistic features, In ParaLing'07, 16th International Conference on Phonetic Sciences, Saarbrcken, Germany.
26. Witten, I. H., and Frank, E. 2005. Data Mining. Practical Machine Learning Tools and Techniques. The Morgan Kaufmann Seríes in Data Management Systems. Morgan Kaufmann, 2 edition.