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Toward emotion recognition embodied in social robots : implementation of laban movement analysis into NAO robot

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EN
Abstrakty
EN
This research note focuses on human recognition of emotions embodied in a moving humanoid NAO robot. Emotional movements emulated on NAO intended to induce joy or sadness were presented to participants whose facial expressions were recorded and analysed with a Noldus FaceReader. Our preliminary results indicate reliable emotion recognition using the Laban choreographic approach in modelling robot’s affective gestures.
Twórcy
autor
  • Department of Cybernetics and Robotics, Electronics Faculty, Wroclaw University of Science and Technology, ul. Wybrzeże Wyspiańskiego 27, 50-370 Wroclaw, Poland, www: www.pwr.edu.pl
autor
  • SWPS University of Social Sciences and Humanities, Wrocław Faculty of Psychology, ul. Ostrowskiego 30b, 53-238 Wrocław, Poland, www: http://english.swps.pl/wroclaw/
autor
  • Department of Computer Science, Faculty of Computer Science and Management, Wroclaw University of Science and Technology, ul. Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland, www:www.pwr.edu.pl
  • Institute of Psychology, Faculty of Education, Psychology and Sociology, University of Zielona Góra, al. Wojska Polskiego 69, 65-762 Zielona Góra, Poland, www: http://psychologia.wpps.uz.zgora.pl/
Bibliografia
  • [1] E. I. Barakova and T. Lourens, “Expressing and interpreting emotional movements in social games with robots”, Personal and Ubiquitous Computing, vol. 14, no. 5, 2010, 457–467.
  • [2] A. Beck, L. Cañamero, A. Hiolle, L. Damiano, P. Cosi, F. Tesser, and G. Sommavilla, “Interpretation of emotional body language displayed by a humanoid robot: A case study with children”, International Journal of Social Robotics, vol. 5, no. 3, 2013, 325–334.
  • [3] C. Breazeal, K. Dautenhahn, and T. Kanda. Handbook of Robotics, chapter Social Robots. Springer, 2016.
  • [4] T. Cootes and C. Taylor. “Statistical models of appearance for computer vision. wolfson image analysis unit, imaging science and biomedical engineering, university of manchester”. Technical report, Online technical report, 2000.
  • [5] T. Lourens, R. van Berkel, and E. Barakova, “Communicating emotions and mental states to robots in a real time parallel framework using laban movement analysis”, Robotics and Autonomous Systems, vol. 58, no. 12, 2010, 1256 – 1265, Intelligent Robotics and Neuroscience.
  • [6] R. Meena, K. Jokinen, and G. Wilcock, “Integration of gestures and speech in human-robot interaction”. In: 2012 IEEE 3rd International Conference on Cognitive Infocommunications (CogInfoCom), 2012, 673–678.
  • [7] Noldus. FaceReader version 6. Reference Manual. Noldus Information Technology, 2014.
  • [8] S. Park, L. Moshkina, and R. C. Arkin. Intelligent Autonomous Systems 11, chapter Recognizing Nonverbal Affective Behavior in Humanoid Robots. IOS Press Ebooks, 2010.
  • [9] SoftBank Robotics, http://doc.aldebaran. com/2-1/home_nao.html. NAO Documentation.
  • [10] M. Tielman, M. Neerincx, J.-J. Meyer, and R. Looije, “Adaptive emotional expression in robot-child interaction”. In: Proceedings of the 2014 ACM/IEEE International Conference on Human-robot Interaction, New York, NY, USA, 2014, 407–414.
  • [11] H. Van Kuilenburg, M. Den Uyl, M. Israël, and P. Ivan, “Advances in face and gesture analysis”, Measuring Behavior 2008, 2008, 371.
  • [12] P. Viola and M. J. Jones, “Robust real-time face detection”, International journal of computer vision, vol. 57, no. 2, 2004, 137–154.
  • [13] L. Zhao. Synthesis and Acquisition of Laban Movement Analysis Qualitative Parameters for Communicative Gestures. PhD thesis, University of Pennsylvania, Philadelphia, PA, USA, 2001. AAI3015399.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
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Bibliografia
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