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Digitizing archetypal human experience through pshysiological signals

Author
Ivonin, L.
Type of activity
Theses
Defense's date
2014-05-14
URL
http://hxresearch.org/pdf/Thesis_Full_Text.pdf Open in new window
Abstract
The problem of capturing human experience is relevant in many application domains. In fact, the process of describing and sharing individual experience lies at the heart of human culture. Throughout the courses of our lives we learn a great deal of information about the world from other people’s experience. Besides the ability to share utilitarian experience such as whether a particular plant is poisonous, humans have developed a sophisticated competency of social signaling that enables us to ...
Keywords
Affective computing, Archetype, Emotion, Machine learning, Modeling, Psychology, Psychophysiology, Unconscious
Group of research
CETpD - Technical Research Centre for Dependency Care and Autonomous Living
ISSET - Integrated Smart Sensors and Health Technologies

Participants

  • Ivonin, Leonid  (author)
  • Brombacher, A.C.  (member of the tribunal )
  • Rauterberg, Mattias  (director)
  • Català Mallofré, Andreu  (director)
  • Chen, Wei  (Codirector)
  • Diaz Boladeras, Marta  (member of the tribunal )
  • Feijs, L.M.G.  (member of the tribunal )