BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Emotion recognition in human-computer interaction - Tal Sobol-Shik
 ler and Lorna Brown
DTSTART:20070104T110000Z
DTEND:20070104T123000Z
UID:TALK6138@talks.cam.ac.uk
CONTACT:Alan Blackwell
DESCRIPTION:Emotion recognition in human-computer interaction. \n\nCowie\,
  R.\, Douglas-Cowie\, E.\, Tsapatsoulis\, N.\, Votsis\, G.\,\nKollias\, S.
 \, Fellenz\, W. and Taylor\, J.G. (2001).\n\nIEEE Signal Processing Magazi
 ne 18(1)\, 32-80 \n\nTwo channels have been distinguished in human interac
 tion: one\ntransmits explicit messages\, which may be about anything or\nn
 othing\; the other transmits implicit messages about the speakers\nthemsel
 ves. Both linguistics and technology have invested\nenormous efforts in un
 derstanding the first\, explicit channel\,\nbut the second is not as well 
 understood. Understanding the other\nparty's emotions is one of the key ta
 sks associated with the\nsecond\, implicit channel. To tackle that task\, 
 signal processing\nand analysis techniques have to be developed\, while\, 
 at the same\ntime\, consolidating psychological and linguistic analyses of
 \nemotion. This article examines basic issues in those areas. It is\nmotiv
 ated by the PKYSTA project\, in which we aim to develop a\nhybrid system c
 apable of using information from faces and voices\nto recognize people's e
 motions \n\nhttp://dx.doi.org/10.1109/79.911197\n\nActual paper PDF (9.4 M
 B) is at: http://tinyurl.com/wfzcb
LOCATION:Seminar Room FW11\, Computer Laboratory
END:VEVENT
END:VCALENDAR