dc.contributor.author |
Cowie, R |
en |
dc.contributor.author |
Douglas-Cowie, E |
en |
dc.contributor.author |
Tsapatsoulis, N |
en |
dc.contributor.author |
Votsis, G |
en |
dc.contributor.author |
Kollias, S |
en |
dc.contributor.author |
Fellenz, W |
en |
dc.contributor.author |
Taylor, J |
en |
dc.date.accessioned |
2014-03-01T01:50:44Z |
|
dc.date.available |
2014-03-01T01:50:44Z |
|
dc.date.issued |
2001 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/26097 |
|
dc.subject |
Emotion Recognition |
en |
dc.subject |
Human Computer Interaction |
en |
dc.subject |
Human Interaction |
en |
dc.subject |
Hybrid System |
en |
dc.subject |
Signal Processing |
en |
dc.title |
Emotion recognition in human-computer interaction |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1109/79.911197 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/79.911197 |
en |
heal.publicationDate |
2001 |
en |
heal.abstract |
Two channels have been distinguished in human interaction: one transmits explicit messages, which may be about anything or nothing; the other transmits implicit messages about the speakers themselves. Both linguistics and technology have invested enormous efforts in understanding the first, explicit channel, but the second is not as well understood. Understanding the other party's emotions is one of the key |
en |
heal.journalName |
IEEE Signal Processing Magazine |
en |
dc.identifier.doi |
10.1109/79.911197 |
en |