How Do You Feel? Your Computer Knows.
The article provides information on affective computing. It is described as an attempt to determine a user's mood or emotion through visual, auditory, physiological and behavioral cues. Computing researchers are developing systems that attempt to measure both short-term, responsive phenomena and lon...
| Publicado en: | Communications of the ACM Vol. 57; no. 1; pp. 24 - 27 |
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| Formato: | Artículo |
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Association for Computing Machinery
Jan2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=93471641&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 93471641 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Jan2014 vid: 57 iid: 1 pid: 68 pub: Association for Computing Machinery artinfo: ui: 93471641 10.1145/2555809 ppf: 24 ppct: 3 formats: tig: atl: How Do You Feel? Your Computer Knows. aug: au: Geller, Tom su: Computers & psychology Affect (Psychology) Emotions Mood (Psychology) Computer systems Gabor filters Machine learning Web browsers sug: subj: Computers & psychology Affect (Psychology) Emotions Mood (Psychology) Computer systems Gabor filters Machine learning Web browsers ab: The article provides information on affective computing. It is described as an attempt to determine a user's mood or emotion through visual, auditory, physiological and behavioral cues. Computing researchers are developing systems that attempt to measure both short-term, responsive phenomena and longer-term moods. The Computer Expression Recognition Toolbox (CERT), developed by the Machine Perception Laboratory at the University of California-San Diego, uses Gabor filters at multiple orientations, which are mapped to facial units via machine learning. Mood Sense, a research collaboration between Microsoft Research Asia and Rice University in Houston, Texas, correlates user feelings only to communication behaviors and user interactions with applications and the Web browser. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2014 holdings: @attributes: islocal: N |
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