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    Using Intel’s Realsense Camera to Detect Emotion in Facial Expressions : A Validity Study

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    LosbanosSpr16.pptx (1009.Kb)
    LosbanosSpr16.pdf (1.446Mb)
    Date
    2017-04-03
    Author
    Losbanos, Louis
    Zamarripa, Emilie
    Hines, Jarrod
    Metadata
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    Abstract
    Most researchers recognize six universal, basic human emotions: surprise, fear, disgust, anger, happiness and sadness (Busso et al., 2004). Researchers typically identify emotions through the coding of facial markers, speech (e.g., Busso et al., 2004), and physiological features (e.g., heart rate, skin resistance, blood pressure; e.g., Leon et al., 2007). However, these techniques require a substantial investment of time and effort. The current work examined the utility of Intel’s (2015) RealSense USB PC camera and accompanying software as a complement or replacement for these more intensive techniques. If the RealSense camera offers valid, reliable, and efficient ratings of participants’ facial expressions, current emotion research may be simplified and new research areas may more easily include emotional data.
    Subject
    Emotions
    Facial expression
    Posters
    Permanent Link
    http://digital.library.wisc.edu/1793/76278
    Description
    Color poster with text and images.
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    • Student Research Day

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