Description

While discrete emotions like joy, anger, disgust etc. are quite popular, continuous

emotion dimensions like arousal and valence are gaining popularity within the research

community due to an increase in the availability

While discrete emotions like joy, anger, disgust etc. are quite popular, continuous

emotion dimensions like arousal and valence are gaining popularity within the research

community due to an increase in the availability of datasets annotated with these

emotions. Unlike the discrete emotions, continuous emotions allow modeling of subtle

and complex affect dimensions but are difficult to predict.

Dimension reduction techniques form the core of emotion recognition systems and

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    Date Created
    • 2015
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  • Text
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    Note
    • Partial requirement for: Ph.D., Arizona State University, 2015
      Note type
      thesis
    • Includes bibliographical references (p. 141-146)
      Note type
      bibliography
    • Field of study: Computer science

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    by Prasanth Lade

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