Corpus ID: 239954

Emotion Modeling and Machine Learning in Affective Computing

@inproceedings{Kim2014EmotionMA,
  title={Emotion Modeling and Machine Learning in Affective Computing},
  author={Keeyoung Kim},
  year={2014}
}
Affective computing is a computing related to, arise from, or influences emotions. Various emotion modeling and machine learning methods are used in affective computing. To explain human emotional states, psychologists developed various emotion models. Their models and methods have been adapted to affective computing. Machine learning, a field of study that gives computers the ability to learn without being explicitly programmed, is also essential to make computers deal with uncertain object… Expand
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