Corpus ID: 11061166

Recognition of Facial Expressions in Image Sequence using Multi-Class

@inproceedings{SVM2016RecognitionOF,
  title={Recognition of Facial Expressions in Image Sequence using Multi-Class},
  author={SVM},
  year={2016}
}
  • SVM
  • Published 2016
Facial expression conveys the emotional state of an individual to observers, which is in the form of nonverbal communication. Recognition of facial expression plays a vital role in the field of Human Machine Interfaces (HMIs). Most of the existing automated system regarding facial expression has an impact over recognition rate. The seven facial expressions used in this work are happy, surprise, sad, fear, anger, disgust, and neutral. This paper proposes the Multi-class SVM to obtain high… Expand

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