A review of motion analysis methods for human nonverbal communication computing

Dimitris Metaxas, Shaoting Zhang

Research output: Contribution to journalReview articlepeer-review

39 Scopus citations

Abstract

Human Nonverbal Communication Computing aims to investigate how people exploit nonverbal aspects of their communication to coordinate their activities and social relationships. Nonverbal behavior plays important roles in message production and processing, relational communication, social interaction and networks, deception and impression management, and emotional expression. This is a fundamental yet challenging research topic. To effectively analyze Nonverbal Communication Computing, motion analysis methods have been widely investigated and employed. In this paper, we introduce the concept and applications of Nonverbal Communication Computing and also review some of the motion analysis methods employed in this area. They include face tracking, expression recognition, body reconstruction, and group activity analysis. In addition, we also discuss some open problems and the future directions of this area.

Original languageEnglish (US)
Pages (from-to)421-433
Number of pages13
JournalImage and Vision Computing
Volume31
Issue number6-7
DOIs
StatePublished - 2013

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Vision and Pattern Recognition

Keywords

  • Face tracking
  • Facial expression recognition
  • Gesture recognition
  • Group activity analysis
  • Motion analysis
  • Nonverbal communication computing

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