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Author (up) Rain Eric Haamer; Eka Rusadze; Iiris Lusi; Tauseef Ahmed; Sergio Escalera; Gholamreza Anbarjafari edit  doi
isbn  openurl
  Title Review on Emotion Recognition Databases Type Book Chapter
  Year 2018 Publication Human-Robot Interaction: Theory and Application Abbreviated Journal  
  Volume Issue Pages  
  Keywords emotion; computer vision; databases  
  Abstract Over the past few decades human-computer interaction has become more important in our daily lives and research has developed in many directions: memory research, depression detection, and behavioural deficiency detection, lie detection, (hidden) emotion recognition etc. Because of that, the number of generic emotion and face databases or those tailored to specific needs have grown immensely large. Thus, a comprehensive yet compact guide is needed to help researchers find the most suitable database and understand what types of databases already exist. In this paper, different elicitation methods are discussed and the databases are primarily organized into neat and informative tables based on the format.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-1-78923-316-2 Medium  
  Area Expedition Conference  
  Notes HUPBA; 602.133 Approved no  
  Call Number Admin @ si @ HRL2018 Serial 3212  
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