%0 Book Section
%T Review on Emotion Recognition Databases
%A Rain Eric Haamer
%A Eka Rusadze
%A Iiris Lusi
%A Tauseef Ahmed
%A Sergio Escalera
%A Gholamreza Anbarjafari
%B Human-Robot Interaction: Theory and Application
%D 2018
%@ 978-1-78923-316-2
%F Rain Eric Haamer2018
%O HUPBA; 602.133
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=3212), last updated on Tue, 12 Feb 2019 12:56:18 +0100
%X 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.
%K emotion
%K computer vision
%K databases
%U http://dx.doi.org/10.5772/intechopen.72748