PT Chapter
AU Rain Eric Haamer
   Eka Rusadze
   Iiris Lusi
   Tauseef Ahmed
   Sergio Escalera
   Gholamreza Anbarjafari
TI Review on Emotion Recognition Databases
BT Human-Robot Interaction: Theory and Application
PY 2018
DI 10.5772/intechopen.72748
DE emotion; computer vision; databases
AB 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.
ER