TY  - CHAP
AU  - Rain Eric Haamer
AU  - Eka Rusadze
AU  - Iiris Lusi
AU  - Tauseef Ahmed
AU  - Sergio Escalera
AU  - Gholamreza Anbarjafari
PY  - 2018//
TI  - Review on Emotion Recognition Databases
BT  - Human-Robot Interaction: Theory and Application
KW  - emotion
KW  - computer vision
KW  - databases
N2  - 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.
SN  - 978-1-78923-316-2
UR  - http://dx.doi.org/10.5772/intechopen.72748
N1  - HUPBA; 602.133
ID  - Rain Eric Haamer2018
ER  -