Issue No.01 - Jan.-March (2012 vol.3)
M. McRorie , Sch. of Psychol., Queen's Univ. Belfast, Belfast, UK
I. Sneddon , Sch. of Psychol., Queen's Univ. Belfast, Belfast, UK
J. Hanratty , Sch. of Psychol., Queen's Univ. Belfast, Belfast, UK
For many years psychological research on facial expression of emotion has relied heavily on a recognition paradigm based on posed static photographs. There is growing evidence that there may be fundamental differences between the expressions depicted in such stimuli and the emotional expressions present in everyday life. Affective computing, with its pragmatic emphasis on realism, needs examples of natural emotion. This paper describes a unique database containing recordings of mild to moderate emotionally colored responses to a series of laboratory-based emotion induction tasks. The recordings are accompanied by information on self-report of emotion and intensity, continuous trace-style ratings of valence and intensity, the sex of the participant, the sex of the experimenter, the active or passive nature of the induction task, and it gives researchers the opportunity to compare expressions from people from more than one culture.
visual databases, emotion recognition, face recognition, psychology, continuous trace-style ratings, Belfast induced natural emotion database, psychological research, facial expression, emotion recognition, posed static photographs, emotional expressions, affective computing, laboratory-based emotion induction tasks, Databases, Decoding, Emotion recognition, IEEE Transactions on Affective Computing, Context, Encoding, Wires, affective annotation., Natural emotion, database, emotion induction, emotional corpora
M. McRorie, I. Sneddon, J. Hanratty, "The Belfast Induced Natural Emotion Database", IEEE Transactions on Affective Computing, vol.3, no. 1, pp. 32-41, Jan.-March 2012, doi:10.1109/T-AFFC.2011.26