Abstract:
Databases containing representative samples of
human multi-modal expressive behavior are needed for the
development of affect recognition systems. However, at present
publicly-available databases exist mainly for single expressive
modalities such as facial expressions, static and dynamic hand
postures, and dynamic hand gestures. Only recently, a first
bimodal affect database consisting of expressive face and upperbody
display has been released. To foster development of affect
recognition systems, this paper presents a comprehensive survey
of the current state-of-the art in affect database creation from
face and body display and elicits the requirements of an ideal
multi-modal affect database.
