Facial expression and gesture analysis for emotionally-rich man-machine interaction
File(s)
Date Issued
2005
Abstract
This chapter presents a holistic approach to emotion modeling and analysis
and their applications in Man-Machine Interaction applications. Beginning
from a symbolic representation of human emotions found in this context,
based on their expression via facial expressions and hand gestures, we
show that it is possible to transform quantitative feature information from
video sequences to an estimation of a user’s emotional state. While these
features can be used for simple representation purposes, in our approach
they are utilized to provide feedback on the users’ emotional state, hoping
to provide next-generation interfaces that are able to recognize the
emotional states of their users.
and their applications in Man-Machine Interaction applications. Beginning
from a symbolic representation of human emotions found in this context,
based on their expression via facial expressions and hand gestures, we
show that it is possible to transform quantitative feature information from
video sequences to an estimation of a user’s emotional state. While these
features can be used for simple representation purposes, in our approach
they are utilized to provide feedback on the users’ emotional state, hoping
to provide next-generation interfaces that are able to recognize the
emotional states of their users.