Generalization of a Vision-Based Computational Model of Mind-Reading

This paper describes a vision-based computational model of mind-reading that infers complex mental states from head and facial expressions in real-time. The generalization ability of the system is evaluated on videos that were posed by lay people in a relatively uncontrolled recording environment fo...

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Bibliographic Details
Published inAffective Computing and Intelligent Interaction pp. 582 - 589
Main Authors el Kaliouby, Rana, Robinson, Peter
Format Book Chapter Conference Proceeding
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2005
Springer
SeriesLecture Notes in Computer Science
Subjects
Applied sciences
Artificial intelligence
Basic Emotion
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Dynamic Bayesian Network
Exact sciences and technology
Facial Action Code System
Facial Display
Facial Expression
Pattern recognition. Digital image processing. Computational geometry
Software
Computer vision
Head
Man machine system
User interface
Facies
Video signal
Cognition
Real time
Modeling
Facial expression
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Summary:This paper describes a vision-based computational model of mind-reading that infers complex mental states from head and facial expressions in real-time. The generalization ability of the system is evaluated on videos that were posed by lay people in a relatively uncontrolled recording environment for six mental states—agreeing, concentrating, disagreeing, interested, thinking and unsure. The results show that the system’s accuracy is comparable to that of humans on the same corpus.
ISBN:3540296212
9783540296218
ISSN:0302-9743
1611-3349
DOI:10.1007/11573548_75