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Title:
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EMOTIONAL STATE INFERENCE USING FACE RELATED FEATURES |
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Author(s):
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Marco Anisetti , Valerio Bellandi , Ernesto Damiani , Gwanggil Jeon , Jechang Jeong , Silvia Sellitto |
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ISBN:
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978-972-8924-85-0 |
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Editors:
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Katherine Blashki |
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Year:
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2009 |
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Edition:
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Single |
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Keywords:
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Emotion Recognition, Human Machine Interaction. |
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Type:
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Short Paper |
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First Page:
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165 |
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Last Page:
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170 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Obtaining reliable and complete systems able to extract human emotional status from streaming videos is of paramount
importance to Human Machine Interaction (HMI) applications. Side views, unnatural postures and context are challenges.
This paper presents a semi-supervised fuzzy emotional classification system based on Russell's circumplex model. This
emotional inference system relies only on face related features codified with the Facial Action Coding System (FACS).
These features are provided by a morphable 3D tracking system robust to posture, occlusion and illumination changes. |
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