Award Abstract #0627822
CRI:COLLABORATIVE RESEARCH: Automated facial expression measurement toolbox and database
NSF Org: |
CNS
Division of Computer and Network Systems
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Initial Amendment Date: |
June 15, 2006 |
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Latest Amendment Date: |
September 7, 2006 |
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Award Number: |
0627822 |
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Award Instrument: |
Continuing grant |
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Program Manager: |
Jie Yang
CNS Division of Computer and Network Systems
CSE Directorate for Computer & Information Science & Engineering
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Start Date: |
February 10, 2006 |
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Expires: |
June 30, 2008 (Estimated) |
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Awarded Amount to Date: |
$154972 |
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Investigator(s): |
Mark Frank mfrank83@buffalo.edu (Principal Investigator)
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Sponsor: |
SUNY at Buffalo
501 Capen Hall
Buffalo, NY 14260 716/645-5000
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NSF Program(s): |
COMPUTING RES INFRASTRUCTURE
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Field Application(s): |
0000912 Computer Science
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Program Reference Code(s): |
HPCC, 9218
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Program Element Code(s): |
7359
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ABSTRACT
Abstract
Program: NSF 04-588 CISE Computing Research Infrastructure
Title: CRI: COLLABORATIVE RESEARCH: Automated facial expression measurement: toolbox and database
Lead Proposal: CNS 0454233
PI: Marian S. Bartlett
Institution: University of California-San Diego
Proposal CNS 0454183
PI: Mark Frank
Institution: Rutgers University New Brunswick
This community resource project will package and release to the CISE research community a collection of software tools for vision based perceptual primitives for human-computer interaction studies and a database of facial expressions that has been coded by facial expression experts. The tools enable recognition of basic emotions and facial actions from the Facial Action Coding Systems (FACS). The tools and database have been developed with experts from machine learning and facial expression fields. Broader impacts of this community resource include enabling research and education in this area for a broader community in the U.S., use of automated facial expression in education and machine tutoring applications, enabling advances in computer vision, enabling advances in behavioral science and medicine related to emotion, cognition, and human-machine communication, and applications in homeland security.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
(Showing: 1 - 1 of 1).
Bartlett, M.S., Littlewort, G.C., Lainscsek, C., Fasel, I., Frank, M.G., Movellan, J.R..
"Fully automatic facial action recognition in spontaneous behavior.,"
Journal of Multimedia,
v.6,
2006,
p. 22.
(Showing: 1 - 1 of 1).
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