text-only page produced automatically by LIFT Text Transcoder Skip all navigation and go to page contentSkip top navigation and go to directorate navigationSkip top navigation and go to page navigation
National Science Foundation
Search  
Awards
design element
Search Awards
Recent Awards
Presidential and Honorary Awards
About Awards
Grant Policy Manual
Grant General Conditions
Cooperative Agreement Conditions
Special Conditions
Federal Demonstration Partnership
Policy Office Website


Award Abstract #0627822
CRI:COLLABORATIVE RESEARCH: Automated facial expression measurement toolbox and database


NSF Org: CNS
Division of Computer and Network Systems
divider line
divider line
Initial Amendment Date: June 15, 2006
divider line
Latest Amendment Date: September 7, 2006
divider line
Award Number: 0627822
divider line
Award Instrument: Continuing grant
divider line
Program Manager: Jie Yang
CNS Division of Computer and Network Systems
CSE Directorate for Computer & Information Science & Engineering
divider line
Start Date: February 10, 2006
divider line
Expires: June 30, 2008 (Estimated)
divider line
Awarded Amount to Date: $154972
divider line
Investigator(s): Mark Frank mfrank83@buffalo.edu (Principal Investigator)
divider line
Sponsor: SUNY at Buffalo
501 Capen Hall
Buffalo, NY 14260 716/645-5000
divider line
NSF Program(s): COMPUTING RES INFRASTRUCTURE
divider line
Field Application(s): 0000912 Computer Science
divider line
Program Reference Code(s): HPCC, 9218
divider line
Program Element Code(s): 7359

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).

 

Please report errors in award information by writing to: awardsearch@nsf.gov.

 

 

Print this page
Back to Top of page
  Web Policies and Important Links | Privacy | FOIA | Help | Contact NSF | Contact Web Master | SiteMap  
National Science Foundation
The National Science Foundation, 4201 Wilson Boulevard, Arlington, Virginia 22230, USA
Tel: (703) 292-5111, FIRS: (800) 877-8339 | TDD: (800) 281-8749
Last Updated:
April 2, 2007
Text Only


Last Updated:April 2, 2007