NEURAL NETWORK ASSESSMENT OF FACIAL EMOTIONAL EXPRESSION

Award Information
Agency:
Department of Health and Human Services
Amount:
$48,540.00
Program:
SBIR
Contract:
N/A
Solitcitation Year:
N/A
Solicitation Number:
N/A
Branch:
N/A
Award Year:
1992
Phase:
Phase I
Agency Tracking Number:
19442
Solicitation Topic Code:
N/A
Small Business Information
American Research Corp Of Va
Po Box 3406, Radford, VA, 24143
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
N/A
Principal Investigator
 Richard R Avent Iii
 (703) 731-0655
Business Contact
Phone: () -
Research Institution
N/A
Abstract
THE NATIONAL INSTITUTE OF MENTAL HEALTH HAS IDENTIFIED THE NEED FOR METHODS OF ASSESSING EMOTIONAL BEHAVIOR TO ASSIST THE TRACKING OF NORMAL AND DEVIANT DEVELOPMENTAL PROCESSES. IN RESPONSE TO THIS NEED, WE WILL DEVELOP A NEURAL NETWORK-BASED MACHINE VISION SYSTEMS FOR EVALUATION OF EMOTIONAL STATE FROM FACIAL EXPRESSION. RESEARCH COMPARING THE RELATIVE CONTRIBUTION OF EXPRESSIVE CHANNELS IN HUMANS HAS SHOWN THAT OBSERVERS USE INFORMATION FROM FACIAL CUES MORE THAN ANY OTHER SOURCE TO DETERMINE AN INDIVIDUAL'S EMOTIONAL FRAME OF MIND. SPECIFIC AIMS OF THE RESEARCH INCLUDE EXTRACTION OF EDGE FEATURES FROM BLACK AND WHITE VIDEO IMAGERY OF HUMAN FACES, SELECTION OF OPTIMAL NEURAL NETWORK PARADIGMS FOR EXTRACTION AND ANALYSIS OF FACIAL FEATURES (SUCH AS EYES, EYE BROWS AND MOUTH), TRAINING AND TESTING OF THE SELECTED NEURAL NETWORKS, AND DESIGN OF AN INTERACTIVE USER INTERFACE. THE SIGNIFICANCE OF THIS EFFORT IS IN THE INNOVATIVE USE OF NEURAL NETWORKS FOR FACIAL FEATURE EXTRACTION AND ANALYSIS. SINCE NEURAL NETWORKS HAVE BEEN SHOWN TO BE MORE EFFECTIVE AT PATTERN RECOGNITION TASKS THAN TRADITIONAL METHODS IN SIMILAR APPLICATIONS, ARCOVA WILL DEMONSTRATE A PROOF-OF- CONCEPT SYSTEM FOR AUTOMATED MEASUREMENT OF HUMAN EMOTION WHICH IS SUPERIOR TO PRESENT TECHNIQUES.

* information listed above is at the time of submission.

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