Automated detection of pain from facial expressions: A rule-based approach using AAM

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 8314, Issue , 2012, Pages

  Chen, Zhanli ^a   Ansari, Rashid ^a   Wilkie, Diana J ^b  

^a University of Illinois at Chicago   (United States)

^b UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

Automated pain detection; Coefficient partitioning AAM; FACS; Rule based recognition

Indexed keywords

ACTION UNIT; ACTIVE APPEARANCE MODELS; AUTOMATED DETECTION; AUTOMATED METHODS; CANCER PATIENTS; COEFFICIENT PARTITIONING; COMPOSITIONAL METHOD; FACIAL ACTION; FACIAL ACTION CODING SYSTEM; FACIAL EXPRESSIONS; FACS; MUSCULAR MOVEMENTS; OBJECTIVE ASSESSMENT; RULE-BASED APPROACH; RULE-BASED METHOD; RULE-BASED RECOGNITION; SHAPE MODEL; VIDEO ANALYSIS;

DISEASES; FACE RECOGNITION; GESTURE RECOGNITION; HEALTH; MEDICAL IMAGING;

COMPUTER KEYBOARDS;

EID: 84860768752     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.912537     Document Type: Conference Paper

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