Improved gender classification using nonpathological gait kinematics in full-motion video

IEEE Transactions on Human-Machine Systems

Volumn 45, Issue 3, 2015, Pages 304-314

  Flora, Jeffrey B ^a   Lochtefeld, Darrell F ^b   Bruening, Dustin A ^b   Iftekharuddin, Khan M ^a  

^a Old Dominion University   (United States)

^b AIR FORCE RESEARCH LABORATORY   (United States)

Author keywords

Gender classification; human factors; principal component analysis (PCA); support vector machine (SVM)

Indexed keywords

CLASSIFICATION (OF INFORMATION); HUMAN ENGINEERING; KINEMATICS; MOTION ANALYSIS; RADIAL BASIS FUNCTION NETWORKS; SOCIAL SCIENCES; STATISTICAL METHODS; STATISTICAL TESTS; SUPPORT VECTOR MACHINES;

CONTROLLED ENVIRONMENT; EXPERIMENTAL TESTING; GENDER CLASSIFICATION; LARGE-SCALE DATASETS; LEAVE-ONE-OUT CROSS VALIDATIONS; MOTION CAPTURE DATA; MOTION INFORMATION; RADIAL BASIS FUNCTIONS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 85027957225     PISSN: 21682291     EISSN: None     Source Type: Journal    
DOI: 10.1109/THMS.2015.2398732     Document Type: Article

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