Pattern classification of kinematic and kinetic running data to distinguish gender, shod/barefoot and injury groups with feature ranking

Computer Methods in Biomechanics and Biomedical Engineering

Volumn 15, Issue 5, 2012, Pages 467-474

  Eskofier, Bjoern M ^a   Kraus, Martin ^b   Worobets, Jay T ^a   Stefanyshyn, Darren J ^a   Nigg, Benno M ^a  

^a UNIVERSITY OF CALGARY   (Canada)

^b UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

AdaBoost; Biomechanical group classification; Feature ranking; Generic features; Patellofemoral pain syndrome; Pattern classification

Indexed keywords

BIOMECHANICAL DATA; BIOMECHANICAL MEASUREMENT; CLASSIFICATION RATES; CLASSIFICATION TASKS; FEATURE RANKING; GENERIC FEATURES; GROUP CLASSIFICATION; INPUT SIGNAL; KINEMATIC DATA; PATELLOFEMORAL PAIN SYNDROMES; RUNNING INJURIES; SINGLE VARIABLE;

ADAPTIVE BOOSTING; BIOMECHANICS; DISEASES; KINEMATICS; PATTERN RECOGNITION;

SOCIAL SCIENCES;

ADULT; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOMECHANICS; CLASSIFICATION; COMPARATIVE STUDY; EVALUATION; FEMALE; HUMAN; LONGITUDINAL STUDY; MALE; METHODOLOGY; MIDDLE AGED; PATELLOFEMORAL PAIN SYNDROME; PATHOPHYSIOLOGY; PHYSIOLOGY; PROSPECTIVE STUDY; RUNNING; SEXUAL DEVELOPMENT; SHOE; SPORT INJURY; STATISTICS; VALIDATION STUDY;

ADULT; ATHLETIC INJURIES; BIOMECHANICS; FEMALE; HUMANS; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; PATELLOFEMORAL PAIN SYNDROME; PATTERN RECOGNITION, AUTOMATED; PROSPECTIVE STUDIES; RUNNING; SEX CHARACTERISTICS; SHOES; YOUNG ADULT;

EID: 84860742615     PISSN: 10255842     EISSN: 14768259     Source Type: Journal    
DOI: 10.1080/10255842.2010.542153     Document Type: Article

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