title: Determining the optimal size for posture categories used in video-based posture assessment methods.
abstract: Currently, there are no standards for the development of posture classification systems used in observation-based ergonomic posture assessment methods. This study was conducted to determine if an optimal posture category size for different body segments and posture views could be established by examining the trade-off between magnitude of error and the number of posture category misclassification errors made. Three groups (trunk flexion/extension and lateral bend; shoulder flexion/extension and adduction/abduction; elbow flexion/extension) of 30 participants each selected postures they perceived to correctly represent the video image shown on a computer screen. For each view, 10 images were presented for five different posture category sizes, three times each. The optimal posture category sizes established were 30 degrees for trunk, shoulder and elbow flexion/extension, 30 degrees for shoulder adduction/abduction and 15 degrees for trunk lateral bend, suggesting that posture category size should be based on the body segment and view of the image being assessed. Across all conditions, the posture category sizes were comparable to those used in published ergonomic tools.
authors.affiliation: Department of Kinesiology, University of Windsor, Windsor, ON, Canada.
authors.forename: Paula M
authors.initials: PM
authors.lastname: van Wyk
authors.forename: Patricia L
authors.initials: PL
authors.lastname: Weir
authors.forename: David M
authors.initials: DM
authors.lastname: Andrews
authors.forename: Krysia M
authors.initials: KM
authors.lastname: Fiedler
authors.forename: Jack P
authors.initials: JP
authors.lastname: Callaghan
mesh_terms: D000293:Adolescent; D053587:Arthrometry, Articular / Q000295:instrumentation*; D003626:Data Display; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008328:Man-Machine Systems; D011187:Posture; D055815:Young Adult