Title

A method to optimize a typology-based classification system

Document Type

Conference Proceeding

Publisher

Elsevier

Faculty

Faculty of Health, Engineering and Science

School

School of Exercise and Health Sciences

RAS ID

19169

Grant Number

Elsevier

Comments

This article was originally published as: Schnitzler C., Croft J., Button C., Ulmers M., Davids K. (2014). A method to optimize a typology-based classification system. Procedia Engineering. 72(), 9-13. Sheffield. Elsevier Ltd. Original article available here

Abstract

This study sought to provide guidelines for implementing typology-based qualitative analysis of human movement patterns. Fifteen participant-analysts were instructed how to classify treading water behaviours into eight different categories using a training set of videos. They were later provided with two additional sets of videos called validation, and test sets. Results first identified reliable (n=9), and not reliable (n=6) analysts. A decision study outlined that one analyst was sufficient to reliably categorize the behaviours in the 'reliable' analyst group, whereas up to four were necessary in the 'unreliable' group. These data provided new insights into more objective qualitative analysis methods for understanding human movement behaviours.

DOI

10.1016/j.proeng.2014.06.003

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