Document Type
Conference Proceeding
Publisher
Elsevier
Faculty
Faculty of Health, Engineering and Science
School
School of Exercise and Health Sciences
RAS ID
19169
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
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Comments
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. Available here