t072050-proceedings-02-00231-v2.pdf (821.85 kB)
Analysis of Thermal-Regulation and Comfort Associated with User Perceptions and Garment Performance
conference contribution
posted on 2018-01-01, 00:00 authored by Paul Collins, Rory PurdieRory Purdie, Kris HinckKris Hinck, Chelsea Leissner, Bart Scicchitano, Robert Gathercole, Clara Usma-MansfieldClara Usma-MansfieldThis study is designed to understand post-exercise comfort perceptions by exploring the relationship between users and garments. Influenced by new technologies from fibres, manufacturing techniques, and surface coatings athletic apparel is changing. These technologies can influence the quality of daily pursuits, and by assessing psychological and physiological responses to physical activity, it’s possible to optimise garment performance. To that end, this paper presents a qualitative and quantitative analysis of thermal regulation and comfort perceptions within a controlled laboratory environment. A group of eleven healthy athletic female participants performed a twenty-minute high-intensity interval training running session (HIIT) and subsequent transition activity period. Participants had vitals monitored and were periodically prompted with specific questions to gauge their perceptions of effort, temperature, exertion, and comfort. The results suggest that perceptual differences are minor when evaluating apparel design during high-intensity exercise, and perhaps the efforts of garment design optimization would be best placed in an immediately subsequent activity type.
History
Event
International Sports Engineering Association. Conference (12th : 2018 : Brisbane, Qld.)Volume
2Issue
6Pagination
1 - 6Publisher
MDPI AGLocation
Brisbane, Qld.Place of publication
Basel, SwitzerlandPublisher DOI
Link to full text
Start date
2018-03-26End date
2018-03-29ISSN
2504-3900Language
engNotes
Article No. 231Publication classification
E1 Full written paper - refereedTitle of proceedings
ISEA 2018 : Proceedings of the 12th International Sports Engineering Association ConferenceUsage metrics
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