Comfort perception of tight winter-based sportswear
International Journal of Clothing Science and Technology
ISSN: 0955-6222
Article publication date: 22 November 2022
Issue publication date: 22 March 2023
Abstract
Purpose
In order to study the static and dynamic comfort of tight sportswear in winter, the subjective comfort was aimed to be evaluated by collecting sensory data such as humidity feeling, cold feeling and other perceptions. In this paper, the experiment was divided into standing, squatting, jumping, jogging, walking and so on.
Design/methodology/approach
Through particle swarm optimization-cuckoo search model, the sensory factors that affect the overall comfort were optimized, and it was found that there were great differences in the overall comfort factors under different motions. Then, analytic hierarchy process was used to sort the optimized sensory indicators in each experimental stage, and the influence degree of sensory indicators was studied. Finally, by the long short-term memory (LSTM) model, taking comfort senses of standing, squatting, jumping and jogging as input parameters, and regarding comfort senses of walking, lifting legs and resting as output parameters, the prediction model was founded.
Findings
The results showed that there were certain differences between the prediction value and the real subjective evaluation value, but most of the predicted values were consistent with the real values on the sensory level, and the overall prediction level was good, which meant that the LSTM model had more accurate prediction ability for subjective evaluation and could be extended to other sports.
Originality/value
The research results could provide scientific methods for the design of tight-fitting sportswear in winter.
Keywords
Acknowledgements
Pengpeng Cheng did the major planning of the corrections approaches, carried out the model's analysis and did the major writing of the article. Prof. Jianping Wang and Prof. Xianyi Zeng put forward some data collecting methods in the field for validation and gave some advice on discussing and commenting on the paper. Prof. Pascal BRUNIAUX and Prof. Daoling Chen helped to check English grammar and assisted to do the data analysis.
Funding: This paper was financially supported by China Scholarship Council and Fujian Province Social Science Planning Project (FJ2020C049).
Declaration of competing interest: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Citation
Cheng, P. (2023), "Comfort perception of tight winter-based sportswear", International Journal of Clothing Science and Technology, Vol. 35 No. 2, pp. 214-233. https://doi.org/10.1108/IJCST-03-2021-0037
Publisher
:Emerald Publishing Limited
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