Research on the evaluation method of virtual clothing pressure comfort based on fuzzy clustering

At present, the evaluation of clothing comfort is mainly based on the subjective evaluation of the real fitting, which relies too much on the subjective will of the wearer, and the objectivity of the evaluation depends on further verification. With the continuous development of virtual fitting technology, it is possible to study the comfort of pressure based on virtual clothing. In this paper, a fuzzy clustering-based pressure comfort evaluation model for virtual clothing is proposed. Firstly, six pairs of posture stretch trousers based on different relaxation amounts and fabrics were designed, virtual fitting was carried out using CLO 3D software and static virtual pressure values of feature points were extracted. The pressure values were then converted to a five-point scale. Finally, the virtual pressure scores were clustered using the fuzzy clustering method to classify the virtual garment pressure comfort into three categories. The experimental results show that the fuzzy clustering method can be used for the evaluation of garment pressure comfort, and its significance is to provide an objective evaluation method for the evaluation of garment comfort.