Virtual Performance and Evaluation System of Garment Design Based on Kansei Engineering

The arrival of the experience economy tide has claimed the decision-making power of the garment industry shifted from the enterprise to the consumer. Enhancing the shopping experience is an essential part of attracting customers. Traditional clothing store design needs to be updated with cutting-edge technology. This paper presents a virtual fitting and evaluation system in virtual reality environment. Based on digital human body model data acquisition technology, three-dimensional human body visualization modeling for garment design process is carried out. The CLO3D technology is used to realize the three-dimensional design and virtual performance of clothing. Aiming at the cognitive differences between designers and consumers in fashion design, an explorative research was done based on the consumers’ perceptual cognition of clothing, which suggested an evaluation method for clothing based on perceptual image and established a perceptual cognition matching model between customers and designers. With the methods of expert interviews, questionnaires, focus groups, card classification, four evaluation dimensions of clothing design were extracted: overall style, appearance style, color&fabric, pressure perception and 11 corresponding evaluation factors. Taking business men’s wear as an example, an evaluation factor knowledge base and a general computer-aided clothing design emotional image evaluation system are constructed. Based on this system, consumers can get a new experience of immersive virtual fitting, and designers can quickly get consumers’ evaluation of clothing design to improve efficiency of clothing design.