Virtual fitting of personalised knitwear based on 3d anthropometry

Abstract

With personalised knitwear many of the drawbacks of mass-produced garments can be tackled, e.g. bad fit, overstock, lack of individualisation. A major challenge with personalised knitwear, however, is that the customer can not physically try the garment before purchase. Virtual fitting is an emerging area that has the potential to replace physical fitting. This paper addresses the development of two different procedures for the virtual fitting of a sweater. For online shopping a 3D avatar was used based on Do It Yourself measurements of the body (with the help of statistical based prediction of body measurements). For the in-shop tool a 3D avatar was made based on body measurements taken from the customer by a skilled person or an advisor. To support both tools, a concept design of the interface was made based on Clo3D (design software for fashion) and tested. In both cases the digital garment on the avatar was evaluated by the test customer in terms of fit, the look and feel of the garment and was later (after the ‘ordered’ garment was knitted) compared with the customer wearing the real knitwear, to evaluate the consumer satisfaction with the final result as well as the user experience about the procedure.