Size children’s eyeglasses: An assembly-guided and comfort-oriented optimization approach based on 3D statistical ophthalmic modeling

Abstract

Eyeglasses are critical for correcting and protecting the vision of children with myopia/hyperopia. Children’s heads grow as their age increases, which can easily cause improperly fitting and uncomfortable eyeglasses. Hence, better sizing for children’s eyeglasses is needed, but to date this topic is underexplored. To solve this, we proposed a comfort-oriented and assembly-guided approach based on a statistical ophthalmic model to establish an eyeglasses sizing system. First, we developed an assembly-guided design scheme in which eyeglasses could be separated into three components – rims, temples, and nose pads – and assembled in different combinations. Then, we modeled the geometric variances of children’s heads’ ophthalmic regions. After that, we used descriptive statistics to size nose pads and temples and employed a statistical model with a genetic algorithm to search for representative shapes and customize rim sizes. Here, the coverage rate and overall comfort were computed as objective functions. Experimental results showed that both an assembly-guided design scheme and comfort-oriented searching strategy can effectively produce more comfortable eyeglasses sizing systems. Our method can also be extended to other head and body wearables.