Population aging is a global phenomenon, and the elderly population has a higher economic capability today than that in the past. Thus, this population is considered to be a growing consumer group that enjoys both consumer and leisure life. In this study, we developed prototype hat patterns for elderly women that can be used for developing close-fitting hats, helmets, masks, and smart headwear. Three-dimensional (3D) head scan data of elderly women were employed herein, and the data were classified into three groups with common head size and head shape. The target group was selected from a high-frequency group among the classified groups, and a standard head form representing the target group was developed using averaging and wire frame generation techniques. Four hat types were considered, design baselines were developed for each type, and prototype patterns were designed for each hat type using a flattening technique. The suitability of the developed prototype hat patterns was subsequently verified. Our results showed that all four prototype patterns had errors less than 5 mm2 (1.40%). The hat patterning method proposed in this study is expected to improve the wearing comfort of high-value-added products designed for the elderly.

中文翻译：

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基于三维建模的老年女性帽型原型开发

人口老龄化是一个全球现象，如今老年人口的经济能力比过去更高。因此，这一人群被认为是一个不断增长的消费群体，既享受消费又享受休闲生活。在这项研究中，我们为老年女性开发了原型帽子图案，可用于开发贴身帽子、头盔、面具和智能头饰。本文采用老年女性的三维（3D）头部扫描数据，将数据分为三组，头部大小和头部形状相同。从分类组中的高频组中选择目标组，并使用平均和线框生成技术开发代表目标组的标准头部形式。考虑了四种帽子类型，为每种类型开发了设计基线，并使用展平技术为每种帽子类型设计了原型图案。随后验证了开发的原型帽子图案的适用性。我们的结果表明，所有四种原型图案的误差均小于 5 mm2 (1.40%)。本研究提出的帽子图案方法有望提高专为老年人设计的高附加值产品的佩戴舒适度。