.png){kind=icon}
返回
Model based foot shape classification using 2D foot outlines
.png){kind=icon}
PRE
AI
DOI：10.1016/j.cad.2011.01.005.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This study introduces a novel technique to identify foot outline characteristics and to classify feet into groups using turning functions and clustering techniques so that shape can complement anthropometry in producing good fitting shoes. The digital 3D foot scans, obtained from 50 Hong Kong Chinese subjects (25 males and 25 females) were processed to generate the foot outlines at heights of 2 mm and 40 mm. The outlines were represented as turning functions and the similarity among shapes was determined using average linkage clustering. The results show that there are two distinct shape groups for the 40 mm foot outlines on both medial and lateral sides of the foot. The presence (46%) or absence (54%) of a medial bulge characterizes the medial side, while the two shape groups on the lateral side are mainly due to the lateral concavity in the mid-foot region. The group with a lateral concavity consists of more females (68%) and thus lateral side of foot outline appears to be gender related. Furthermore, the medial and lateral side clusters are not related to each other. The medial side shape from the 2 mm foot outline is a good indicator of fallen arches. Based on the analyses, four types of feet were identified: feet with (1) lateral concavity and a medial bulge, (2) a medial bulge and no lateral concavity, (3) lateral concavity and no medial bulge and (4) lateral concavity and a medial bulge. These shape differences can be useful in the design of shoe lasts and in the manufacture of compatible footwear so that trial and error fitting can be minimized. (C) 2011 Elsevier Ltd. All rights reserved.
Keyword:
Foot
Last design
Foot outline
Clustering
Turning function
Shape classification
Arch
Scanning
Digital modeling
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
C
IF:
3.1
论文数:
3.2K
被引数:
6.4K
机构
暂无机构信息
引用论文
.png){kind=icon}
Knowledge-Based Optimal IIL Circuit Generator from Conventional Logic Circuit Descriptions基于知识的常规逻辑电路描述的最优IIL电路生成器
PREAI
分享收藏
分享收藏A Path to Restorative Justice: Applicability of Mental Health Courts in the Philippines一条通往修复性司法的路径：菲律宾心理健康法院的适用性
PREAI
分享收藏
查看更多内容