分段回归法确定马来西亚女性足型

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 1900-01-01 DOI:10.1109/ICSIPA.2017.8120640

Mohd Salzahrin Mohd Hamzah, O. M. Rijal, N. A. Mokhtar, N. Noor

{"title":"分段回归法确定马来西亚女性足型","authors":"Mohd Salzahrin Mohd Hamzah, O. M. Rijal, N. A. Mokhtar, N. Noor","doi":"10.1109/ICSIPA.2017.8120640","DOIUrl":null,"url":null,"abstract":"A novel procedure to determine foot shape is propose. The relationship between shape features is used to discriminate shape. Five foot shape features that are Left Foot Length (LFL), Left Foot Breadth (LFB), Left Ball Girth Circumference (LBGC), Left Instep Length (LIL) and Left Fibulare Instep Length (LFIL) from a random sample of 161 Malaysians ladies were studied. Two groups of foot shape feature obtained from standard clustering procedure were then used to discriminate foot shape using piecewise regression. A two component piecewise regression model using LFB and LBGC give the best fit to the data showing two categories of foot shape.","PeriodicalId":268112,"journal":{"name":"2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","volume":"263 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Piecewise regression for determining Malaysian woman foot shape\",\"authors\":\"Mohd Salzahrin Mohd Hamzah, O. M. Rijal, N. A. Mokhtar, N. Noor\",\"doi\":\"10.1109/ICSIPA.2017.8120640\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel procedure to determine foot shape is propose. The relationship between shape features is used to discriminate shape. Five foot shape features that are Left Foot Length (LFL), Left Foot Breadth (LFB), Left Ball Girth Circumference (LBGC), Left Instep Length (LIL) and Left Fibulare Instep Length (LFIL) from a random sample of 161 Malaysians ladies were studied. Two groups of foot shape feature obtained from standard clustering procedure were then used to discriminate foot shape using piecewise regression. A two component piecewise regression model using LFB and LBGC give the best fit to the data showing two categories of foot shape.\",\"PeriodicalId\":268112,\"journal\":{\"name\":\"2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)\",\"volume\":\"263 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSIPA.2017.8120640\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSIPA.2017.8120640","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

提出了一种确定足形的新方法。利用形状特征之间的关系来区分形状。本文研究了161名马来西亚女性的5个足型特征，分别是左脚长度(LFL)、左脚宽度(LFB)、左球周长(LBGC)、左脚背长度(LIL)和左腓骨脚背长度(LFIL)。然后利用标准聚类法得到的两组足型特征，采用分段回归方法进行足型判别。使用LFB和LBGC的两分量分段回归模型对显示两类足形的数据进行了最佳拟合。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Piecewise regression for determining Malaysian woman foot shape

A novel procedure to determine foot shape is propose. The relationship between shape features is used to discriminate shape. Five foot shape features that are Left Foot Length (LFL), Left Foot Breadth (LFB), Left Ball Girth Circumference (LBGC), Left Instep Length (LIL) and Left Fibulare Instep Length (LFIL) from a random sample of 161 Malaysians ladies were studied. Two groups of foot shape feature obtained from standard clustering procedure were then used to discriminate foot shape using piecewise regression. A two component piecewise regression model using LFB and LBGC give the best fit to the data showing two categories of foot shape.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)

自引率

0.00%

发文量