A Comparative Study of Anthropometric Measures and its significance on Diverse Applications

2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2019-03-01 DOI:10.1109/ICSCAN.2019.8878748

E. Thamizhselvi, V. Geetha

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引用次数: 1

Abstract

This paper provides a brief survey about the anthropometric traits in various fields. The word “anthropo” refers to human and “metric” refers to measurement. Anthropometry is essentially refers to the measurement of human individuals for the purpose of identifying the human physical variations. Anthropometry plays a predominant role in medical science, Forensic medicine and criminology, Biometric, sports etc. Anthropometric is used to access the size, shape and composition of human body. The purpose of anthropometric indicator criteria to select features and they have been justified mainly on the basis of being correlated with other risk factors. Due to its significance, the statistical mean and standard deviation measurements are highly followed to monitor the human body based on its measurement. Since this measurement vary according to the fields, it is indeed important to undergo a detailed analysis of anthropometric traits. Hence, this paper discusses about the potential researches on the use of anthropometric traits for different fields in association with the data mining to solve the complex problem by selecting the best features.

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人体测量方法的比较研究及其在多种应用中的意义

本文简要介绍了人体测量学在各个领域的研究概况。“anthropo”是指人，“metric”是指测量。人体测量学本质上是指对人体个体进行测量，以确定人体的生理变化。人体测量学在医学、法医学和犯罪学、生物计量学、体育等领域发挥着主导作用。人体测量学是用来获取人体的大小、形状和组成。人体测量指标标准的目的是选择特征，它们主要基于与其他危险因素的相关性而被证明是合理的。由于其重要性，统计平均值和标准偏差测量被高度采用，以测量为基础对人体进行监测。由于该测量值因领域而异，因此对人体测量特征进行详细分析确实很重要。因此，本文讨论了将人体特征应用于不同领域的潜在研究，并与数据挖掘相结合，通过选择最佳特征来解决复杂的问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)

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