利用电子鼻对男女腋下汗液气味进行夜间分类

Irzal Ahmad Sabilla, Doni Putra Purbawa, R. Sarno, A. Fauzi, D. Wijaya, Rudy Gunawan
{"title":"利用电子鼻对男女腋下汗液气味进行夜间分类","authors":"Irzal Ahmad Sabilla, Doni Putra Purbawa, R. Sarno, A. Fauzi, D. Wijaya, Rudy Gunawan","doi":"10.1109/APWiMob51111.2021.9435273","DOIUrl":null,"url":null,"abstract":"Sweating at night can be an indication that there is a disturbance in the human metabolic system. Sweat itself is a substance that is unused in the body or the result of human excretion. The sweat glands are scattered in all parts of the body, but mostly in three locations: armpits, palms, and feet. Several kinds of research related to sweat and Electronic Nose (E-Nose) have also been studied. The study used a patch to absorb sweat and proved the presence of nicotine content from a smoker. However, the previous research has not focused on human sweat at night for potential disease. This paper aims to propose a system to distinguish men and women at night through the armpit sweat odor using Taguchi Gas Sensors (TGS) and SHT15. Researchers found four significant sensors for further investigation: TGS 822, TGS 826, TGS 833, and TGS 2620. This study obtained a total of 165 armpit sweat data, which have been processed and adjusted for this case into 25 data, 12 men (ME) and 13 women (WO). Several classification models are implemented, such as Support Vector Machine (SVM), Naïve Bayes (NB), and Decision Tree (DT) with accuracy 92.30%, 96.15%, and 84.62%, respectively. Based on the highest accuracy and the Volatile Organic Compounds (VOC) measurement, women are more likely to suffer from several diseases than men, such as leukemia.","PeriodicalId":325270,"journal":{"name":"2021 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Men and Women Classification at Night Through the Armpit Sweat Odor using Electronic Nose\",\"authors\":\"Irzal Ahmad Sabilla, Doni Putra Purbawa, R. Sarno, A. Fauzi, D. Wijaya, Rudy Gunawan\",\"doi\":\"10.1109/APWiMob51111.2021.9435273\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sweating at night can be an indication that there is a disturbance in the human metabolic system. Sweat itself is a substance that is unused in the body or the result of human excretion. The sweat glands are scattered in all parts of the body, but mostly in three locations: armpits, palms, and feet. Several kinds of research related to sweat and Electronic Nose (E-Nose) have also been studied. The study used a patch to absorb sweat and proved the presence of nicotine content from a smoker. However, the previous research has not focused on human sweat at night for potential disease. This paper aims to propose a system to distinguish men and women at night through the armpit sweat odor using Taguchi Gas Sensors (TGS) and SHT15. Researchers found four significant sensors for further investigation: TGS 822, TGS 826, TGS 833, and TGS 2620. This study obtained a total of 165 armpit sweat data, which have been processed and adjusted for this case into 25 data, 12 men (ME) and 13 women (WO). Several classification models are implemented, such as Support Vector Machine (SVM), Naïve Bayes (NB), and Decision Tree (DT) with accuracy 92.30%, 96.15%, and 84.62%, respectively. Based on the highest accuracy and the Volatile Organic Compounds (VOC) measurement, women are more likely to suffer from several diseases than men, such as leukemia.\",\"PeriodicalId\":325270,\"journal\":{\"name\":\"2021 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APWiMob51111.2021.9435273\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APWiMob51111.2021.9435273","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

晚上出汗可能表明人体代谢系统出现了紊乱。汗液本身是一种在体内未被利用的物质,或者是人体排泄的结果。汗腺分布在身体的各个部位,但主要集中在三个部位:腋窝、手掌和脚。与汗水和电子鼻(E-Nose)相关的几种研究也被研究过。该研究使用贴片来吸收汗水,并证明吸烟者体内存在尼古丁含量。然而,之前的研究并没有关注人类夜间出汗的潜在疾病。本文旨在提出一种利用田口气体传感器(TGS)和SHT15通过腋臭气味来区分男性和女性的系统。研究人员发现了四种值得进一步研究的重要传感器:TGS 822、TGS 826、TGS 833和TGS 2620。本研究共获得165份腋窝汗液数据,并针对本病例进行处理调整为25份数据,12名男性(ME)和13名女性(WO)。实现了支持向量机(SVM)、Naïve贝叶斯(NB)和决策树(DT)等几种分类模型,准确率分别为92.30%、96.15%和84.62%。根据最高的准确性和挥发性有机化合物(VOC)的测量,女性比男性更容易患几种疾病,如白血病。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Men and Women Classification at Night Through the Armpit Sweat Odor using Electronic Nose
Sweating at night can be an indication that there is a disturbance in the human metabolic system. Sweat itself is a substance that is unused in the body or the result of human excretion. The sweat glands are scattered in all parts of the body, but mostly in three locations: armpits, palms, and feet. Several kinds of research related to sweat and Electronic Nose (E-Nose) have also been studied. The study used a patch to absorb sweat and proved the presence of nicotine content from a smoker. However, the previous research has not focused on human sweat at night for potential disease. This paper aims to propose a system to distinguish men and women at night through the armpit sweat odor using Taguchi Gas Sensors (TGS) and SHT15. Researchers found four significant sensors for further investigation: TGS 822, TGS 826, TGS 833, and TGS 2620. This study obtained a total of 165 armpit sweat data, which have been processed and adjusted for this case into 25 data, 12 men (ME) and 13 women (WO). Several classification models are implemented, such as Support Vector Machine (SVM), Naïve Bayes (NB), and Decision Tree (DT) with accuracy 92.30%, 96.15%, and 84.62%, respectively. Based on the highest accuracy and the Volatile Organic Compounds (VOC) measurement, women are more likely to suffer from several diseases than men, such as leukemia.
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
自引率
0.00%
发文量
0
期刊最新文献
The Effect of Duration Heteroscedasticity to the Bottleneck in Business Process Discovered by Inductive Miner Algorithm Performance Evaluation of XGS-PON Optical Network Termination for Mobile Backhaul IoT Resiliency through Edge-located Container-based Virtualization and SDN Detection of the Key Actor of Issues Spreading Based on Social Network Analysis in Twitter Social Media Unsupervised Method for 3D Brain Magnetic Resonance Image Segmentation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1