{"title":"Herbal Liqueur Effect Through Sublingual Vein Imaging Using Smartphone and Deep Learning","authors":"Maho Taniai, Kaito Okazaki, M. Hasegawa","doi":"10.1109/ITC-CSCC58803.2023.10212723","DOIUrl":null,"url":null,"abstract":"A method for visualizing the effects of consuming the herbal liqueur Yomeishu by acquiring images of sublingual veins using a smartphone camera with 50-megapixel resolution, the resolution of which has rapidly improved in recent years, is discussed. A simple configuration using a commercially available ring light and a polarizing film can be used to acquire clear images of sublingual veins. Using a ring light provides a stable light source, and by attaching a polarizing film orthogonally to the ring light and lens, it is possible to eliminates light reflection caused by saliva. We propose a method involves training a deep learning the sublingual veins before and after the experience of consuming Yomeishu. When a new image is inserted into the model, it generates an output value for the liquor effect. Analysis of the results obtained with the trained neural network reveals the sublingual position of the effect of taking Yomeishu.","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212723","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A method for visualizing the effects of consuming the herbal liqueur Yomeishu by acquiring images of sublingual veins using a smartphone camera with 50-megapixel resolution, the resolution of which has rapidly improved in recent years, is discussed. A simple configuration using a commercially available ring light and a polarizing film can be used to acquire clear images of sublingual veins. Using a ring light provides a stable light source, and by attaching a polarizing film orthogonally to the ring light and lens, it is possible to eliminates light reflection caused by saliva. We propose a method involves training a deep learning the sublingual veins before and after the experience of consuming Yomeishu. When a new image is inserted into the model, it generates an output value for the liquor effect. Analysis of the results obtained with the trained neural network reveals the sublingual position of the effect of taking Yomeishu.