Md. Faisal Ahmed, Md. Osman Ali, Md. Habibur Rahman, Y. Jang
{"title":"Real-time health monitoring system design based on optical camera communication","authors":"Md. Faisal Ahmed, Md. Osman Ali, Md. Habibur Rahman, Y. Jang","doi":"10.1109/ICOIN50884.2021.9334018","DOIUrl":null,"url":null,"abstract":"A dramatic increase in internet-of-things-based remote health monitoring systems can be observed in recent times. The majority of them use a technology based on radio frequency (RF), whose adverse effects on human health are continuously addressed in the literature. We have designed a system using a pulse oximeter sensor to monitor the health conditions of the patient and transmit data through the LED and received using a camera. The camera captures the image and extracts the data from the receiver in the Python environment. The data is modulated using a color shift keying technique, and based on the different colors the data is retrieved from the receiver.","PeriodicalId":6741,"journal":{"name":"2021 International Conference on Information Networking (ICOIN)","volume":"284 1","pages":"870-873"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Information Networking (ICOIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOIN50884.2021.9334018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
A dramatic increase in internet-of-things-based remote health monitoring systems can be observed in recent times. The majority of them use a technology based on radio frequency (RF), whose adverse effects on human health are continuously addressed in the literature. We have designed a system using a pulse oximeter sensor to monitor the health conditions of the patient and transmit data through the LED and received using a camera. The camera captures the image and extracts the data from the receiver in the Python environment. The data is modulated using a color shift keying technique, and based on the different colors the data is retrieved from the receiver.