{"title":"Altitude Monitoring of Multi-Floor Building Using a Barometric Altimeter Device and Self-Adaptive Algorithm","authors":"M. V. Caya, Jeffrey P. Ng","doi":"10.1109/HNICEM51456.2020.9400013","DOIUrl":null,"url":null,"abstract":"In the Philippines, creating ways to keep our public emergency responders safe is an everyday issue. With the help of fast-paced wireless technology, problems are now solvable such as monitoring, creating miniaturized sensors or devices, etc. This study will focus on using a barometric altimeter sensor that has a system with a Self-Adaptive Algorithm. Compared to other existing studies regarding indoor localization or identifying floor height which are time-consuming or labor-intensive, this will benefit our countries' finest specifically firefighters. Lessen their worries about accidents or death due to suffocation for losing their way inside the burning multi-floor building. Through our system, it will show the altitude measurement and estimated floor levels of the firefighter who is wearing the device. This study was conducted at Ayala Circuit Makati with 10 samples and gathered an accuracy of 93.820% with the system undergone Self-Adaptive Algorithm over 86.263% of without undergone Self-Adaptive Algorithm.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HNICEM51456.2020.9400013","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
In the Philippines, creating ways to keep our public emergency responders safe is an everyday issue. With the help of fast-paced wireless technology, problems are now solvable such as monitoring, creating miniaturized sensors or devices, etc. This study will focus on using a barometric altimeter sensor that has a system with a Self-Adaptive Algorithm. Compared to other existing studies regarding indoor localization or identifying floor height which are time-consuming or labor-intensive, this will benefit our countries' finest specifically firefighters. Lessen their worries about accidents or death due to suffocation for losing their way inside the burning multi-floor building. Through our system, it will show the altitude measurement and estimated floor levels of the firefighter who is wearing the device. This study was conducted at Ayala Circuit Makati with 10 samples and gathered an accuracy of 93.820% with the system undergone Self-Adaptive Algorithm over 86.263% of without undergone Self-Adaptive Algorithm.