Design of intelligent garment with sensor fusion for rescue teams

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dc.authorid0000-0001-9012-6587
dc.authorid0000-0002-9112-2964
dc.contributor.authorEsme, Engin.
dc.contributor.authorKarlık, Bekir.
dc.date.accessioned2020-03-26T20:13:16Z
dc.date.available2020-03-26T20:13:16Z
dc.date.issued2019
dc.departmentSelçuk Üniversitesi, Kulu Meslek Yüksekokulu, Bigisayar Teknolojileri Bölümüen_US
dc.description.abstractWearable technologies fulfill tasks such as acquiring important data, transmitting and displaying. Smart garments will be developed in order to increase the safety of personnel and make intervention more effective. In this study, an intelligent system has been designed for remote monitoring of the hazardous gases around the disaster area, the concentration of oxygen level in the environment, the ambient temperature and the mobility of the rescue team members. The search and rescue team leader can do the hazard analysis in more detail based on the accidental information using the developed system. The system consists of 2 electrochemical gas sensors, 2 metal oxide semiconductor sensors, a temperature sensor, a motion sensor, and a wireless communicating microcontroller platform. The main difference of this developed prototype from conventional methods is to determine by a machine learning algorithm in which the gas encountered at the incident site belongs to the flammable-explosive, chemical liquid vapor or stifling group. Five classes have been created in the classification process by taking into consideration the fresh air and possible mixtures of gases. As a result of comparative experimental studies of three different methods, 94.25% classification accuracy was obtained by k-NN using method. The proposed smart garment can be used to explore disaster area for planning and intervention processes, and to make the operation more efficient and relia.en_US
dc.identifier.citationEşme, E., Karlık, B. (2019). Design of Intelligent Garment with Sensor Fusion for Rescue Teams. Journal of the Faculty of Engineering and Architecture of Gazi University, 34(3), 1187-1200.
dc.identifier.doi10.17341/gazimmfd.460513en_US
dc.identifier.endpage1200en_US
dc.identifier.issn1300-1884en_US
dc.identifier.issn1304-4915en_US
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1188en_US
dc.identifier.urihttps://dx.doi.org/10.17341/gazimmfd.460513
dc.identifier.urihttps://hdl.handle.net/20.500.12395/37657
dc.identifier.volume34en_US
dc.identifier.wosWOS:000469481500005en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorEsme, Engin.
dc.institutionauthorKarlık, Bekir.
dc.language.isotren_US
dc.publisherGAZI UNIV, FAC ENGINEERING ARCHITECTUREen_US
dc.relation.ispartofJOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectWearable sensorsen_US
dc.subjectpattern recognitionen_US
dc.subjectremote sensingen_US
dc.subjectgas sensingen_US
dc.titleDesign of intelligent garment with sensor fusion for rescue teamsen_US
dc.typeArticleen_US

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