Location intelligence system for people estimation in indoor environment during emergency operation

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dc.contributor.authorFallucchi, Francesca
dc.contributor.authorGiugliano, Romeo
dc.contributor.authorLini, Gianluca
dc.contributor.authorVizzarri, Alessandro
dc.date.accessioned2021-12-24T18:12:03Z
dc.date.available2021-12-24T18:12:03Z
dc.date.issued2022-01-04
dc.description.abstractIn the last years, location intelligence systems have been characterized by an increasing interest in several sectors. Among them, those of emergencies are mainly involved in order to enhance the rescue procedures and to reduce the intervention time, especially within indoor environment where GPS does not support the emergency operations. The authors define a low cost location intelligence system based on Channel State Information (CSI) of Wi-Fi and low-energy ESP32 SoC platform to analyze CSI data of Wi-Fi Signals. The technical solution utilizes wavelet filter to remove background noise in the CSI data, Principal component analysis (PCA) to reduce the dimensionality of the CSI data and get the most valuable data that are used as feature for the defined DNN model. The experimental results show the best performance of this model compared to the other machine learning (ML) algorithms analysed.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2022.699
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.urihttp://hdl.handle.net/10125/80038
dc.language.isoeng
dc.relation.ispartofProceedings of the 55th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectLocation Intelligence Research in System Sciences
dc.subjectdnn
dc.subjectedge computing
dc.subjectlocalization intelligence
dc.subjectpeople estimation
dc.subjectwifi signal
dc.titleLocation intelligence system for people estimation in indoor environment during emergency operation
dc.type.dcmitext

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