Biometric identification and LoRaWAN communication problems in remote health monitoring
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Abstract
Biometric identification is no longer an idea of the future, it’s a possibility of the
present. It’s enough to think about everyday things like the new ID card, some laptops, and
most cell phones. We can see that the use of biometric-based identification systems is
growing on a large scale. Behind the rapid spread is both demand and offer. On the
demand side, there is a demand for security. For example, states want to know who is
crossing their borders, and companies want to know who is entering their buildings. On the
supply side, compact and inexpensive devices appear that can be easily integrated into any
system. Although experts believe that biometric identification can be considered extremely
secure, these systems also have weaknesses. In the course of my research, I examine
fingerprint-based recognition among biometric identification types in more depth. There
are also two types of errors that affect system reliability. One is FAR, i.e. false acceptance,
the other is FRR, i.e. false rejection. In my work, I would like to find a solution to how we
can best reduce the first and second type errors (FAR and FRR) by changing the number of
samples and tuning the acceptance threshold. The biggest difficulty with this is finding the
EER (Equal Error Rate) point, as deviating from this point, the error rates show an
increasing trend. Another topic of my research is the examination of LoRaWAN technology
for reliability. The health and remote monitoring armband I designed uses LoRa
communication to transmit information. The biggest advantage of the technology is the
long-range, which is significantly influenced by environmental variables and current
terrain conditions. I would like to find out what range the LoRa module I use can operate
in different noise-laden environments, under different weather and terrain conditions. This
can be used to establish a coverage area within which the exchange of information between
the LoRa device and its associated gateway can be guaranteed. Biometric identification is no longer an idea of the future, it’s a possibility of the
present. It’s enough to think about everyday things like the new ID card, some laptops, and
most cell phones. We can see that the use of biometric-based identification systems is
growing on a large scale. Behind the rapid spread is both demand and offer. On the
demand side, there is a demand for security. For example, states want to know who is
crossing their borders, and companies want to know who is entering their buildings. On the
supply side, compact and inexpensive devices appear that can be easily integrated into any
system. Although experts believe that biometric identification can be considered extremely
secure, these systems also have weaknesses. In the course of my research, I examine
fingerprint-based recognition among biometric identification types in more depth. There
are also two types of errors that affect system reliability. One is FAR, i.e. false acceptance,
the other is FRR, i.e. false rejection. In my work, I would like to find a solution to how we
can best reduce the first and second type errors (FAR and FRR) by changing the number of
samples and tuning the acceptance threshold. The biggest difficulty with this is finding the
EER (Equal Error Rate) point, as deviating from this point, the error rates show an
increasing trend. Another topic of my research is the examination of LoRaWAN technology
for reliability. The health and remote monitoring armband I designed uses LoRa
communication to transmit information. The biggest advantage of the technology is the
long-range, which is significantly influenced by environmental variables and current
terrain conditions. I would like to find out what range the LoRa module I use can operate
in different noise-laden environments, under different weather and terrain conditions. This
can be used to establish a coverage area within which the exchange of information between
the LoRa device and its associated gateway can be guaranteed.
- Title
- Biometric identification and LoRaWAN communication problems in remote health monitoring
- xmlui.dri2xhtml.METS-1.0.item-description-titlenumber
- 9.
- Author
- Szántó, Marcell
- xmlui.dri2xhtml.METS-1.0.item-contributor-editor
- Dr. Temesvári, Zsolt
- xmlui.dri2xhtml.METS-1.0.item-date-issued
- 2020
- xmlui.dri2xhtml.METS-1.0.item-rights-access
- Open access
- xmlui.dri2xhtml.METS-1.0.item-other-conferenceTitle
- XXXVI. Kandó Konferencia
- xmlui.dri2xhtml.METS-1.0.item-other-conferenceDate
- 2020. November 19-20.
- xmlui.dri2xhtml.METS-1.0.item-language
- en
- xmlui.dri2xhtml.METS-1.0.item-format-page
- 9 p.
- xmlui.dri2xhtml.METS-1.0.item-subject-oszkar
- lorawan, biometric, fingerprint, communication, identification
- xmlui.dri2xhtml.METS-1.0.item-description-version
- Kiadói változat
- xmlui.dri2xhtml.METS-1.0.item-other-containerTitle
- XXXVI. Kandó Konferencia KK2020
- xmlui.dri2xhtml.METS-1.0.item-other-containerPeriodicalYear
- 2020
- xmlui.dri2xhtml.METS-1.0.item-other-containerIdentifierIsbn
- 978-963-449-224-5
- xmlui.dri2xhtml.METS-1.0.item-type-type
- Konferenciaközlemény
- xmlui.dri2xhtml.METS-1.0.item-subject-area
- Műszaki tudományok - gépészeti tudományok
- xmlui.dri2xhtml.METS-1.0.item-publisher-university
- Óbudai Egyetem
- xmlui.dri2xhtml.METS-1.0.item-publisher-faculty
- Kandó Kálmán Villamosmérnöki Kar