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Classification of indoor-outdoor location using combined global positioning system (GPS) and temperature data for personal exposure assessment

OBJECTIVES: The objectives of this study was to determine the accuracy of indoor-outdoor classification based on GPS and temperature data in three different seasons. METHODS: In the present study, a global positioning system (GPS) was used alongside temperature data collected in the field by a techn...

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Detalles Bibliográficos
Autores principales: Lee, B., Lim, C., Lee, K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5664917/
https://www.ncbi.nlm.nih.gov/pubmed/29165131
http://dx.doi.org/10.1186/s12199-017-0637-4
Descripción
Sumario:OBJECTIVES: The objectives of this study was to determine the accuracy of indoor-outdoor classification based on GPS and temperature data in three different seasons. METHODS: In the present study, a global positioning system (GPS) was used alongside temperature data collected in the field by a technician who visited 53 different indoor locations during summer, autumn and winter. The indoor-outdoor location was determined by GPS data alone, and in combination with temperature data. RESULTS: Determination of location by the GPS signal alone, based on the loss of GPS signal and using the used number of satellites (NSAT) signal factor, simple percentage agreements of 73.6 ± 2.9%, 72.9 ± 3.4%, and 72.1 ± 3.1% were obtained for summer, autumn, and winter, respectively. However, when temperature and GPS data were combined, simple percentage agreements were significantly improved (87.9 ± 3.3%, 84.1 ± 2.8%, and 86.3 ± 3.1%, respectively). A temperature criterion for indoor-outdoor determination of ~ Δ 2°C for 2 min could be applied during all three seasons. CONCLUSION: The results showed that combining GPS and temperature data improved the accuracy of indoor-outdoor determination.