Refining Time-Activity Classification of Human Subjects Using the Global Positioning System

Detailed spatial location information is important in accurately estimating personal exposure to air pollution. Global Position System (GPS) has been widely used in tracking personal paths and activities. Previous researchers have developed time-activity classification models based on GPS data, most...

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Veröffentlicht in:	PloS one 2016-02, Vol.11 (2), p.e0148875-e0148875
Hauptverfasser:	Hu, Maogui, Li, Wei, Li, Lianfa, Houston, Douglas, Wu, Jun
Format:	Artikel
Sprache:	eng
Schlagworte:	Accelerometers Accelerometry Accuracy Activities of Daily Living Activity patterns Adult Air pollution Air Pollution - analysis Biology and Life Sciences Cities Classification Computer and Information Sciences Data analysis Demographic aspects Engineering and Technology Environmental Exposure - analysis Exercise Geographic Information Systems Global Positioning System Global positioning systems GPS Health sciences Highways Human subjects Humans Laboratories Land information systems Living conditions Mathematical models Models, Statistical Natural resources Outdoor air quality People and places Physical fitness Pollutants Pollution Pollution studies Public health Remote sensing Research and Analysis Methods Satellite navigation systems Sensitivity analysis Smartphones Spatial Analysis Spatial data Studies Taxation Time Factors Walking
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