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

• Published in: PloS one Vol. 11; no. 2; p. e0148875
• Main Authors: Hu, Maogui, Li, Wei, Li, Lianfa, Houston, Douglas, Wu, Jun
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 26.02.2016; Public Library of Science (PLoS)
• Subjects: 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; Roads & highways; Satellite navigation systems; Sensitivity analysis; Smartphones; Spatial Analysis; Spatial data; Studies; Taxation; Time Factors; Walking; United States; China; Beijing China; California; United States > US

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...