Life-space characterization from cellular telephone collected GPS data

► Methods were proposed to derive life-space information from GPS data. ► We assess the influence of GPS frequency on the accuracy of activity classification. ► The frequency of 75s is suggested for cell-phone GPS data observation. Life-space is an emerging method for measuring older adults’ functio...

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Bibliographic Details
Published inComputers, environment and urban systems Vol. 39; pp. 63 - 70
Main Authors Wan, Neng, Lin, Ge
Format Journal Article
LanguageEnglish
Published Kidlington Elsevier Ltd 01.05.2013
Elsevier
Subjects
Applied sciences
Buildings. Public works
Cell phones
Cellular
Classification
Data processing
Exact sciences and technology
GIS
Global Positioning System
GPS
Life-space
Measurements. Technique of testing
Physical activity
Satellite navigation systems
Smartphone
Smartphones
Telephones
GIS
Life-space
GPS
Physical activity
Smartphone
Mobile phone
Data analysis
GPS system
Spatial analysis
Geographic information system
Classification
Measurement method
Data gathering
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ISSN0198-9715
1873-7587
DOI10.1016/j.compenvurbsys.2013.01.003

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Summary:► Methods were proposed to derive life-space information from GPS data. ► We assess the influence of GPS frequency on the accuracy of activity classification. ► The frequency of 75s is suggested for cell-phone GPS data observation. Life-space is an emerging method for measuring older adults’ functional status. Although global positioning system (GPS)-enabled smartphones can collect life-space data passively and accurately, researchers lack an effective process to derive activity information from the raw GPS data. In addition, the influence of GPS retrieving frequency on life-space characterization is unknown. We describe a GPS data processing procedure to estimate life-space. A cellular telephone was used to collect GPS data by a subject during a 4-month period. The GPS data processing procedure was then implemented and evaluated in terms of classification accuracy, reliability, and sensitivity to observation frequency. The proposed scheme generated sufficient zone-based activity information to characterize an individual’s life-space. The speed-based sensitivity assessment suggests 75s as an appropriate GPS observation interval for smartphone based life-space data collection.
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ISSN:0198-9715
1873-7587
DOI:10.1016/j.compenvurbsys.2013.01.003