Cargando…
Detecting activity locations from raw GPS data: a novel kernel-based algorithm
BACKGROUND: Health studies and mHealth applications are increasingly resorting to tracking technologies such as Global Positioning Systems (GPS) to study the relation between mobility, exposures, and health. GPS tracking generates large sets of geographic data that need to be transformed to be usefu...
Autores principales: | Thierry, Benoit, Chaix, Basile, Kestens, Yan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3637118/ https://www.ncbi.nlm.nih.gov/pubmed/23497213 http://dx.doi.org/10.1186/1476-072X-12-14 |
Ejemplares similares
-
Examining the spatial congruence between data obtained with a novel activity location questionnaire, continuous GPS tracking, and prompted recall surveys
por: Shareck, Martine, et al.
Publicado: (2013) -
An evaluation of transport mode shift policies on transport-related physical activity through simulations based on random forests
por: Brondeel, Ruben, et al.
Publicado: (2017) -
Active transportation and public transportation use to achieve physical activity recommendations? A combined GPS, accelerometer, and mobility survey study
por: Chaix, Basile, et al.
Publicado: (2014) -
Combining sensor tracking with a GPS-based mobility survey to better measure physical activity in trips: public transport generates walking
por: Chaix, Basile, et al.
Publicado: (2019) -
Walk Score, Transportation Mode Choice, and Walking Among French Adults: A GPS, Accelerometer, and Mobility Survey Study
por: Duncan, Dustin T., et al.
Publicado: (2016)