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Beyond Where to How: A Machine Learning Approach for Sensing Mobility Contexts Using Smartphone Sensors (†)
This paper presents the results of research on the use of smartphone sensors (namely, GPS and accelerometers), geospatial information (points of interest, such as bus stops and train stations) and machine learning (ML) to sense mobility contexts. Our goal is to develop techniques to continuously and...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4481999/ https://www.ncbi.nlm.nih.gov/pubmed/25928060 http://dx.doi.org/10.3390/s150509962 |