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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| Format: | Article |
| Language: | English |
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MDPI AG
2015-04-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/15/5/9962 |