Beyond Where to How: A Machine Learning Approach for Sensing Mobility Contexts Using Smartphone Sensors

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...

Full description

Bibliographic Details
Main Author: Robert E. Guinness
Format: Article
Language:English
Published: MDPI AG 2015-04-01
Series:Sensors
Subjects:
context awareness
smartphone sensors
machine learning
classification
mobility context
supervised learning
Online Access:http://www.mdpi.com/1424-8220/15/5/9962

Internet

http://www.mdpi.com/1424-8220/15/5/9962

Similar Items