Mahdieh Kamalian
ABSTRACT
A user's transport mode can be detected automatically by using a smartphone. In fact, such devices exist in a great number and have many sensors. In addition, using a smartphone in a fog environment allows to extend its capabilities ensuring low latency and low battery usage with high accuracy. We present the main idea underlying a smartphone app we plan to develop that uses a local classifier, the GPS, the accelerometer, and the magnetometer. The novelty of this work is the use of the magnetometer data for classification improvement and the use of the fog approach.
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Index Terms
- Fog Transport Mode Detection
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