Detecting user status from smartphone sensor data

Nguyen, Thu-Trang;Nguyen, Thi-Hau;Nguyen, Ha-Nam;Nguyen, Duc-Nhan;Choi, GyooSeok

  • Received : 2016.01.17
  • Accepted : 2016.02.27
  • Published : 2016.03.31


Due to the high increment in usage and built-in advanced technology of smartphones, human activity recognition relying on smartphone sensor data has become a focused research area. In order to reduce noise of collected data, most of previous studies assume that smartphones are fixed at certain positions. This strategy is impractical for real life applications. To overcome this issue, we here investigate a framework that allows detecting the status of a traveller as idle or moving regardless the position and the direction of smartphones. The application of our work is to estimate the total energy consumption of a traveller during a trip. A number of experiments have been carried out to show the effectiveness of our framework when travellers are not only walking but also using primitive vehicles like motorbikes.


activity recognition;smartphone sensor;user status;motorbikes;smartphone reorientation;and tilt features


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