TY  - JOUR
ID  - SisLab1862
UR  - http://doi.org/10.17703/IJACT.2016.4.1.28
IS  - 1
A1  - Nguyen, Thu-Trang
A1  - Nguyen, Thi-Hau
A1  - Nguyen, Ha-Nam
A1  - Nguyen, Duc-Nhan
A1  - Choi, GyooSeok
Y1  - 2016///
N2  - 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.
JF  - The International Journal of Advanced Culture Technology
VL  - 4
SN  - 2288-7202
TI  - Detecting user status from smartphone sensor data
SP  - 28
AV  - none
EP  - 30
ER  -