Abstract
Smart phone applications are widely used with technological development of embedded sensors which bring the functions of sensing, communicating and computing to users. Large sets of sensor data (GPS, Bluetooth, compass, etc.) are exploited to the research of human behaviors and human social activities, but collecting a large scale dataset bears many problems. GPSTracker, a mobile application using embedded GPS module and Bluetooth module to collect mobile and interactive data with server/client architecture, is designed. This data collecting system based on smart phone of Android platform, which gives solutions to major problems of data collecting experiment in the aspects of usability, energy consumption, privacy and incentives for users to keep running it on their device for long-term. The performance analysis after a series of tests shows that GPSTracker is acceptable to users and has a high efficiency of data collection. It’s effective in controlling energy consumption and privacy.
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Zhen, C., Qiang, G. (2014). Mobile Sensor Data Collecting System Based on Smart Phone. In: Zu, Q., Vargas-Vera, M., Hu, B. (eds) Pervasive Computing and the Networked World. ICPCA/SWS 2013. Lecture Notes in Computer Science, vol 8351. Springer, Cham. https://doi.org/10.1007/978-3-319-09265-2_2
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DOI: https://doi.org/10.1007/978-3-319-09265-2_2
Publisher Name: Springer, Cham
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