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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Zhiwen, Y., Zhiyong, Y., Xingshe, Z.: Socially aware computing. Chinese Journal of Computers 35(1), 16–26 (2012)
Chon, Y., Cha, H.: LifeMap: A smartphone-based context provider for location-based services. IEEE Pervasive Computing 10(2), 58–67 (2011)
Yuyao, Y., Fang, Z., Haiyong, L., Ye, T., Xincan, L.: A geolocation-based social network model for mobile Internet. Journal of Computer Research and Development 48(z2), 307–313 (2011)
Hossmann, T., Efstratiou, C., Mascolo, C.: Collecting big datasets of human activity one checkin at a time. In: Proceedings of the 4th ACM International Workshop on Hot Topics in Planet-scale Measurement, pp. 15–20. ACM, New York (2012)
Raento, M., Oulasvirta, A.: Designing for privacy and self-presentation in social awareness. Personal and Ubiquitous Computing 12(7), 527–542 (2008)
Lu, H., Yang, J., Liu, Z., Lane, D., Choudhury, T., Campbell, A.T.: The jigsaw continuous sensing engine for mobile phone applications. In: Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems, pp. 71–84. ACM, New York (2010)
Conzalez, M.C., Hidalgo, C.A., Barabasi, A.L.: Understanding individual human mobility patterns. Nature 453(5), 779–782 (2008)
Kortuem, G., Segall, Z.: Wearable communities: Augmenting social networks with wearable computers. IEEE Pervasive Computing 2(1), 71–78 (2003)
Gonzalez, M.C., Barabasi, A.L.: Complex networks: From data to models. Nature Physics 3(4), 224–225 (2007)
Eagle, N., Pentland, A., Lazer, D.: Inferring friendship network structure by using mobile phone data. Proceedings of the National Academy of Sciences 106(36), 15274–15278 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-09265-2_2
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09264-5
Online ISBN: 978-3-319-09265-2
eBook Packages: Computer ScienceComputer Science (R0)