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Progress in Machines and Systems

Accelerometer Embedded Mobile Phone System for Activity Recognition

Nikola Jajac, Bratislav Predic and Dragan Stojanovic
Faculty of Electronic Engineering at University of Nis Aleksandra Medvedeva 14 18000 Nis, Serbia

Abstract: The local activity recognition is performed by the mobile devices in an effective manner which is tested in this work. We have used the accelerometer embedded mobile phone system for finding the activity recognition. The proposed model has been tested with the application of device performance. With a less reduction of mobile device performance, the activity recognition of the mobile phones is possible.

Keywords: Physical Activity Recognition, Efficient Accelerometer Data Analysis, Performance Evaluation, Mobile Device Capabilities Accelerometer Embedded Mobile Phone System for Activity Recognition

DOI:https://doi.org/10.6025/pms/2022/11/2/34-40

Full_Text PDF 1.7 MB Download: 83 times

References:

[1] J. Lester, T. Choudhury, G. Booriello, “A Practical Approach to Recognizing Physical Activities“, Proceedings of the 4th International Conference on Pervasive Computing, 2006, pp. 1- 16.
[2] Wikipedia, Android (operating system), http://en.wikipedia.org/wiki/Android_(operating_system), 10.04.2013.
[3] L. Bao, S. S. Intille, “Activity recognition from user-annotated acceleration data“, In: Proceedings of the 2nd International Conference on Pervasive Computing, 2004, pp. 1-17.
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[5] Jennifer R. Kwapisz, Gary M. Weiss, Samuel A. Moore, “Activity Recognition using Cell Phone Accelerometers”, ACM SIGKDD Explorations Newsletter, vol. 12, issue 2, pp. 74-82.
[6] Nikola Jajac, Bratislav Predic, Dragan Stojanovic, “User activity detection using smartphones with acceleration sensor”, Proceedings of the 56. conference ETRAN (in Serbian), Zlatibor, 11-14. June 2012.
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[9] Android Developers, Activity, http://developer.android.com/reference/android/app/Activity.html, 10.04.2013.

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