Robust User Activity Recognition using Smartphone Accelerometer Sensors


KIPS Transactions on Software and Data Engineering, Vol. 2, No. 9, pp. 629-642, Sep. 2013
10.3745/KTSDE.2013.2.9.629,   PDF Download:

Abstract

Recently, with the advent of smart phones, it brought many changes in lives of modern people. Especially, application utilizing the sensor information of smart phone ,which provides the service adapted by user situations, has been emerged. Sensor data of smart phone can be used for recognizing the user situation, Because it is closely related to the behavior and habits of the user. currently, GPS sensor one of mobile sensor has been utilized a lot to recognize basic user activity. But, depending on the user situation, activity recognition system cannot receive GPS signal, and also not collect received data. So utilization is reduced. In this paper, for solving this problem, we suggest a method of user activity recognition that focused on the accelerometer sensor data using smart phone. Accelerometer sensor is stable to collect the data and it`s sensitive to user behavior. Finally this paper suggests a noble approach to use state transition diagrams which represent the natural flow of user activity changes for enhancing the accuracy of user activity recognition.


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Cite this article
[IEEE Style]
J. M. Joong and P. Y. Tack, "Robust User Activity Recognition using Smartphone Accelerometer Sensors," KIPS Transactions on Software and Data Engineering, vol. 2, no. 9, pp. 629-642, 2013. DOI: 10.3745/KTSDE.2013.2.9.629.

[ACM Style]
Jeon Myung Joong and Park Young Tack. 2013. Robust User Activity Recognition using Smartphone Accelerometer Sensors. KIPS Transactions on Software and Data Engineering, 2, 9, (2013), 629-642. DOI: 10.3745/KTSDE.2013.2.9.629.