Repetitive Activity Counter Estimation Technique on the Acceleration Data

Ahmad Sayuthi Mohamad Shokri, Wira Hidayat Mohd Saad, Lai Guan Mun, Nur Amirah Kamaruzaman, Siti Asma Che Aziz

Abstract


Smartphone devices are very useful since they were equipped with multiple sensors such as an accelerometer sensor, gyroscope sensor, magnetometer sensor and others. The availability of these sensors allows the user to track and record the data when users undergo exercise activity especially walking activity. A step counter is a tool that calculates the step taken by the user when performing their walking activity. In this paper, the accelerometer sensor was used to collect the acceleration data for the x-axis, y-axis, and z-axis. The data collected from the sensor was filtered before applied for counting steps to avoid inaccurate detection since signals collected consist of noise signal as well. Peak detection method used to determine the number of steps taken by the user during their exercise activity. The experimental test was carried out for two types of repetition exercise activity which are cardiovascular activity and weightlifting activity. The smartphone devices were placed on the hand and in the pocket. The results that are obtained from this test is recorded and validated with the manual counting.

Keywords


Acceleration; Filter; Peak Detection; Step Count;

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References


Matthias Kranz, A. M. (2012). The mobile fitness coach: Towards individualized skill assessment using personalized mobile devices. Pervasive and Mobile Computing, doi:10.1016.

Nusrat Jahan, M. A. (2013). Walking Steps Counting and Distance Measurement on User Smart Phone. NCICIT 2013: 1st National Conference on Intelligent Computing and Information,Technology .

Haley Andrews, N. F. (2015). SAM Fitness: An Android Wellness Application. Worcester Polytechnic Institute.

Jatuporn Chinrungrueng, S. S. (2014). My act: an automatic detection of daily physical activity and calorie expenditure using smart phones. Journal of Assistive, Rehabilitative & Therapeutic Technologies, Vol 2.23187

Ms. Najme Zehra Naqvi, D. A. (2012). Step Counting Using Smartphone-Based Accelerometer. International Journal on Computer Science and Engineering (IJCSE), Vol. 4 No. 05.

Qingchi Zeng, B. Z. (2014). A Simple Step Counting Method Based on Smartphone Acceleration Sensors. Winter, 87-88.

Ying-Wen Bai, C.-H. Y., & Wu, S.-C. (2014). Using a Three-Axis Accelerometer and GPS Module in a Smart Phone to Measure Walking Steps and Distance. CCECE.

Melis Oner, J. A.-S. (2012). Towards the Run and Walk Activity Classification through Step Detection – An Android Application. 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE.

Huang, X. Y. (2015). An Accurate Step Detection Algorithm Using Unconstrained Smartphones . 27th Chinese Control and Decision Conference(CCDC), 5682-5687.

Sampath Jayalath, N. A. (2013). A Gyroscope Based Accurate Pedometer Algorithm. International Conference on Indoor Positioning and Indoor Navigation

Lee, Y. J. (2015). New Interface Design Using Accelerator Sensor for Smart Phone. International Journal of Smart Home, Vol. 9, No. 1.

Chandgadkar, A. (2013). An Indoor Navigation System For Smartphones. London: Department of Computer Science


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ISSN: 2180-1843

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