Numerical Motion Analyzing Based on Recorded Empirical Data by Smartphone Features

Subject Areas : aerospace

Bahador  Abolpour ¹ (Department of Chemical Engineering,Sirjan University of Technology, Sirjan, Iran)
Yaser  Taghipour ² (Department of Mechanical Engineering, Sirjan University of Technology)

Received: 2022-12-22 Accepted : 2024-06-23 Published : 2024-06-23

Keywords: Smartphone, Motion analysis, Sensor, Global positioning system,

Abstract :

Abstract: This study presents a new method to analyse the motion of moving objects. The novelty of this study is that the presented work obtains your location based on the coupled measured data using the GPS and other motion sensors of a smart phone. This method can be used for GPS free navigations in future studies. The smartphone sensors measure the desired values and a developed Android application records this data. A developed MATLAB code analyses these values for car road travel using multiple coordinate transformations and removes the effects of Earth's gravity from the measured acceleration. It is recognized that the presented method can be used to analyse the movement and performance of the studied material. The obtained results show that the integration of data recorded by the accelerometer sensor integrates the effects of noise and this sensor is not a convenient feature to obtain the instantaneous location. Calculating the acceleration using GPS data may also not be accurate in this case. Getting the location and acceleration using a GPS sensor and accelerometer is more accurate.

References:

[1] Kosse, N. M., Caljouw, S., Vervoort, D., Vuillerme, N., and Lamoth, C. J., Validity and Reliability of Gait and Postural Control Analysis Using the Tri-Axial Accelerometer of the iPod Touch, Annals of Biomedical Engineering, Vol. 43, 2015, pp. 1935-1946, Doi: 10.1007/s10439-014-1232-0.
[2] Muro-de-la-Herran, A., Garcia-Zapirain, B., and Mendez-Zorrilla, A., Gait Analysis Methods: an Overview of Wearable and Non-Wearable Systems, Highlighting Clinical Applications, Sensors, Vol. 14, No. 2, 2014, pp. 3362-3394, DOI: 10.3390/s140203362.
[3] Milani, P., Coccetta, C. A., Rabini, A., Sciarra, T., Massazza, G., and Ferriero, G., Mobile Smartphone Applications for Body Position Measurement in Rehabilitation: A Focus on Goniometric Tools, Physical Medicine and Rehabilitation, Vol. 6, No. 11, 2014, pp. 1038-1043, DOI: 10.1016/j.pmrj.2014.05.003.
[4] Mourcou, Q., Fleury, A., Franco, C., Klopcic, F., and Vuillerme, N., Performance Evaluation of Smartphone inertial Sensors Measurement for Range of Motion, Sensors, Vol. 15, No. 9, 2015, pp. 23168-23187, DOI: 10.3390/s150923168.
[5] Verghese, J., Holtzer, R., Lipton, R. B., and Wang, C., Quantitative Gait Markers and Incident Fall Risk in Older Adults, Journals of Gerontology Series A: Biological Sciences and Medical Sciences, Vol. 64, No. 8, 2009, pp. 896-901, DOI: 10.1093/gerona/glp033.
[6] Zhao, Y., Mobile Phone Location Determination and Its Impact on Intelligent Transportation Systems, IEEE Transactions on Intelligent Transportation Systems, Vol. 1, No. 1, 2000, pp. 55-64, DOI: 10.1109/6979.869021.
[7] Weiland, R., Purser, L., Intelligent Transportation Systems, Transportation Research, Vol. 1, 2009, pp: 40-53.
[8] Xia, H., Qiao, Y., Jian, J. and Chang, Y., Using Smart Phone Sensors to Detect Transportation Modes, Sensors, Vol. 14, No. 11, 2014, pp. 20843-20865, DOI: 10.3390/s141120843.
[9] Kalra, N., Bansal, D., Analyzing Driver Behavior Using Smartphone Sensors: a Survey, International Journal of Electronic and Electrical Engineering, Vol. 7, No. 7, 2014, pp. 697-702.
[10] Thompson, C., White, J., Dougherty, B., Albright, A., and Schmidt, D.C., Using Smartphones to Detect Car Accidents and Provide Situational Awareness to Emergency Responders, Mobile Wireless Middleware, Operating Systems and Applications, Vol. 48, 2010, pp. 29-42, DOI: 10.1007/978-3-642-17758-3_3.
[11] Abolpour, B., Abolpour, R., and Hekmatkhah R., GPS-Independent Navigation Using Smartphone Sensors, SN Applied Sciences, Vol. 1 No. 11, 2019, pp. 1-9, DOI: 10.1007/s42452-019-1401-8.
[12] El-Rabbany, A. D., Coordinate Systems, and Map Projections, London, England: Artech House Publishers, 2002, pp. 47-68.
[13] Cai, G., Chen, B. M., and Lee, T. H., Coordinate Systems and Transformations, In Unmanned Rotorcraft Systems; London, England: Springer-Verlag, 2011, pp. 23-34, DOI: 10.1007/978-0-85729-635-1_2.
[14] Cook, M. V., Systems of Axes and Notation, Oxford, England: Elsevier, 2013, pp. 13-32, DOI: 10.1016/B978-0-08-098242-7.00002-X.
[15] Serway, R. A., Jewett, J. W., Universal Gravitation. Boston, USA: Brooks Cole, 1999, pp. 388-416.
[16] Champion, K. S. W., Cole, A. E., and Kantor, A. J., Standard and Reference Atmospheres, USA: Air Force Geophysics Laboratory, 1985, pp. 1-43.
[17] Soares, S. M. C., Sodre, J. R., Effects of Atmospheric Temperature and Pressure on the Performance of a Vehicle, Proceedings of the Institution of Mechanical Engineers Part D: Journal of Automobile Engineering, Vol. 216, No. 6, 2002, pp, 473-477, DOI: 10.1243/09544070260137499.
[18] Balicki, W., Glowacki, P., Szczecinski, S., Chachurski, R., and Szczecinski, J., Effect of the Atmosphere on the Performances of Aviation Turbine Engines. Acta Mechanica et Automatica, Vol. 8, No. 2, 2014, DOI: 10.2478/ama-2014-0012.