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Smartphone Based Distance Estimation Algorithm Using Dynamic Step Length


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DOI: https://doi.org/10.15866/irecap.v8i4.13894

Abstract


In this paper, a new Smartphone sensor-based algorithm is proposed to detect accurate distance estimation. The algorithm consists of two phases, the first phase is for detecting the peaks from the Smartphone accelerometer sensor. The other one is for detecting the step length which varies from step to step. The proposed algorithm is tested and implemented in real environment and it showed promising results. Unlike the conventional approaches, the error of the proposed algorithm is fixed and is not affected by the long distance.
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Keywords


Distance Estimation; Peaks; Step Length; Accelerometer

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References


A. Abadleh, E. Al-Hawari, E. Alkafaween and H. Al-Sawalqah, "Step detection algorithm for accurate distance estimation using dynamic step length," 2017 18th IEEE International Conference on Mobile Data Management (MDM), Daejeon, 2017, pp. 324-327.
http://dx.doi.org/10.1109/mdm.2017.52

Alzantot, M., Youssef, M. (2012, April). UPTIME: Ubiquitous pedestrian tracking using mobile phones. In 2012 IEEE Wireless Communications and Networking Conference (WCNC) (pp. 3204-3209). IEEE.
http://dx.doi.org/10.1109/wcnc.2012.6214359

Pratama, A. R., & Hidayat, R. (2012, September). Smartphone-based pedestrian dead reckoning as an indoor positioning system. In System Engineering and Technology (ICSET), 2012 International Conference on (pp. 1-6). IEEE.
http://dx.doi.org/10.1109/icsengt.2012.6339316

Zeng, Q., Zhou, B., Jing, C., Kim, N., Kim, Y. (2015). A Novel Step Counting Algorithm Based on Acceleration and Gravity Sensors of a Smart-Phone. International Journal of Smart Home, 9(4).
http://dx.doi.org/10.14257/ijsh.2015.9.4.22

Bylemans, I., Weyn, M., & Klepal, M. (2009, October). Mobile phone-based displacement estimation for opportunistic localisation systems. In Mobile Ubiquitous Computing, Systems, Services and Technologies, 2009. UBICOMM'09. Third International Conference on (pp. 113-118). IEEE.
http://dx.doi.org/10.1109/ubicomm.2009.23

Jirawimut, R., Ptasinski, P., Garaj, V., Cecelja, F., & Balachandran, W. (2003). A method for dead reckoning parameter correction in pedestrian navigation system. IEEE Transactions on Instrumentation and Measurement, 52(1), 209-215.
http://dx.doi.org/10.1109/tim.2002.807986

Cho, S. Y., Lee, K. W., Park, C. G., & Lee, J. G. (2003). A personal navigation system using low-cost MEMS/GPS/Fluxgate.

Leppakoski, H., Kappi, J., Syrjarinne, J., & Takala, J. (2002). Error analysis of step length estimation in pedestrian dead reckoning. In ION GPS 2002: 15 th International Technical Meeting of the Satellite Division of The Institute of Navigation.

Liu, Y., Chen, Y., Shi, L., Tian, Z., Zhou, M., & Li, L. (2015). Accelerometer Based Joint Step Detection and Adaptive Step Length Estimation Algorithm Using Handheld Devices. Journal of Communications, 10(7).
http://dx.doi.org/10.12720/jcm.10.7.520-525

Shih, W. Y., Chen, L. Y., & Lan, K. C. (2012, December). Estimating walking distance with a smart phone. In 2012 Fifth International Symposium on Parallel Architectures, Algorithms and Programming (pp. 166-171). IEEE.
http://dx.doi.org/10.1109/paap.2012.33

Pan, M. S., Lin, H. W. (2015). A step counting algorithm for smartphone users: Design and implementation. IEEE Sensors Journal, 15(4), 2296-2305.
http://dx.doi.org/10.1109/jsen.2014.2377193

Zhao, N. (2010). “Full-featured pedometer design realized with 3-Axis digital accelerometer”. Analog Dialogue, 44(06), 1-5.

Susi, M., Renaudin, V., Lachapelle, G. (2013). “Motion mode recognition and step detection algorithms for mobile phone users”. Sensors, 13(2), 1539-1562.
http://dx.doi.org/10.3390/s130201539

Li, F., Zhao, C., Ding, G., Gong, J., Liu, C., & Zhao, F. (2012, September).” A reliable and accurate indoor localization method using phone inertial sensors”. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing (pp. 421-430). ACM.
http://dx.doi.org/10.1145/2370216.2370280

Uddin, M., Nadeem, T. (2014, June). “SpyLoc: a light weight localization system for smartphones”. In 2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) (pp. 72-80). IEEE
http://dx.doi.org/10.1109/sahcn.2014.6990329

Ho, N. H., Truong, P. H., Jeong, G. M. (2016). “Step-detection and adaptive step-length estimation for pedestrian dead-reckoning at various walking speeds using a smartphone”. Sensors, 16(9), 1423.
http://dx.doi.org/10.3390/s16091423

Weinberg, H. (2002). “Using the ADXL202 in pedometer and personal navigation applications”. Analog Devices AN-602 application note, 2(2), 1-6.

Shin, S. H., Park, C. G., Kim, J. W., Hong, H. S., Lee, J. M. (2007). “Adaptive step length estimation algorithm using low-cost MEMS inertial sensors”, 2007 IEEE Sensors Applications Symposium.
http://dx.doi.org/10.1109/sas.2007.374406

Kim, J. W., Jang, H. J., Hwang, D. H., Park, C. (2004). “A step, stride and heading determination for the pedestrian navigation system”. Positioning, 1(08).

A Abadleh, S Han, SJ Hyun, B Lee, and M Kim. 2016. Construction of indoor floor plan and localization. Wireless Network 22, 1 (January 2016), 175-191.
http://dx.doi.org/10.1007/s11276-015-0964-6

A. Abadleh, S. Han, S. J. Hyun, B. Lee and M. Kim, "ILPS: Indoor localization using physical maps and smartphone sensors," Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014, Sydney, NSW, 2014, pp. 1-6.
http://dx.doi.org/10.1109/wowmom.2014.6918960

S. Y. Park, S. J. Heo and C. G. Park, "Accelerometer-based smartphone step detection using machine learning technique," 2017 International Electrical Engineering Congress (iEECON), Pattaya, 2017, pp. 1-4.
http://dx.doi.org/10.1109/ieecon.2017.8075875

Masoud, M., Jaradat, Y., Jannoud, I., Heyasat, O., A Measurement Study of the Quality of Zero Line Programming Technique for Smartphones’ Applications, (2015) International Journal on Communications Antenna and Propagation (IRECAP), 5 (4), pp. 222-227.
http://dx.doi.org/10.15866/irecap.v5i4.6802


Ceruti, A., Bombardi, T., Piancastelli, L., Visual Flight Rules Pilots Into Instrumental Meteorological Conditions: a Proposal for a Mobile Application to Increase In-flight Survivability, (2016) International Review of Aerospace Engineering (IREASE), 9 (5), pp. 144-151.
http://dx.doi.org/10.15866/irease.v9i5.10391


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