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http://dx.doi.org/10.5762/KAIS.2021.22.3.770

Analysis of the characteristics of inertial sensors to detect position changes in a large space  

Hong, Jong-Kyun (Division of Physics, Hanyang University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.22, no.3, 2021 , pp. 770-776 More about this Journal
Abstract
Positioning systems have been actively researched and developed over the past few years and have been used in many applications. This paper presents a method to determine a location in a large space using a sensor system consisting of an accelerometer and a single-axis gyroscope. In particular, to consider usability, a sensor device was loosely worn on the waist so that the experimental data could be used in practical applications. Based on the experimental results of circular tracks with radiuses of 1m and 3m, in this paper, an algorithm using the threshold of rotation angle was proposed and applied to the experimental results. A tracking experiment was performed on the grid-pattern track model. For raw sensor data, the average deviation between the final tracking point and the target point was approximately 15.2 m, which could be reduced to approximately 4.0 m using an algorithm applying the rotation angle threshold.
Keywords
Positioning Systems; Inertial Sensors; Accelerometer; Gyroscope; Movement Tracking; Probability-Based Algorithms;
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1 A. Bose and C. H. Foh, "A practical path loss model for indoor WiFi positioning enhancement," 6th International Conference on Information, Communications & Signal Processing, IEEE, Singapore, Singapore, pp. 1-5, Dec. 2007. DOI: https://doi.org/10.1109/ICICS.2007.4449717   DOI
2 H. L. Dehghani, S. Golmohammadi, K. Shadi, "Extract Non-Line-of-Sight state of base stations and error mitigation technique for wireless localization in micro-cell networks," Computer Communications, Vol. 35, No. 7, pp. 885-893, Feb. 2012. DOI: https://doi.org/10.1016/j.comcom.2012.01.021   DOI
3 R. Sekhar, R. K. Musalay, Y. Krishnamurthy and B. Shreenivas, "Inertial sensor based wireless control of a robotic arm," IEEE International Conference on Emerging Signal Processing Applications, IEEE, NV, USA, pp. 87-90, Jan. 2012. DOI: https://doi.org/10.1109/ESPA.2012.6152452   DOI
4 X. Yun, J. Calusdian, E. R. Bachmann, and R. B. McGhee, "Estimation of Human Foot Motion During Normal Walking Using Inertial and Magnetic Sensor Measurements," IEEE Transactions on Instrumentation and Measurement, Vol. 61, No. 7, July 2012. DOI: https://doi.org/10.1109/TIM.2011.2179830   DOI
5 G. To, M. R. Mahfouz, "Design of Wireless Inertial Trackers for Human Joint Motion Analysis," IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, IEEE, CA, USA, pp. 49-52, Jan. 2012. DOI: https://doi.org/10.1109/BioWireless.2012.6172737   DOI
6 J. Xiao, Z. Liu, Y. Yang, D. Liu, X. Han, "Comparison and analysis of indoor wireless positioning techniques", International Conference on Computer Science and Service System, IEEE, Nanjing, China, pp. 293-296, June 2011. DOI: https://doi.org/10.1109/CSSS.2011.5972088   DOI
7 R. Mautz, "Overview of current indoor positioning systems", Geodesy and Cartography, Vol. 35, No. 1, pp 18-22, March 2009. DOI: https://doi.org/10.3846/1392-1541.2009.35.18-22   DOI
8 L. Coyle, S. Neely, P. Nixon, A. Quigley, "Sensor aggregation and integration in healthcare location based services", Pervasive Health Conference and Workshops, IEEE, Innsbruck, Austria, pp. 1-4, Nov. 2006. DOI: https://doi.org/10.1109/PCTHEALTH.2006.361698   DOI
9 S. Dhar, U. Varshney, "Challenges and business models for mobile location-based services and advertising", Communications of the ACM, Vol. 54, No.5, pp.121-128, May 2011. DOI: https://doi.org/10.1145/1941487.1941515   DOI