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http://dx.doi.org/10.14702/JPEE.2018.119

Education Equipment and Its Application for Indoor Position Recognition Using Inertial Measurement Unit Sensor  

Seo, Bo-In (Department of Electrical, Electronic and Control Engineering and IITC, Hankyong National University)
Yu, YunSeop (Department of Electrical, Electronic and Control Engineering and IITC, Hankyong National University)
Publication Information
Journal of Practical Engineering Education / v.10, no.2, 2018 , pp. 119-124 More about this Journal
Abstract
Educational equipment that enables the user or device to recognize the indoor position by using the acceleration and angular velocity of the IMU (Inertial Measurement Unit) sensor is introduced. With this educational equipment, various position recognition and tracking algorithms can be learned and creative engineering design works can be realized. The data value of the IMU sensor is transmitted to the MCU (microcontroller unit) through $I^2C$ (Inter-Integrated Circuit), and the indoor position recognition algorithm is applied by processing the data value through the filter and numerical method. It is then designed to use wireless communication to send and receive processed values and to be recognized by the user. As an example using this equipament, the case of "Implementation and recognition of virtual position using computation of moving direction and distance using IMU sensor" is introduced, and various creative engineering design application is discussed.
Keywords
Educational equipment; Creative engineering design; Inertial Measurement Unit Sensor; Position recognition system;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Indoor Position System [Internet]. Available: https://en.wikipedia.org/wiki/Indoor_positioning_system.
2 L. Atzori, A. Iera, and G. Morabito, "The internet of things: A survey," Comput. Netw., vol. 54, no. 15, pp. 2787-2805, October 2010.   DOI
3 B. W. Cho, N. Y. Kim, and Y. S. Yu, "Education equipment for FPGA design of sensor-based IOT system," J. Pract. Eng. Educ., vol. 8, no. 2, pp. 111-120, December 2016.   DOI
4 Arduino Nano Board [Internet]. Available: https://www.arduino.cc/.
5 9-DOF IMU Module With MPU-9250 [GY-9250] datasheet [Internet]. Available: https://www.invensense.com/wp-content/uploads/2015/02/PS-MPU-9250A-01-v1.1.pdf.
6 Bluetooth to serial module [HC-06] datasheet [Internet]. Available: https://www.gme.cz/data/attachments/dsh.772-148.1.pdf.
7 Arduino Nano Board Specification [Internet]. Available: https://www.arduino.cc/en/Products/Compare.
8 AVR Studio [Internet]. Available: https://www.microchip.com.
9 Riemann method [Internet]. Available: https://en.wikipedia.org/wiki/Riemann_sum.
10 Trapzoidal method [Internet]. Available: https://en.wikipedia.org/wiki/Trapezoidal_rule.
11 Simpson Method [Internet]. Available: https://en.wikipedia.org/wiki/Simpson%27s_rule.
12 K. Seifert and O.Camacho, "Implementing positioning algorithms using accelerometers," Freescale Semiconductor, pp. 1-13, 2007.
13 S. O. H. Madgwick, "An efficient orientation filter for inertial and inertial/magnetic sensor arrays," Report x-io and University of Bristol (UK), vol. 25, pp. 113-118. 2010.
14 Memmove Function [Internet]. Available: https://www.tutorialspoint.com/c_standard_library/c_function_memmove.htm.