Abstract
An indoor tracking system is essential in finding directional guidance and localization in which Inertial Measuring Units (IMUs) plays a vital role in detecting the person’s movement. In this proposed work, to track a moving person an economical three-dimensional (3D) indoor tracking system using foot-mounted Micro-Electro-Mechanical System (MEMS) inertial sensors is presented. Accelerometer and gyroscope form the basic inertial measuring unit, where the accelerometer is used to determine the acceleration rate, thereby obtaining the velocity and position of the person. The gyroscope is used to measure the angular rate of the person. MEMS sensor (MPU-6050) mounted in the foot contain both accelerometer and gyroscope. This sensor measures the position depending on the person’s movement and angular rate. Altitude and heading reference system algorithm is used to track the accurate position of the person by creating 3D animation view using MATLAB.
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References
Sindhanaiselvi D, Shanmuganantham T (2017) Investigation on performance of piezoelectric beam based mems actuator for focusing of micro lens in mobile application. In IEEE international conference of circuits and systems
Sindhanaiselvi D, Shanmuganantham T (2017) Double boss sculptured diaphragm employed piezoresistive mems pressure sensor with Silicon-On-Insulator (SOI). J Eng Sci Technol 12(7)
Foxlin E (2005) Pedestrian tracking with shoe-mounted inertial sensors. IEEE Comput Graph Appl 25(6)
Feng C, AU WSA, Valaee S, Tan Z (2012) Received—signal strength based indoor positioning using compressive sensing. IEEE Trans Mobile Comput 11(12)
Robertson P, Angermann M, Krach B (2009) Simultaneous localization and mapping for pedestrians using only foot-mounted inertial sensors. In: Proceedings of the 11th international conference on ubiquitous computing. ACM, pp 93–96
Bird J, Arden D (2011) Indoor navigation with foot-mounted strap down inertial navigation and magnetic sensors [emerging opportunities for localization and tracking]. IEEE Wire Commun 18(2)
Bacak A, Celebi H (2014) Practical considerations for RSS RF fingerprinting based indoor localization systems. In: Proceedings of 2014 22nd signal processing and communications applications conference (SIU). IEEE
Chen X, Yang P, Chen Y (2015) Analysis and processing on zero position error of MEMS gyroscope. Chin J Sens Actuat 5
Acknowledgements
The authors would like to express sincere gratitude to Pondicherry Engineering College for providing the facilities to do experimentation for this research work and also Exemption from review Proposals which present less than minimal risk fall under ICMR guidelines.
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Sindhanaiselvi, D., Shanmuganantham, T. (2019). Design and Implementation of Indoor Tracking System Using Inertial Sensor. In: Panda, G., Satapathy, S., Biswal, B., Bansal, R. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 521. Springer, Singapore. https://doi.org/10.1007/978-981-13-1906-8_48
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DOI: https://doi.org/10.1007/978-981-13-1906-8_48
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