IEMEK Journal of Embedded Systems and Applications (대한임베디드공학회논문지)

Institute of Embedded Engineering of Korea (대한임베디드공학회)
권호 표지
DOI QR코드

DOI QR Code

Estimation of Human Location in Indoor Environment using BLE-based Beacon

BLE기반 비콘을 이용한 실내 환경에서의 사용자 위치추정

  • Received : 2021.08.26
  • Accepted : 2021.09.24
  • Published : 2021.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we propose a method for a mobile robot to estimate a specific location of a service provision target using a beacon-tag for the purpose of providing location-based services (LBS) to users in an indoor environment. To estimate the location, the irregular characteristics and error factors of the received signal strength indicator (RSSI) generated from the beacon are analyzed, and the distance conversion function is derived from the RSSI data extracted by applying a Gaussian filter. Then, the distance data converted from the plurality of beacons estimates an indoor location through a triangulation technique. After that, the improvement in the location estimation is analyzed by applying the temporal confidence reasoning technique. The possibility of providing a LBS of a mobile robot was confirmed through a location estimation experiment for a plurality of designated locations in an indoor environment.

Keywords

Acknowledgement

본 논문은 정부 (과학기술정보통신부)의 재원으로 한국연구재단의 지원(No. NRF- 2021R1F1A 1063669)과 2021년도 산업통상자원부 및 산업기술평가관리원 연구비 지원에 의한 연구임 (No. 20000515).

References

  1. H. Choi, J. Park, Y. Moon, "Ubiquitous Sensor Network Based Localization System for Public Guide Robot," Journal of the Korea Institute of Information and Communication Engineering, Vol. 10, No. 10, pp. 1920-1926, 2006 (in Korean).
  2. W. Kim, "A Mobile Robot System Based on RFID Environment," The Journal of Korean Institute of Information Technology, Vol. 5, No. 4, pp. 25-30, 2007 (in Korean).
  3. A.S. Kim, J.G. Park, J.G. Hwang, "Enhanced Indoor Positioning Algorithm Using WLAN RSSI Measurements Considering the Relative Position Information of AP Configuration," Journal of Institute of Control, Robotics and Systems, Vol. 19, No. 2, pp. 146-151, 2013 (in Korean). https://doi.org/10.5302/J.ICROS.2013.19.2.146
  4. J. Seo, Y.H. Jeong, Y.J. Bae, H.S. Yoo, Y.D Kim, D.K Kim, "Development of UWB-based Indoor Positioning System for Robot Tracking," The Journal of Korean Institute of Communications and Information Sciences, Vol. 44, No. 4, pp. 701-708, 2019 (in Korean). https://doi.org/10.7840/kics.2019.44.4.701
  5. J.N. Lee, H.Y. Kang, Y.T. Shin, J.B. Kim, "Indoor Positioning Algorithm Combining Bluetooth low Energy Plate with Pedestrain Dead Reckoning," Journal of Korea Institute of Information and Communication Engineering, Vol. 22, No. 2, pp. 302-313, 2018 (in Korean). https://doi.org/10.6109/JKIICE.2018.22.2.302
  6. J.H. Park, J.P. Lee, Y.U. Yun, D.H. An, Y.O. Kim, "A Study on the Signal Analysis of BLE Beacon According to the Environment," In Proceedings of Symposium of the Korean Institute of communications and Information Sciences, Vol. 60, No. 01, pp. 1462-1463, 2016 (in Korean).
  7. C.P. Yoon, C.G. Hwang, "Efficient Indoor Positioning Systems for Indoor Location-based Service Provider," Journal of the Korea Institute of Information and Communication Engineering, Vol. 19, No. 6, pp. 1368-1373, 2017 (in Korean). https://doi.org/10.6109/JKIICE.2015.19.6.1368
  8. H.S. Cho, "A Study on Interference Cancellation of Adaptive Frequency Hopping System," Journal of Korea Institute of Information, Electronics, and Communication Technology, Vol. 10, No. 5, pp. 396-401, 2017 (in Korean). https://doi.org/10.17661/JKIIECT.2017.10.5.396
  9. J.G. Lee, Y.D Kim, Y.W Ko, "Filter Algorithm for Accurate Measurement of the RSSI Value of BLE Beacon," Proceedings of the Korean Information Science Society Conference, Vol. 42, No. 01, pp. 1871-1873, 2015 (in Korean).
  10. M.H. Kim, B.K. Kim, Y.W. Ko, K.S. Bang, "Indoor Location Tracking System of Low Energy Beacon Using Gaussian Filter," The Journal of Korean Institute of Information Technology, Vo. 14, No. 6, pp. 67-74, 2016 (in Korean).
  11. M.G. Seong, S.S. Yun, "Estimation of Interior Location Using Regression Analysis of Beacon," In Proceedings of the Fall Conference of the Busan, Ulsan, Gyeongnam Branch of the Korea Society of Automotive Engineers, pp. 26-27, 2020 (in Korean).
  12. H.G. Jeong, T.H. Park, J.W. Kwon, "A Study on Improvement of Indoor Positioning Accuracy Using Diagonal Survey Method," The Journal of the Korea Institute of Intelligent Transport Systems, Vol. 17, No. 5, pp. 160-172, 2018. https://doi.org/10.12815/kits.2018.17.5.160
  13. S.G. Kim, T.H. Kim, S.W. Tak, "Performance Evaluation of RSSI-based Trilateration Localization Methods," Journal of the Korea Institute of Information and Communication Engineering, Vol. 15, No. 11, pp. 2488-2492, 2011 (in Korean). https://doi.org/10.6109/JKIICE.2011.15.11.2488
  14. B.S. Lee, S.W. Kim, "A Study on Self-Localization of Home Wellness Robot Using Collaboration of Trilateration and Triangulation," Journal of IKEEE Vol. 18, No. 1, pp. 57-63, 2014 (in Korean). https://doi.org/10.7471/IKEEE.2014.18.1.057
  15. G.H. Lim, C.H. Yi, I.H. Suh, S.W. Hong, "Robust Semantic World Modeling by Beta Measurement Likelihood in a Dynamic Indoor Environment," In Proceedings of the International Conference on Knowledge Engineering and Ontology Development, pp. 311-316, 2011.
  16. S.S. Yun, M.S. Kim, M.T. Choi, J.B. Song, "Interaction Intent Analysis of Multiple Persons Using Nonverbal Behavior Features," Journal of Institute of Control, Robotics and Systems, Vol. 19, No. 8, pp. 738-744, 2013 (in Korean). https://doi.org/10.5302/J.ICROS.2013.13.1893