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Position Estimation and Tracking with a Fuzzy-Logic-Based Adaptive Strong Tracking Kalman Filter for Capacitive Touch Panels

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Forthcoming Networks and Sustainability in the IoT Era (FoNeS-IoT 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 130))

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Abstract

A capacitive touch panel (CTP) is one of most important applications that is used in most of the human controlled electronic devices. The sensor detects CTP and decide if there is error or not. The error might be caused by the speed of touching the CTP. However, the low touching speeds cause more errors than the fast ones. The paper of consideration introduces an algorithm with smooth tracking and predict the position. Many methods have been studied to mitigate the errors, including moving average filter (MAF) method, Kalman filter (KF) and a strong tracking Kalman filter (STKF). Generally, STKF succeed to estimate the normal and fast speed of touching the CTP, whereas it fails in estimating the low speed. The paper of consideration proposes a method that integrates fuzzy logic with STKF to decrease the error produced from low speed of finger movement. Fuzzy logic provides a solution for this problem that results in a smooth tracking at various speeds (low, high, normal and nonlinear cases).

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References

  1. Yuan, K., Wang, Q., Wang, L.: Fuzzy-logic-based terrain identification with multisensor fusion for transtibial amputees. IEEE/ASME Trans. Mechatron. 20(2), 618–630 (2014)

    Article  Google Scholar 

  2. Deters, C., Lam, H.K., Secco, E.L., Würdemann, H.A., Seneviratne, L.D., Althoefer, K.: Accurate bolt tightening using model-free fuzzy control for wind turbine hub bearing assembly. IEEE Trans. Control Syst. Technol. 23(1), 1–12 (2014)

    Article  Google Scholar 

  3. Hasanien, H.M., Matar, M.: A fuzzy logic controller for autonomous operation of a voltage source converter-based distributed generation system. IEEE Trans. Smart Grid 6(1), 158–165 (2014)

    Article  Google Scholar 

  4. Li, H., Gong, M., Liu, J.: A local statistical fuzzy active contour model for change detection. IEEE Geosci. Remote Sens. Lett. 12(3), 582–586 (2014)

    Article  Google Scholar 

  5. Wang, L.C., Zeng, X.Y., Koehl, L., Chen, Y.: Intelligent fashion recommender system: fuzzy logic in personalized garment design. IEEE Trans. Hum. Mach. Syst. 45(1), 95–109 (2014)

    Article  Google Scholar 

  6. Esposito, C., Ficco, M., Palmieri, F., Castiglione, A.: Smart cloud storage service selection based on fuzzy logic, theory of evidence and game theory. IEEE Trans. Comput. 65(8), 2348–2362 (2015)

    Article  MathSciNet  Google Scholar 

  7. Nasir, A.N.K., Tokhi, M.O.: An improved spiral dynamic optimization algorithm with engineering application. IEEE Trans. Syst. Man Cybern. Syst. 45(6), 943–954 (2015)

    Article  Google Scholar 

  8. Van, T.L., Nguyen, T.H., Lee, D.C.: Advanced pitch angle control based on fuzzy logic for variable-speed wind turbine systems. IEEE Trans. Energy Convers. 30(2), 578–587 (2015)

    Article  Google Scholar 

  9. Ho, H.F., Wong, Y.K., Rad, A.B.: Adaptive fuzzy approach for a class of uncertain nonlinear systems in strict-feedback form. ISA Trans. 47(3), 286–299 (2008)

    Article  Google Scholar 

  10. Tong, S., Liu, C., Li, Y., Zhang, H.: Adaptive fuzzy decentralized control for large-scale nonlinear systems with time-varying delays and unknown high-frequency gain sign. IEEE Trans. Syst. Man Cybern. Part B (Cybern.) 41(2), 474–485 (2010)

    Google Scholar 

  11. Tong, S.C., Li, Y.M., Feng, G., Li, T.S.: Observer-based adaptive fuzzy backstepping dynamic surface control for a class of MIMO nonlinear systems. IEEE Trans. Syst. Man Cybern. Part B (Cybern.) 41(4), 1124–1135 (2011)

    Google Scholar 

  12. Lin, C.L., Chang, Y.M., Hung, C.C., Tu, C.D., Chuang, C.Y.: Position estimation and smooth tracking with a fuzzy-logic-based adaptive strong tracking Kalman filter for capacitive touch panels. IEEE Trans. Industr. Electron. 62(8), 5097–5108 (2015)

    Article  Google Scholar 

  13. Ghelli, A., Hagras, H., Aldabbagh, G.: A fuzzy logic-based retrofit system for enabling smart energy-efficient electric cookers. IEEE Trans. Fuzzy Syst. 23(6), 1984–1997 (2015)

    Article  Google Scholar 

  14. Li, Y., Tong, S., Li, T.: Adaptive fuzzy output feedback dynamic surface control of interconnected nonlinear pure-feedback systems. IEEE Trans. Cybern. 45(1), 138–149 (2014)

    Article  Google Scholar 

  15. Tong, S., Sui, S., Li, Y.: Observed-based adaptive fuzzy tracking control for switched nonlinear systems with dead-zone. IEEE Trans. Cybern. 45(12), 2816–2826 (2015)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Electrical and Electronic Engineering Department, AI and Robotics Institute, Near East University, Nicosia, Mersin 10, Turkey

    Abdelrahman Almomani

  2. Artificial Intelligence Engineering Department, AI and Robotics Institute, Near East University, Nicosia, Mersin 10, Turkey

    Fadi Al-Turjman

Authors
  1. Abdelrahman Almomani
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  2. Fadi Al-Turjman
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Correspondence to Abdelrahman Almomani .

Editor information

Editors and Affiliations

  1. Innovation and Information Technologies Center, Near East University, Mersin, Turkey

    Fadi Al-Turjman

  2. Department of Computer Engineering, Istanbul Aydin University, Besyol Mah, Istanbul, Turkey

    Jawad Rasheed

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Almomani, A., Al-Turjman, F. (2022). Position Estimation and Tracking with a Fuzzy-Logic-Based Adaptive Strong Tracking Kalman Filter for Capacitive Touch Panels. In: Al-Turjman, F., Rasheed, J. (eds) Forthcoming Networks and Sustainability in the IoT Era . FoNeS-IoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 130. Springer, Cham. https://doi.org/10.1007/978-3-030-99581-2_4

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