A Study on the Method of Detecting the Ghost-Key Phenomenon of Rubber Contact Switch Type Remote Controller for the Smart-TV

  • Authors

    • Sung-Yeol Kwon
    • Hyun-Chang Lee
    https://doi.org/10.14419/ijet.v7i3.24.22526
  • Ghost-key, phantom-key, dynamic scan, rubber contact, remote controller, smart-TV

  • Abstract

    Background/Objectives: In this paper, ghost-key phenomenon detection method was proposed for rubber contact switch type remote controller of smart-TV.

    Methods/Statistical analysis: The principle of ghost-key phenomenon is analyzed when the switches are pressed simultaneously. The requirements of pull-up resistor ratio are obtained by case study with a circuit modeling. The proposed method is an optimized design that the switch has the greatest voltage difference between the normal state and the ghost-key state.

    Findings: In order to verify the proposed method, a remote controller with a rubber contact switch and a microcontroller were set up and tested based on theoretical values. The performance of proposed method was verified that the voltage is apparently distinguishes between normal state and ghost-key state. As a result, analog-to-digital conversion of the microcontroller can be used to detect and remove the ghost-key.

    Improvements/Applications: The proposed method can overcome limitations of other equipment with rubber contact switch. Therefore, the application range of rubber contact switch is expected to be expanded.

     

  • References

    1. [1] Jayavardhana Gubbi, Rajkumar Buyya, Slaven Marusic, Marimuthu Palaniswami. Internet of Things (IoT): A Vision, architectural elements, and future directions: Future Generation Computer Systems. 2013 Sep; 29(7): 1645-1660. DOI:10.1016/j.future.2013.01.010.

      [2] In Lee, Kyoochun Lee. The Internet of Things (IoT): Applications, investments, and challenges for enterprises: Business Horizons. 2015 Jul; 58(4). DOI:10.1016/j.bushor.2015.03.008.

      [3] Apple Inc. Touch screen device, method, and graphical user interface for determining commands by applying heuristics: US Patent US7479949B2; 2006Sep.

      [4] Steven F. Barrett, Daniel J. Pack. Embedded Systems - Design and Applications with the 68HC12 and HCS12.Pearson Prentice-Hall; 2005. pp. 313-319.

      [5] Ronald J. Tocci, Lester P. Laskowski. Microprocessors and Microcomputers Hardware and Software. Prentice-Hall; 1982. pp. 271-279.

      [6] Lan McLoughlin. Computer Peripherals: Nanyang Technological University;2001. Chap.4,pp. 1-17.Available from:http://www.lintech.org/comp-per/

      [7] Shun-Pin Lin. Input device with Ghost key suppression: US Patent US8754790B2; 2014 Jun.

      [8] Don Johns. Membrane Versus Mechanical Keyboards. Electronic products. 1995; 38(1):43.Available from : https://www.electronicproducts.com/Electromechanical_Components/Membrane_versus_mechanical_keyboards.aspx

      [9] Paul H. Dietz, Jonathan Westhues. Resistive Switch Matrix: US Patent Application Publication US20100066572A1; 2010 Mar.

      [10] HyunChang Lee, MyungSeok Lee. A study on Detecting a Ghost-key using Additional Coating at the Membrane type Keyboard. Journal of The Institute of Electronics and Information Engineers. 2016 Jul; 53(7):56-63. DOI:10.5573/ieie.2016.53.7.056.

      [11] Liu Wen-Tong, Chang Chien-Hui. Method and system for detecting hidden ghost keys on keyboard matrix: US Patent US8749407B2;2014 Oct.

      [12] Chun-Hung Cheng, Ying-Wen Bai. Anti-Ghost Key Design for a Notebook Keyboard. Canadian Conference on Electrical and Computer Engineering, Proceeding of the IEEE 28th. 2015 May:577-580.

      [13] Gregory B. Demeo, Henry E. Molvar, David R. Bergerson. Switch assembly: US Patent US5193669A; 1990 Feb.

      [14] John Watkinson. Art of Digital Audio. 2nd ed. Focal Press; 2013 Apr. pp.196-274

      .


  • Downloads

  • Received date: November 30, 2018

    Accepted date: November 30, 2018