Efficient implementation and design of a new single-channel electrooculography-based human-machine interface system

J. F. Wu, A. M.S. Ang, K. M. Tsui, H. C. Wu, Y. S. Hung, Y. Hu, J. N.F. Mak, S. C. Chan, Z. G. Zhang

Research output: Contribution to journalArticlepeer-review

40 Citations (Scopus)

Abstract

This brief introduces a new and practical human-machine interface (HMI) system based on single-channel electrooculography (EOG) signals. The proposed system uses a consumer wireless recording device to collect EOG and employs new encoding/decoding paradigms to convey users' intentions with EOG from eye movements including blinking and looking up. The simplicity and mobility of the system provides a comfortable and practical solution to HMI. Furthermore, to reduce the hardware complexity and power consumption of the signal processing modules of the EOG-based HMI system, a novel multiplierless implementation is developed, where all the algorithms involved, such as bandpass filtering, wavelet filtering, and support vector machine, can be realized using a limited number of adders and shifters only. Experimental results show that the proposed system offers a simple, practical, and yet reliable EOG-based HMI with low complexity and power consumption.

Original languageEnglish
Article number6949633
Pages (from-to)179-183
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Volume62
Issue number2
DOIs
Publication statusPublished - Feb 2015
Externally publishedYes

Keywords

  • electrooculography
  • human-machine interface
  • multiplier-less implementation
  • support vector machine
  • wavelet

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