IR-UWB radar based near-field intentional eyelid movement sensing under fixed head and body motions

Sunghwa Lee, Jiwon Seo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, we introduce a method for sensing intentional eyelid movement using an impulse radio ultra-wideband (IR-UWB) radar. Since it is the first step of the study, we assume that eyes are in the near-field and all the motions, except eyelid movement, are fixed. The measurement of eyelid movement can be utilized in a human computer interface or for the recognition of a driver's drowsiness. If the eyelids move up or down, the amplitude and frequency of radar signals change. We can observe these changes in a three-dimensional graph of raw radar data. Intentional eyelid movements produce some peaks or nulls on the graph. We used two methods to analyze the patterns of eyelid movement. Both methods involve fast Fourier transform (FFT) and exploit a pulse Doppler processing technique of radar signals. Thus, we can calculate the frequency of intentional eyelid movement using these methods. The calculated frequency corresponds to the number of peaks in the raw radar graph.

Original languageEnglish
Title of host publicationICCAS 2017 - 2017 17th International Conference on Control, Automation and Systems - Proceedings
PublisherIEEE Computer Society
Pages1959-1962
Number of pages4
ISBN (Electronic)9788993215137
DOIs
Publication statusPublished - 2017 Dec 13
Event17th International Conference on Control, Automation and Systems, ICCAS 2017 - Jeju, Korea, Republic of
Duration: 2017 Oct 182017 Oct 21

Publication series

NameInternational Conference on Control, Automation and Systems
Volume2017-October
ISSN (Print)1598-7833

Other

Other17th International Conference on Control, Automation and Systems, ICCAS 2017
CountryKorea, Republic of
CityJeju
Period17/10/1817/10/21

Fingerprint

Ultra-wideband (UWB)
Radar
Fast Fourier transforms
Interfaces (computer)
Processing

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Lee, S., & Seo, J. (2017). IR-UWB radar based near-field intentional eyelid movement sensing under fixed head and body motions. In ICCAS 2017 - 2017 17th International Conference on Control, Automation and Systems - Proceedings (pp. 1959-1962). (International Conference on Control, Automation and Systems; Vol. 2017-October). IEEE Computer Society. https://doi.org/10.23919/ICCAS.2017.8204277
Lee, Sunghwa ; Seo, Jiwon. / IR-UWB radar based near-field intentional eyelid movement sensing under fixed head and body motions. ICCAS 2017 - 2017 17th International Conference on Control, Automation and Systems - Proceedings. IEEE Computer Society, 2017. pp. 1959-1962 (International Conference on Control, Automation and Systems).
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Lee, S & Seo, J 2017, IR-UWB radar based near-field intentional eyelid movement sensing under fixed head and body motions. in ICCAS 2017 - 2017 17th International Conference on Control, Automation and Systems - Proceedings. International Conference on Control, Automation and Systems, vol. 2017-October, IEEE Computer Society, pp. 1959-1962, 17th International Conference on Control, Automation and Systems, ICCAS 2017, Jeju, Korea, Republic of, 17/10/18. https://doi.org/10.23919/ICCAS.2017.8204277

IR-UWB radar based near-field intentional eyelid movement sensing under fixed head and body motions. / Lee, Sunghwa; Seo, Jiwon.

ICCAS 2017 - 2017 17th International Conference on Control, Automation and Systems - Proceedings. IEEE Computer Society, 2017. p. 1959-1962 (International Conference on Control, Automation and Systems; Vol. 2017-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Lee S, Seo J. IR-UWB radar based near-field intentional eyelid movement sensing under fixed head and body motions. In ICCAS 2017 - 2017 17th International Conference on Control, Automation and Systems - Proceedings. IEEE Computer Society. 2017. p. 1959-1962. (International Conference on Control, Automation and Systems). https://doi.org/10.23919/ICCAS.2017.8204277