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Non-contact measurement of eyeblink by using Doppler sensor

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Abstract

In this report, we introduce an experimental method for eyeblink measurement by utilizing Doppler effect phenomena. In the cognitive science literature, eyeblink has been proposed as a complex phenomenon and acts as a representative of higher nervous processes. We developed an experimental setup in which the measurement of the eyeblink was conducted using a Doppler sensor accompanied by an accelerometer and an EOG (electrooculography) recording. From our experimental results, we found that the Doppler frequency related to blinking contains a dominant frequency at 2 Hz. Finally, we showed that when blinking is accompanied with head and body movements, eyeblink signal is separable by deploying the principal component analysis (PCA).

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References

  1. Stern JA, Skelly JJ (1984) The eye blink and workload consideration. Proc Human Factor SOL 2X:942–944

    Article  Google Scholar 

  2. Baumstimler Y, Parrot J (1971) Stimulus generalization and spontaneous blinking in man involved in a voluntary activity. J Exp Psychoi 88:95–102

    Article  Google Scholar 

  3. Ohira O (1996) Eyeblink activity in a word-naming task as a function of semantic priming and cognitive load. Percept Mot Skills 82:835–842

    Article  Google Scholar 

  4. Staszek K, Wincza K, Gruszczynski S (2012) Driver’s drowsiness monitoring system utilizing microwave Doppler sensor. In: Proc. MIKON, vol. 2, pp 623–626

  5. Ryan SB, Detweiler KL, Holland KH et al (2006) A long-range, wide field-of-view infrared eyeblink detector. J Neurosci Methods 152:74–82

    Article  Google Scholar 

  6. Kwon K, Shipley RJ, Edirisinghe M et al (2013) High-speed camera characterization of voluntary eye blinking kinematics. Kinematics J R Soc Interface 10:20130227

    Article  Google Scholar 

  7. Kim Y (2015) Detection of eye blinking using Doppler sensor with principal component analysis. IEEE Antennas Wirel Propag Lett 14:123–126

    Article  Google Scholar 

  8. Karhunen J, Joutsensalo J (1993), Representation and separation of signals using nonlinear PCA type learning. In: Neural Networks, vol 7, 1, pp 113–127

  9. Jolliffe IT (1986) Principal component analysis. Springer, New York

    Book  MATH  Google Scholar 

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Acknowledgements

This report is supported by JSPS KAKENHI 2530406.

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Correspondence to Amir Maleki.

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Maleki, A., Uchida, M. Non-contact measurement of eyeblink by using Doppler sensor. Artif Life Robotics 23, 279–285 (2018). https://doi.org/10.1007/s10015-017-0414-x

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  • DOI: https://doi.org/10.1007/s10015-017-0414-x

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