Doppler Sensor-Based Blink Duration Estimation by Spectrogram Analysis

Kohei Yamamoto, Kentaro Toyoda, Tomoaki Ohtsuki

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

1 Citation (Scopus)

Abstract

It is known that the blink duration is highly related to drowsiness, where the blink duration is the entire duration of one blink. Hence, it is important to measure the blink duration without any special wearable devices in various application, e.g., driver's monitoring. Although a Doppler sensor could be a key device to realize it, no such blink duration estimation method has been realized so far, since estimating the blink duration is difficult because of the low SNR (Signal to Noise Ratio) of the signal reflected from eyelids. In this paper, we propose a Doppler sensor-based method that estimates the duration, tblink, that is proportional to the actual blink duration. In the proposed method, a spectrogram is firstly calculated from a received signal, and then the timings when eyelids close and open are extracted from that. More specifically, tblink is calculated based on the center-of-gravity of the energy on a spectrogram. We conducted the experiments on five subjects to show the estimation accuracy of our proposed method. We confirmed that our method achieved the average correlation coefficient R of 0.95, furthermore, the average RMSE (Root Mean Square Error) of 46 ms.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Communications, ICC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2018-May
ISBN (Print)9781538631805
DOIs
Publication statusPublished - 2018 Jul 27
Event2018 IEEE International Conference on Communications, ICC 2018 - Kansas City, United States
Duration: 2018 May 202018 May 24

Other

Other2018 IEEE International Conference on Communications, ICC 2018
CountryUnited States
CityKansas City
Period18/5/2018/5/24

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Sensors
Mean square error
Signal to noise ratio
Gravitation
Monitoring
Experiments

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Yamamoto, K., Toyoda, K., & Ohtsuki, T. (2018). Doppler Sensor-Based Blink Duration Estimation by Spectrogram Analysis. In 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings (Vol. 2018-May). [8422999] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2018.8422999

Doppler Sensor-Based Blink Duration Estimation by Spectrogram Analysis. / Yamamoto, Kohei; Toyoda, Kentaro; Ohtsuki, Tomoaki.

2018 IEEE International Conference on Communications, ICC 2018 - Proceedings. Vol. 2018-May Institute of Electrical and Electronics Engineers Inc., 2018. 8422999.

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

Yamamoto, K, Toyoda, K & Ohtsuki, T 2018, Doppler Sensor-Based Blink Duration Estimation by Spectrogram Analysis. in 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings. vol. 2018-May, 8422999, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE International Conference on Communications, ICC 2018, Kansas City, United States, 18/5/20. https://doi.org/10.1109/ICC.2018.8422999
Yamamoto K, Toyoda K, Ohtsuki T. Doppler Sensor-Based Blink Duration Estimation by Spectrogram Analysis. In 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings. Vol. 2018-May. Institute of Electrical and Electronics Engineers Inc. 2018. 8422999 https://doi.org/10.1109/ICC.2018.8422999
Yamamoto, Kohei ; Toyoda, Kentaro ; Ohtsuki, Tomoaki. / Doppler Sensor-Based Blink Duration Estimation by Spectrogram Analysis. 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings. Vol. 2018-May Institute of Electrical and Electronics Engineers Inc., 2018.
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