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Vol. 34, No. 8(3), S&M3042

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Vol. 32, No. 8(2), S&M2292

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Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
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Sensors and Materials, Volume 27, Number 1 (2015)
Copyright(C) MYU K.K.
pp. 51-59
S&M1045 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2015.1068
Published: January 29, 2015

Real-Time Driver's Biological Signal Monitoring System [PDF]

Jin Hong Ju, Young Jun Park, Jaehee Park, Boon Giin Lee, Jaecheon Lee and Jea Yeol Lee

(Received July 14, 2014; Accepted December 8, 2014)

Keywords: biological signals, respiration, gripping force, PPG, driver's state of vigilance

A real-time system is presented for monitoring the driver's biological signals, including respiration, the gripping force, and a photoplethysmogram (PPG). The proposed monitoring system is composed of three biological sensors, an interface circuit, a data acquisition (DAQ) board, and a personal computer (PC). The respiration and gripping force signals are obtained from pressure sensors attached to the seat belt and steering wheel, respectively. The PPG signal is acquired from a PPG sensor that consists of a light-emitting diode (LED) and a phototransistor (PT) attached to the steering wheel. The characteristics of the biological sensors used in the proposed monitoring system are comparable to those of proven sensors. A real-time monitoring program used to display and analyze the three biological signals is also developed using LabView, and used to calculate and display the peak amplitude and interval of the PPG and respiration signals, along with the driver's gripping force applied to the steering wheel. The results show that the proposed real-time driver's biological signal monitoring system can be effectively utilized for measuring a driver's state of vigilance.

Corresponding author: Jaehee Park


Cite this article
Jin Hong Ju, Young Jun Park, Jaehee Park, Boon Giin Lee, Jaecheon Lee and Jea Yeol Lee, Real-Time Driver's Biological Signal Monitoring System, Sens. Mater., Vol. 27, No. 1, 2015, p. 51-59.



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