Estimation of Driver Drowsiness Using Blood Perfusion Analysis of Facial Thermal Images in a Driving Simulator

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Tashakori Masoumeh; NAHVI ALI; SHAHIDIAN AZADEH; Ebrahimian Hadikiashari Serajeddin; Bakhoda Hamidreza

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Journal Paper

Paper Information

Journal: JOURNAL OF SLEEP SCIENCES Year:2018 | Volume:3 | Issue:3-4 Page(s): 45-52

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Title

Estimation of Driver Drowsiness Using Blood Perfusion Analysis of Facial Thermal Images in a Driving Simulator

Author(s)

Keywords

Sleep

Skin temperature

Thermography

Driving simulator

Abstract

Background and Objective: Driver drowsiness is a major cause of fatal driving accidents worldwide, which can be prevented by an early detection. Driver drowsiness results in reduction of blood flow and change in facial thermal pat-terns. In this paper, a drowsiness detection system was designed to estimate the level of drowsiness by analyzing facial Skin temperature patterns. Materials and Methods: 12 subjects drove on a highway in a Driving simulator, while their facial temperature im-age was captured by a thermal camera. The subjects’ drowsiness levels were independently estimated by the observer rating of drowsiness (ORD) method. Facial blood vessels were located by a four-step algorithm and tracked in each frame. The mean value of the pixel intensities of the facial blood regions formed a sequence of data. Variations of facial Skin temperature signals were investigated for three main blood vessels. Results: Facial Skin temperature decreased at three levels of Sleepiness from wakefulness to extreme drowsiness. Temperature near the supratrochlear, angular, and facial arteries decreased by 0. 54 º C, 0. 33 º C, and 0. 32 º C from wake-fulness to extreme drowsiness, respectively. All subjects except one experienced Skin temperature decrease from wake-fulness to extreme drowsiness. Conclusion: It was shown that the drivers’ facial blood vessels temperature decreased as the level of drowsiness in-creased. Driver drowsiness can be detected by monitoring the change in the facial Skin temperature signal during driv-ing. Facial thermal imaging is a promising non-intrusive method to detect driver drowsiness.

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References

Evaluation of dynamics of forehead skin temperature under induced drowsiness

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APA: Copy

Tashakori, Masoumeh, NAHVI, ALI, SHAHIDIAN, AZADEH, Ebrahimian Hadikiashari, Serajeddin, & Bakhoda, Hamidreza. (2018). Estimation of Driver Drowsiness Using Blood Perfusion Analysis of Facial Thermal Images in a Driving Simulator. JOURNAL OF SLEEP SCIENCES, 3(3-4), 45-52. SID. https://sid.ir/paper/354820/en

Vancouver: Copy

Tashakori Masoumeh, NAHVI ALI, SHAHIDIAN AZADEH, Ebrahimian Hadikiashari Serajeddin, Bakhoda Hamidreza. Estimation of Driver Drowsiness Using Blood Perfusion Analysis of Facial Thermal Images in a Driving Simulator. JOURNAL OF SLEEP SCIENCES[Internet]. 2018;3(3-4):45-52. Available from: https://sid.ir/paper/354820/en

IEEE: Copy

Masoumeh Tashakori, ALI NAHVI, AZADEH SHAHIDIAN, Serajeddin Ebrahimian Hadikiashari, and Hamidreza Bakhoda, “Estimation of Driver Drowsiness Using Blood Perfusion Analysis of Facial Thermal Images in a Driving Simulator,” JOURNAL OF SLEEP SCIENCES, vol. 3, no. 3-4, pp. 45–52, 2018, [Online]. Available: https://sid.ir/paper/354820/en

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