Video-Based Measure Of Driver Heart Rate For Naturalistic Driving Data

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2014-08-25

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Abstract

Internal driver events such as emotional arousal do not consistently elicit observable behaviors. However, heart rate (HR) offers promise as a surrogate measure for predicting these states in drivers. Imaging photoplethysmography (IPPG) can measure HR from face video recorded in static, indoor settings, but has yet to be examined in an in-vehicle driving environment. Methods Participants (N = 10) completed an on-road driving task whilst wearing a commercial, chest-strap style heart rate monitor (“baseline”). IPPG was applied to driver face video to estimate HR and the two measures of HR were compared. Results For 4 of 10 participants, IPPG produced a valid HR signal (± 5 BPM of baseline) between 48 and 75% of trip duration. For the remaining participants, IPPG accuracy was poor (< 20%). Conclusions In-vehicle IPPG is achievable, but significant challenges remain. Practical applications The relationship between IPPG accuracy and various confounding factors was quantified for future refinement.

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Keywords

Cognitive distraction, Cognitive workload, Photoplethysmography, Computer vision, Heart rate

Citation

Kuo, J., Koppel, S., & Charlton, J. (2014, August). Video-Based Measure Of Driver Heart Rate For Naturalistic Driving Data. Paper presented at the Fourth International Symposium on Naturalistic Driving Research, Blacksburg, VA. Presentation retrieved from http://www.apps.vtti.vt.edu/PDFs/ndrs-2014/Kuo-2014.pdf