Heart on the road: HRV analysis for monitoring a driver's affective state

Heart on the road: HRV analysis for monitoring a driver's affective state. Riener, A., Aly, M., & Ferscha, A. In 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2009), pages 8, University of Duisburg-Essen, Essen, Germany, September 21--22, 2009. ACM Digital Library. ISBN: 978-1-60558-571
abstract bibtex

Driving a vehicle is a task affected by an increasing number and a rising complexity of Driver Assistance Systems (DAS) resulting in a raised cognitive load of the driver, and in consequence to the distraction from the main activity of driving. A number of potential solutions have been proposed so far, however, although these techniques broaden the perception horizon (e.g. the introduction of the sense of touch as additional information modality or the utilization of multimodal instead of unimodal interfaces), they demand the attention of the driver too. In order to cope with the issues of workload and/or distraction, it would be essential to find a non-distracting and noninvasive solution for the emergence of information. In this work we have investigated the application of heart rate variability (HRV) analysis to electrocardiography (ECG) data for identifying driving situations of possible threat by monitoring and recording the autonomic arousal states of the driver. For verication we have collected ECG and global positioning system (GPS) data in more than 20 test journeys on two regularly driven routes during a period of two weeks. First results have shown that an indicated difference of the arousal state of the driver for a dedicated point on a route, compared to its usual state, can be interpreted as a warning sign and used to notify the driver about this, perhaps safety critical, change. To provide evidence for this hypothesis it would be essential to conduct a large number of journeys on different times of the day, using different drivers and different roadways, in the next step.

@InProceedings{Riener2009:AutoUI:HeartOnTheRoad,
  Title                    = {Heart on the road: {HRV} analysis for monitoring a driver's affective state},
  Author                   = {Andreas Riener and Mohamed Aly and Alois Ferscha},
  Booktitle                = {1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2009)},
  Year                     = {2009},
  Address                  = {University of Duisburg-Essen, Essen, Germany},
  Month                    = {September 21--22},
  Note                     = {{ISBN:} 978-1-60558-571},
  Pages                    = {8},
  Publisher                = {ACM Digital Library},
  Abstract                 = {Driving a vehicle is a task affected by an increasing number and a rising complexity of Driver Assistance Systems (DAS) resulting in a raised cognitive load of the driver, and in consequence to the distraction from the main activity of driving. A number of potential solutions have been proposed so far, however, although these techniques broaden the perception horizon (e.g. the introduction of the sense of touch as additional information modality or the utilization of multimodal instead of unimodal interfaces), they demand the attention of the driver too. In order to cope with the issues of workload and/or distraction, it would be essential to find a non-distracting and noninvasive solution for the emergence of information. In this work we have investigated the application of heart rate variability (HRV) analysis to electrocardiography (ECG) data for identifying driving situations of possible threat by monitoring and recording the autonomic arousal states of the driver. For verication we have collected ECG and global positioning system (GPS) data in more than 20 test journeys on two regularly driven routes during a period of two weeks. First results have shown that an indicated difference of the arousal state of the driver for a dedicated point on a route, compared to its usual state, can be interpreted as a warning sign and used to notify the driver about this, perhaps safety critical, change. To provide evidence for this hypothesis it would be essential to conduct a large number of journeys on different times of the day, using different drivers and different roadways, in the next step.},
  Days                     = {21},
  Keywords                 = {On-the-road studies; Driver-vehicle interface; Electrocardiography (ECG); Emotional state recognition; HRV analysis},
  Owner                    = {Andreas Riener},
  Timestamp                = {2009.09.22}
}

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