Andreas Riener, Mohamed Aly, Alois Ferscha,
"Heart on the road: HRV analysis for monitoring a driver's affective state"
, in ACM Digital Library: First International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2009), September 21-22, Essen, Germany, 9-2009, ISBN: 978-1-60558-571
Original Titel:
Heart on the road: HRV analysis for monitoring a driver's affective state
Sprache des Titels:
Englisch
Original Buchtitel:
First International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2009), September 21-22, Essen, Germany
Original Kurzfassung:
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 verification 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.