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CapSeat - Capacitive Proximity Sensing for Automotive Activity Recognition

: Braun, Andreas; Frank, Sebastian; Majewski, Martin; Wang, Xiaofeng


Association for Computing Machinery -ACM-; Association for Computing Machinery -ACM-, Special Interest Group on Computer and Human Interaction -SIGCHI-:
AutomotiveUI 2015, 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. Proceedings : Nottingham, UK, September 1-3, 2015
New York: ACM Press, 2015
ISBN: 978-1-4503-3736-6
International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI) <7, 2015, Nottingham>
Fraunhofer IGD ()
activity recognition; capacitive sensors; proximity sensing; safety concepts; classifications

Inattentiveness is one of the major causes of traffic accidents. Advanced car safety systems try to mitigate this by detecting potential signs of distraction or tiredness, and providing alerts to the driver. In this paper we present CapSeat - a car seat equipped with integrated capacitive proximity sensors that are used to measure a wide range of physiological parameters about the driver. This can support safety systems by detecting inattentiveness and increase passive safety by facilitating suitable seat adjustments and posture detection. We present a sensor electrode layout suitable for detecting the necessary parameters and processing methods that acquire multiple physiological parameters from sensor data, using a variety of different algorithms. A prototype of the system is presented that was evaluated for all detectable parameters in a proof-of-concept study. We achieved a classification precision between 95% and 100%.