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HUDConCap - Automotive Head-Up Display Controlled with Capacitive Proximity Sensing

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Ambient Intelligence (AmI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10217))

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Abstract

Most of the current Head-Up Display solutions in the automotive domains can not handle user input. Nevertheless, many automotive manufacturers develop and/or implement gesture interaction systems, controlled by the user’s hand, into their head-down infotainment displays. The gesture recognition, precisely the hand tracking, is mostly facilitated with camera systems that monitor the driver or with infrared sensors. These systems require a line of sight between the driver’s hands and the measurement transducer. Therefore, they require interior design integration and are visible to the user. Moreover, the permanent camera monitoring of the driver, in combination with an internet connected vehicle, can cause privacy issues and increase the driver’s feeling of observation.

We therefore present a system that integrates user control into a Head-Up Display, similar to a computer mouse. Moreover, the presented system’s capacitive proximity sensors can sense through non-conductive materials. Thus, the system can be invisibly integrated into existing vehicle structures. In our case, it is part of the steering wheel. With our presented system, vehicle manufactures are able to install a Head-Up display control system without any visible design changes. Furthermore, the manufacturer provides more interaction space in driving situations. Additionally, he can rely on the lower level of driver distraction provided by Head-Up displays. Therefore, the presented system can increase driving safety. The systems usability is shown by a small user-study that consists of performance tests on a proof-of-concept prototype and a questionnaire.

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Frank, S., Kuijper, A. (2017). HUDConCap - Automotive Head-Up Display Controlled with Capacitive Proximity Sensing. In: Braun, A., Wichert, R., Maña, A. (eds) Ambient Intelligence. AmI 2017. Lecture Notes in Computer Science(), vol 10217. Springer, Cham. https://doi.org/10.1007/978-3-319-56997-0_16

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  • DOI: https://doi.org/10.1007/978-3-319-56997-0_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56996-3

  • Online ISBN: 978-3-319-56997-0

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