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Titlebook: Sensor-Actuator Supported Implicit Interaction in Driver Assistance Systems; Andreas Riener Book 2010 Vieweg+Teubner Verlag | Springer Fac

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Hypotheses and Research Questionsmell and taste) provide only marginal contributions to Driver-Vehicle Interaction. Of the remaining three, the modalities . and . are highly stressed in today‘s human-machine interfaces – the utilization of the sense of . is relatively uncommon and originally emerged from communication systems for t
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The Driver as the Weak Point in Interaction[269], approximately 70 – 90% of all accidents are the fault of the driver to a certain degree. Apart from factors like motor and cognitive abilities, fatigue, attitude, or alcohol use [270], the interaction between a driver and the vehicle itself has increasingly become the weak point of safety. Th
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Advanced Driver Assistance Systems (ADAS) with an overview of the state of the art and emerging Advanced Driver Assistance Systems. Other research prospects, such as context-aware services [312] or the utilization of the two sensory modalities . and . are left unaccounted in this work.
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Analytical Methodsmachine learning software), HTK (Hidden Markov Model toolkit), RapidMiner (formerly known as YALE – Yet Another Learning Environment), the Unscrambler (software package for multivariate analysis and experimental design), LIBSVM (Library for Support Vector Machines), and GHMM (General Hidden Markov M
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Experimentse prototypes and software components (a detailed technical description of the hardware systems used for pressure sensing and delivery of vibro-tactile stimulation can be found in Appendix A: “Hardware for Processing Pressure and Vibration” on p. 199).
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