Andreas Riener

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Opportunistic sensing allows to efficiently collect information about the physical world and the persons behaving in it. This may mainstream human context and activity recognition in wearable and pervasive computing by removing requirements for a specific deployed infrastructure. In this paper we introduce the newly started European research project(More)
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(More)
Vibro-tactile stimulation has been revealed as a potentially effective means to deliver spontaneous notifications like alerts to recipients that are focused on other tasks (although only at very low bit rates, and depending on the place at which the tactors are placed). This work addresses the issue of the amount of information that can be perceived via(More)
Purpose – Conventional street lighting systems in areas with a low frequency of passersby are online most of the night without purpose. The consequence is that a large amount of power is wasted meaninglessly. With the broad availability of flexible-lighting technology like light-emitting diode lamps and everywhere available wireless internet connection,(More)
Nicht nur in klassischen Computersystemen, auch in der Automobildomäne hat der technologische Fortschritt Einzug gefunden und die Entwicklung verschiedenartigster Fahrerassistenz und -informationssysteme vorangetrieben. Die Integration derselben in immer größerer Zahl resultiert in zunehmender Interaktionskomplexität, und führt in weiterer Folge zu einer(More)
Publicly available data sets are increasingly becoming an important research tool in context recognition. However, due to the diversity and complexity of the domain it is difficult to provide standard recordings that cover the majority of possible applications and research questions. In this paper we describe a novel data set hat combines a number of(More)
Embedded systems technologies and advances in micro electronics have accelerated the evolution of driver assistance systems towards more driving safety, comfort, entertainment and wayfinding. With the technological and quality progress, however, also goes the growing of interaction complexity, information overload, and intricate interface designs. Assessing(More)
We introduce the newly started EU project OPPORTUNITY where we develop opportunistic activity and context recognition systems in ambient intelligence (AmI) environments. They are mobile systems that recognize context from opportunistically discovered sensors. They encompass principles supporting their autonomous operation in open-ended environments, such as(More)
Drivers’ operating a car today are increasingly challenged and/or distracted by the multiplicity of information in and around the vehicle. As a possible solution, we introduce the approach of intuitive driver-vehicle operation based on natural (hand) gestures. The goal of this promising type of interface is, to allow drivers to interact with the vehicle in(More)