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This paper introduces an approach for the (semi)automatic generation of worldwide available, detailed tactile maps including buildings and blind-specific features based on recognized illustrators’ guidelines and standards. These guidelines for tactile maps are investigated in order to define a formal rule set and to automatically filter map data accordingly. Using the rule set, our approach automatically abstracts map data in order to generate a 2.1D tactile model providing multiple height levels (layers) which can be printed by usual consumer 3D printers. Based on the popular OpenStreetMap map data, our automated approach allows to generate arbitrary detail maps blind persons individually interested in, without the need for manual adaption of the tactile map. Thus, this approach contributes to the goal to increase the autonomy of blind persons.
Touch input on modern smartphones can be tedious, especially if the touchscreen is small. Smartphones with integrated projectors can be used to overcome this limitation by projecting the screen contents onto a surface, allowing the user to interact with the projection by means of simple hand gestures. In this work, we propose a novel approach for projector smartphones that allows the user to remotely interact with the smartphone screen via its projection. We detect user's interaction using the built-in camera, and forward detected hand gestures as touch input events to the operating system. In order to avoid costly computations, we additionally use built-in motion sensors. We verify the proposed method using an implementation for the consumer smartphone Samsung
Galaxy Beam equipped with a deflection mirror.
This paper examines different approaches for the identification of users by their personal behavior and discusses techniques which could be used in the context of websites. Such web tracking approaches have the potential to identify users even if they use multiple or shared devices. For web pages mouse and touch input are widely used. Therefore, we propose a survey to evaluate the feasibility to identify users by their interaction behavior.