Now showing 1 - 4 of 4
  • Publication
    Human-Machine Interactions for on the Fly Free Text Input Processing
    ( 2021) ;
    Hoffmann, Almuth
    Information in machine-readable form has to be entered by users of information systems in various situations. In the input process, forms with a number of individual fields are commonly used. For the creator, this input can be cumbersome and potentially counterintuitive. For this reason, free text components are becoming increasingly important. Information in the form of free text is not machine-readable as such, and extracting information is complex. The accuracy of existing approaches used to extract information from free text components depends directly on the quality of the used internal model. These models have to be created by experts or trained in advance using the appropriate machine learning methods. The main objective presented in this paper is extracting information as well as enhancing the underlying model on the fly. This implies that the information extraction algorithms apply directly to the user's input and that the user is enabled to correct possible deficiencies in the model as they arise.
  • Publication
    Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory 2017. Proceedings
    (KIT Scientific Publishing, 2018) ;
    Pak, Alexey
    ;
    Taphanel, Miro
    This book summarizes presentations delivered at the 2017 annual joint workshop of the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB) and the Vision and Fusion Laboratory (IES) of the Institute for Anthropomatics, Karlsruhe Institute of Technology (KIT). At this meeting, doctoral students from both institutions reported on the status of their research and discussed topics ranging from computer vision to network security and machine learning.
  • Publication
    A multi-device assistive system for industrial maintenance operations
    ( 2018)
    Heinz, Mario
    ;
    Dhiman, Hitesh
    ;
    Recent advances in the field of industrial digitization and automation lead to an increasing need for assistance systems to support workers in various fields of activity, such as assembly, logistics and maintenance. Current assistance systems for the maintenance area are usually based on a single visualization technology. However, in our view, this is not practicable in terms of real activities, as these operations involve various subtasks for which different interaction concepts would be advantageous. Therefore, in this paper, we propose a concept for a multi-device assistive system, which combines multiple devices to provide workers with relevant information over different subtasks of a maintenance operation and present our first prototype for such a system.
  • Publication
    Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory 2016. Proceedings
    (KIT Scientific Publishing, 2017) ;
    Pak, Alexey
    This book is a collection of proceedings of the talks given at the 2016 annual joint workshop of Fraunhofer IOSB and the Vision and Fusion Laboratory (IES) by the doctoral students of both institutions. The topics of individual contributions range from computer vision, optical metrology, and machine learning to data fusion and human-machine interaction.