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  4. A cognitive user interface for a multi-modal human-machine interaction
 
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2018
Conference Paper
Title

A cognitive user interface for a multi-modal human-machine interaction

Abstract
We developed a hardware-based cognitive user interface to help inexperienced and little technology-affine people to get easy access to smart home devices. The interface is able to interact (via speech, gestures, or touchscreen) with the user. By learning from the user's behavior, it can adapt to each individual. In contrast to most commercial products, our solution keeps all data required for operation internally and is connected to other UCUI devices only via an encrypted wireless network. By design, no data ever leave the system to file servers of third-party service providers. In this way, we ensure the privacy protection of the user.
Author(s)
Tschöpe, Constanze  
Fraunhofer-Institut für Keramische Technologien und Systeme IKTS  
Duckhorn, Frank  orcid-logo
Fraunhofer-Institut für Keramische Technologien und Systeme IKTS  
Huber, Markus
InnoTec21 GmbH, Leipzig / Brandenburgische Technische Universität Cottbus-Senftenberg
Meyer, Werner
Brandenburgische Technische Universität Cottbus-Senftenberg
Wolff, Matthias
Brandenburgische Technische Universität Cottbus-Senftenberg
Mainwork
Speech and computer. 20th International Conference, SPECOM 2018  
Conference
International Conference on Speech and Computer (SpeCom) 2018  
DOI
10.1007/978-3-319-99579-3_72
Language
English
Fraunhofer-Institut für Keramische Technologien und Systeme IKTS  
Keyword(s)
  • cognitive user interface

  • human-computer interaction

  • human-machine interaction

  • speech recognition

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