J
Jurgen Sieck
Researcher at HTW Berlin - University of Applied Sciences
Publications - 39
Citations - 184
Jurgen Sieck is an academic researcher from HTW Berlin - University of Applied Sciences. The author has contributed to research in topics: Mobile device & Augmented reality. The author has an hindex of 6, co-authored 37 publications receiving 168 citations. Previous affiliations of Jurgen Sieck include National University of Sciences and Technology & Humboldt University of Berlin.
Papers
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Proceedings ArticleDOI
Location-Based Services with iBeacon Technology
Markus Kouhne,Jurgen Sieck +1 more
TL;DR: This paper demonstrates the luggage tracking use case and evaluates its possibilities and restrictions, as well as, how to use Location-based Services to track items.
Book ChapterDOI
Using the Magnetic Field for Indoor Localisation on a Mobile Phone
Andreas Bilke,Jurgen Sieck +1 more
TL;DR: This chapter presents a locating system which is based on recognising geomagnetic field disturbances and ambient light, and a particle filter is applied to the locating problem.
Book ChapterDOI
Gesture Recognition-Based Human–Computer Interaction Interface for Multimedia Applications
TL;DR: This work uses the Viola–Jones cascade detector and a semantic-probabilistic method to recognise hand gestures that provide a simple and user-friendly way for the user to interact with the application.
Proceedings ArticleDOI
Supervision and Regulation of Home Automation Systems with Smartphones
TL;DR: The design and implementation of an iPhone application is presented that allows the retrofitting of mobile devices into an existing KNX home automation system without the need of specific hardware or skilled technicians.
Proceedings ArticleDOI
A distributed middleware for applications of the Internet of Things
TL;DR: A middleware application is introduced that decouples event detection, its forwarding to designated receivers, and action triggering at a consumer allowing multi-purpose usage for different applications in heterogeneous architectures e.g. identifying objects in the term Internet of Things.