Skip to content. | Skip to navigation

Informatik 5
Information Systems
Prof. Dr. M. Jarke
Personal tools
You are here: Home Staff Dipl.-Medieninf. István Koren

Dipl.-Medieninf. István Koren - Theses

An Interactive Mixed Reality Visualization Framework for Immersive Analytics - Running
Visualizations help humans in understanding complex data. A visual representation gives an overview of the data set so that it becomes possible to interpret it, e.g. to see patterns or correlations. With the rise of mixed reality technologies, various possibilities appeared in the field of Immersive Analytics. Instead of reducing the displayed content to a two-dimensional representation on a paper or screen, it is now possible to created three-dimensional visualizations. This enables the analyst to dive into the visual representation of the data and to freely explore it from different perspectives in a highly interactive manner.
Machine Vision im Umfeld der Mensch-Roboter-Kollaboration auf Basis der Microsoft Kinect - Finished
Completed by Justin Krause in 2018; Supervised by PD Dr. Ralf Klamma, AOR, Thomas Gries; Advisor(s): Marius Wiche, Florian Brillowski, Dipl.-Medieninf. István Koren
Das Ziel der Bachelorarbeit ist es, die Erkennung von Menschen im Nahfeld Roboter in einem industriellen Umfeld zu realisieren. Hierbei wird eine kostengünstige und weit verbreitete 3D-Kamera mit einer offenen Schnittstelle verwendet, die Microsoft Kinect V2. Sie stellt die nötigen Tiefeninformationen in Form einer Punktwolke zur Verfügung. Ein KUKA Greifarmroboter am ITA-Preformcenter wird dabei während der Entwicklung verwendet. Die Kommunikation zwischen der Kinect und der Bilderfassung soll dabei über MQTT, einem zeitgemäßen IoT Protokoll in industriellen Umgebungen, erfolgen. Durch eine umfassende Evaluation wird ausgewertet, wie zuverlässig die Erkennung funktioniert.
Infrastructuring for Crowdsourced Co-Design - Finished
Completed by Delcy Carolina Bonilla Oliva in 2018; Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke; Advisor(s): Dipl.-Medieninf. István Koren
Augmented Reality Human Performance and Workplace Modelling using Sensor Fusion Data - Finished
Completed by Rizwan Ali in 2018; Supervised by PD Dr. Ralf Klamma, AOR, Roland Klemke; Advisor(s): Dipl.-Medieninf. István Koren
An immersive Augmented Reality (AR training development framework needs support for combinations of a wide range of appropriate devices for different use cases. In a surgery training situation this can be an AR headset and a handtracking device capturing exact movements in order to evaluate the accuracy. Therefore, it is necessary to get information from different sensors and interpret them in a common sensor fusion framework, in order to record the actions. The goal of the thesis is twofold. First, the framework will be extended. New sensor hardware, which can be used to improve the training experience of apprentices, will be implemented, tested and evaluated against the given requirements. The implementation is based on the Unity SDK in combination with Microsoft HoloLens and other AR relevant devices. Second, we are interested in visual learning analytics of the gathered data. Therefore, means for storing learner traces both locally and externally will be evaluated with the intention to use the stored data for long-term analytics. Contributions will be specified and implemented with the help of the upcoming IEEE standard on Augmented Reality Learning Experience Models (ARLEM). As a Bachelor thesis, the scope can be adjusted.
A Gamification Framework for Mixed Reality Training - Finished
Completed by Benedikt Hensen in 2017; Supervised by PD Dr. Ralf Klamma, AOR, Dr. Andreas Herrler; Advisor(s): Dipl.-Medieninf. István Koren
In this thesis a framework will be developed which enables a gamified approach to training and learning in a mixed reality environment. The framework targets the Microsoft HoloLens and uses the Unity 3D Engine. It will support the 3D models of the Anatomy 2.0 web-application. Moreover, the framework can be customized by adding additional models in X3D-format. Furthermore, this work will explore the current gamification approaches and how they can be employed in mixed reality. Those methods and features will be elaborated in a medical use-case. It will provide a learning environment which can visualize and gamify the study of the human anatomy.
Gamifying User Engagement in Software Development - Finished
Completed by Manuel Gottschlich in 2017; Supervised by Prof. Dr. Matthias Jarke, PD Dr. Ralf Klamma, AOR; Advisor(s): Dipl.-Medieninf. István Koren
WebTorrent-based Video Streaming on the Web - Finished
Completed by Bartels, Philipp in 2016; Supervised by Prof. Dr. Matthias Jarke, PD Dr. Ralf Klamma, AOR; Advisor(s): Dipl.-Medieninf. István Koren
Touchless Public Display Authentication - Finished
Completed by Ramani, Ankit in 2015; Supervised by Prof. Dr. Matthias Jarke, PD Dr. Ralf Klamma, AOR; Advisor(s): Dipl.-Medieninf. István Koren
Authenticating at a public display without entering any user credentials.