Team Member: Fabio Genz

Email	genzfa _at_ nm.ifi.lmu.de

Phone	+49 89 2180-9156
Fax	+49 89 2180-999146

Address	Fabio Genz Ludwig-Maximilians-Universität München Institut für Informatik Oettingenstr. 67 D-80538 München Germany

Room	E 005

Student Work

Work Completed:

Büttgen, T., Systematic Review of Adaptive Virtual Reality Training, Bachelorarbeit, Ludwig-Maximilians-Universität München, Oktober, 2024.
Linne, O., Personalisierung von VR-Anwendungen auf Basis physiologischer Sensordaten, Diplomarbeit, Ludwig-Maximilians-Universität München, Mai, 2024.
Starck, J. M., Acquiring and processing physiological measurements for VR training applications, Bachelorarbeit, Ludwig-Maximilians-Universität München, Juli, 2022.
Leidreiter, D. A., Personalisierte Hilfestellung für Virtual Reality Training durch selbst adaptierende Umgebungsvariablen, Bachelorarbeit, Ludwig-Maximilians-Universität München, Juni, 2022.
Nieraad, V. G., Self-adaptive virtual reality training applications based on the measurement and analysis of motion sequences, Bachelorarbeit, Ludwig-Maximilians-Universität München, Juni, 2022.
Hufeld, C., On bundling physiological sensordata for near real-time analysis, Bachelorarbeit, Ludwig-Maximilians-Universität München, März, 2022.
Schoenberger, C., Echtzeitbasierte Datenreduktion einer Disparitätskarte durch die Verwendung von Kohonennetzen, Bachelorarbeit, Ludwig-Maximilians-Universität München, Januar, 2022.
Teofanescu, T., Training the Cognitive Perception of an Artificial Intelligence to Recognize Reflections on Surfaces, Bachelorarbeit, Ludwig-Maximilians-Universität München, Dezember, 2021.
Raschdorf, P., Computer-based Object Recognition and Calculation of their Physical Properties, Bachelorarbeit, Ludwig-Maximilians-Universität München, November, 2021.
Sentosa, W., Real Time Based Point Clouds Generation and Mapping Using Stereo Images, Bachelorarbeit, Ludwig-Maximilians-Universität München, November, 2021.
Maier, P., Comparison of auditory virtual humans and audiovisual virtual humans, Bachelorarbeit, Ludwig-Maximilians-Universität München, September, 2021.
Maiolo, S., Evaluation of the difference between monoscopic andstereoscopic digital testimonies regarding immersion and emotional reaction, Systementwicklungsprojekt, Ludwig-Maximilians-Universität München, Juli, 2021.
Fuchs, N., Comparison of virtual reality social platforms under the aspect of digital teaching, Bachelorarbeit, Ludwig-Maximilians-Universität München, April, 2021.

Publications

Genz, F., Dreer, F., Krötz, F., D`Amelio, M., Kranzlmüller, D., Measuring the Influence of Alcohol Consumption on Presence in Virtual Reality, In WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, 2024, 177-186, 32, Václav Skala - UNION Agency, Juni, 2024.
Genz, F., Kranzlmüller, D., Adapting Virtual Reality Training Applications by Dynamically Adjusting Visual Aspects, In WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, 2024, 217-226, 32, Václav Skala - UNION Agency, Juni, 2024.
Genz, F., Hufeld, C., Kranzlmüller, D., Processing Physiological Sensor Data in Near Real-Time as Social Signals for Their Use on Social Virtual Reality Platforms, In International Conference on Extended Reality, 2022, 44-62, 1, Springer Nature Switzerland, August, 2022.
Genz, F., Fuchs, N., Kolb, D., Müller, S., Kranzlmüller, D., Evaluation of Proprietary Social VR Platforms for Use in Distance Learning, In International Conference on Augmented Reality, Virtual Reality and Computer Graphics, 2021, 462–480, 8, Springer, September, 2021.
Genz, F., Hufeld, C., Müller, S., Kolb, D., Starck, J., Kranzlmüller, D., Replacing EEG Sensors by AI Based Emulation, In International Conference on Augmented Reality, Virtual Reality and Computer Graphics, 66–80, 8, Springer Nature Switzerland, September, 2021.

Funktionen

Team Member: Fabio Genz

Student Work

Publications