32 citations · 89 across the 7 of their papers we have counts for
7 papers
Collaborative System Design of Mixed Reality Communication for Medical Training
Manuel Rebol, Krzysztof Pietroszek, Claudia Ranniger +4
We present the design of a mixed reality (MR) telehealth training system that aims to close the gap between in-person and distance training and re-training for medical procedures.…
CPR Emergency Assistance Through Mixed Reality Communication
Manuel Rebol, Alexander Steinmaurer, Florian Gamillscheg +6
We design and evaluate a mixed reality real-time communication system for remote assistance during CPR emergencies. Our system allows an expert to guide a first responder, remotely…
Mixed Reality Communication for Medical Procedures: Teaching the Placement of a Central Venous Catheter
Manuel Rebol, Krzysztof Pietroszek, Claudia Ranniger +5
Medical procedures are an essential part of healthcare delivery, and the acquisition of procedural skills is a critical component of medical education. Unfortunately, procedural sk…
Remote Assistance with Mixed Reality for Procedural Tasks
Manuel Rebol, Colton Hood, Claudia Ranniger +5
We present a volumetric communication system that is designed for remote assistance of procedural tasks. The system allows a remote expert to visually guide a local operator. The t…
Real-time Gesture Animation Generation from Speech for Virtual Human Interaction
Manuel Rebol, Christian Gütl, Krzysztof Pietroszek
We propose a real-time system for synthesizing gestures directly from speech. Our data-driven approach is based on Generative Adversarial Neural Networks to model the speech-gestur…
Passing a Non-verbal Turing Test: Evaluating Gesture Animations Generated from Speech
Manuel Rebol, Christian Gütl, Krzysztof Pietroszek
People communicate using both speech and non-verbal signals such as gestures, face expression or body pose. Non-verbal signals impact the meaning of the spoken utterance in an abun…
Discovering Knowledge from Multi-modal Lecture Recordings
Rajkumar Kannan, Christian Guetl
Educational media mining is the process of converting raw media data from educational systems to useful information that can be used to design learning systems, answer research que…