The project Symotiv’s (http://symotiv.de) goal is to describe the complex function of a symphony through an interactive experience of the orchestra’s digital twin. We are capturing the musicians, their instruments and their sounds with machine learning based 3D human pose estimation and visualize them in Virtual Reality in a three-dimensional, virtual concert hall. Our audience steps into the role of the conductor and experience the scene and the sound from a perspective within the orchestra. This opens the possibility of experiencing and understanding what is happening from new spatial, but above all sonic perspectives.

In this paper we are describing our preliminary studies and proto- types for evaluating a surfer’s performance on a stationary wave. We are briefly describing the sport’s environment and development and the current state-of- the-art of machine learning based single camera tracking approaches we have evaluated and applied. The main part of the paper deals with the first implemen- tation, the tracking and the results of the evaluation of the movements of two surfers. We are closing with our lessons learned and our next steps.

The aim of the project Symotiv (http://symotiv.de) is to introduce people to classical music through interaction with a virtual orchestra. With the help of Virtual Reality, it does not only enable to immerse oneself in a three-dimensional, virtual concert hall, but also to experience images and sound from the perspective of a musician. This opened the possibility of experiencing and understanding what is happening from new spatial, but above all sonic perspectives. Therefore, we developed a workflow to capture the motions and sound of 50 musicians and the conductor by using a camera-based Machine Learning approach.

Building on social identity theory, this study aims to quantify the drivers and consequences of positive and negative eWOM engagement on social networking sites used by two distinct groups of respondents in higher education. Several differences and a major influence of commitment on eWOM, self-brand connection and incongruity were identified.

Symposium der BMWK-Energieforschungsnetzwerke, Berlin

The design review process - as part of the building permit - is mandatory for numerous construction projects in Germany. The paper-based review process is currently state of the art due to the obligation of documentation by law with legally binding signatures, e.g. for the construction process.

The application of BIM in the construction industry is increasing. Though the process of model sharing is specified in EN ISO 19650-4, the integration of the design review process has not been examined using BIM yet. In the review process, it is necessary to check structural analysis and other documents, too. Hence, the process of design review using various documents shall be linked to the steps proposed in ISO 19650-4.

The authors recommend a BIM-based digitalized design review process based on ISO 19650-4. lt is shown how the template for the review process can be adjusted to legal requirements for digital proceedings and can be used for the complete life cycle of a building better than the paper-based documentation.

31. C.A.R.M.E.N. Symposium, Würzburg

Tue use of BIM-modeling (BIM) within the building life cycle depends on different (specialist) models as well as a detailed as-built-model. The legally compliant transfer of data and models is decisive for the vision of a consistent use of BIM. Past legal research has mainly dealt with the question of copy and IP rights in contracts. The new EU legal framework of data law is now a game changer as codified legal rules for data use are on their way. The paper will reflect these requirements and link them to the relevant ISO norms. The paper will show how legal governance of BIM-models can be designed by a consistent model rights management which is linked to the technical delivery of information and present guidelines for a legally compliant transfer of BIM-models and data, promoting the trustworthy sharing of data and models within the building life cycle.

In this work we are describing our preliminary experimental evaluation of open-source machine learning based pose estimation solutions for tracking a surfer’s skeleton on a stationary wave. We are briefly describing the sport’s environment and development and the current state-of-the-art of machine learning based single camera 2D and 3D pose estimation solutions. The main part of the paper deals with the experiment’s setup and the interpretation of the resulting data of the movements of one surfer. We are closing with our lessons learned and our next steps. 

We present ASR Bundestag, a dataset for automatic speech recognition in German, consisting of 610 hours of aligned audio-transcript pairs for supervised training as well as 1,038 hours of unlabeled audio snippets for self-
supervised learning, based on raw audio data and transcriptions from plenary sessions and committee meetings of the German parliament. In addition, we discuss utilized approaches for the automated creation of speech datasets and assess the quality of the resulting dataset based on evaluations and finetuning of a pre-trained state of the art model. We make the dataset publicly available, including all subsets.

Nacht der Wissenschaften, Hof, 23.06.2023

Nacht der Wissenschaften, Hof, 23.06.2023

Nacht der Wissenschaften, Hof, 23.06.2023

Das Thema Künstliche Intelligenz (KI) findet auch im Kulturmarketing immer mehr Anwendung und bietet dabei vielfältige Optimierungsmöglichkeiten. Welche Chancen und Herausforderungen damit für die operativen Aufgaben, Prozesse und notwendigen Kompetenzen im Kulturmarketing einhergehen, erklärt uns Andreas Wagener, Professor für E-Commerce und Social Media an der Hochschule Hof.