David Bethge

According to our database, David Bethge authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HappyRouting: Learning Emotion-Aware Route Trajectories for Scalable In-The-Wild Navigation.

David Bethge, Daniel Bulanda, Adam Kozlowski, Thomas Kosch, Albrecht Schmidt, Tobias Grosse-Puppendahl

CoRR, 2024

2023

Machine learning systems for human emotional states.

David Bethge

PhD thesis, 2023

TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning.

Philipp Hallgarten, David Bethge, Ozan Özdenizci, Tobias Grosse-Puppendahl, Enkelejda Kasneci

Proceedings of the 31st European Signal Processing Conference, 2023

Interpretable Time-Dependent Convolutional Emotion Recognition with Contextual Data Streams.

David Bethge, Constantin Patsch, Philipp Hallgarten, Thomas Kosch

Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Technical Design Space Analysis for Unobtrusive Driver Emotion Assessment Using Multi-Domain Context.

David Bethge, Luis Falconeri Coelho, Thomas Kosch, Satiyabooshan Murugaboopathy, Ulrich von Zadow, Albrecht Schmidt, Tobias Grosse-Puppendahl

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders.

David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Lewis L. Chuang, Ozan Özdenizci, Albrecht Schmidt

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Empathic Technologies Shaping Innovative Interaction: Future Directions of Affective Computing.

Esther Bosch, David Bethge, Marie Klosterkamp, Thomas Kosch

Proceedings of the NordiCHI '22: Adjunct Proceedings of the Nordic Human-Computer Interaction Conference, Aarhus, Denmark, October 8, 2022

Domain-Invariant Representation Learning from EEG with Private Encoders.

David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Ralf Mikut, Albrecht Schmidt, Ozan Özdenizci

Proceedings of the IEEE International Conference on Acoustics, 2022

Exploiting Multiple EEG Data Domains with Adversarial Learning.

David Bethge, Philipp Hallgarten, Ozan Özdenizci, Ralf Mikut, Albrecht Schmidt, Tobias Grosse-Puppendahl

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

SoundsRide: Affordance-Synchronized Music Mixing for In-Car Audio Augmented Reality.

Mohamed Kari, Tobias Grosse-Puppendahl, Alexander Jagaciak, David Bethge, Reinhard Schütte, Christian Holz

Proceedings of the UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology, 2021

VEmotion: Using Driving Context for Indirect Emotion Prediction in Real-Time.

David Bethge, Thomas Kosch, Tobias Grosse-Puppendahl, Lewis L. Chuang, Mohamed Kari, Alexander Jagaciak, Albrecht Schmidt

Proceedings of the UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology, 2021

TransforMR: Pose-Aware Object Substitution for Composing Alternate Mixed Realities.

Mohamed Kari, Tobias Grosse-Puppendahl, Luis Falconeri Coelho, Andreas Rene Fender, David Bethge, Reinhard Schütte, Christian Holz

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2021

HMInference: Inferring Multimodal HMI Interactions in Automotive Screens.

Jannik Wolf, Marco Wiedner, Mohamed Kari, David Bethge

Proceedings of the AutomotiveUI '21: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2021

2020

Analyzing Transferability of Happiness Detection via Gaze Tracking in Multimedia Applications.

David Bethge, Lewis L. Chuang, Tobias Grosse-Puppendahl

Proceedings of the ETRA '20 Adjunct: 2020 Symposium on Eye Tracking Research and Applications, 2020

2019

Prognostication of Neurological Recovery by Analyzing Structural Breaks in EEG Data.

David Bethge, Jieshi Chen, Oliver Grothe, Jonathan Elmer, Artur Dubrawski

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019