3 citations · 4 across the 3 of their papers we have counts for
3 papers
Explainable OOHRI: Communicating Robot Capabilities and Limitations as Augmented Reality Affordances
Lauren W. Wang, Mohamed Kari, Parastoo Abtahi
Human interaction is essential for issuing personalized instructions and assisting robots when failure is likely. However, robots remain largely black boxes, offering users little…
EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders
David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl +4
There is a growing need for sparse representational formats of human affective states that can be utilized in scenarios with limited computational memory resources. We explore whet…
Domain-Invariant Representation Learning from EEG with Private Encoders
David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl +4
Deep learning based electroencephalography (EEG) signal processing methods are known to suffer from poor test-time generalization due to the changes in data distribution. This beco…