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Found 5 papers, 3 papers with code
HappyRouting: Learning Emotion-Aware Route Trajectories for Scalable In-The-Wild Navigation
Although happy routes take 1. 25 times longer on average, participants perceived the happy route as shorter, presenting an emotion-enhanced alternative to today's fastest routing mechanisms.
TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning
Limited availability of labeled physiological data often prohibits the use of powerful supervised deep learning models in the biomedical machine intelligence domain.
EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders
There is a growing need for sparse representational formats of human affective states that can be utilized in scenarios with limited computational memory resources.
Exploiting Multiple EEG Data Domains with Adversarial Learning
Electroencephalography (EEG) is shown to be a valuable data source for evaluating subjects' mental states.
Domain-Invariant Representation Learning from EEG with Private Encoders
Deep learning based electroencephalography (EEG) signal processing methods are known to suffer from poor test-time generalization due to the changes in data distribution.
