Publications by authors named "Robert Zwierzycki"
Article Synopsis
- Recent research has explored the use of graph neural networks (GNNs) in affective computing, focusing on emotion recognition.
- The paper introduces GraphSleepNet, specifically modified for classifying emotions and validated against the Circumplex model and the Ekman model.
- Findings highlight the influence of different data modalities on recognizing basic emotions and confirm the GNN's effectiveness through comparative accuracy analysis.
Data reusability is an important feature of current research, just in every field of science. Modern research in Affective Computing, often rely on datasets containing experiments-originated data such as biosignals, video clips, or images. Moreover, conducting experiments with a vast number of participants to build datasets for Affective Computing research is time-consuming and expensive.
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