Abstract
We introduce a new dataset for emotion and stress (frustration) detection from physiological signals. Physiological signals are relevant in health applications like stress detection and monitoring or in mental health where emotion regulation often is of importance. The dataset contributes with the possibilities for disentangling a detailed emotional space (10 emotions) in relation to physiological signals, study dyads of prosocial behaviours vs teams of aggressive behaviours, and investigate continual learning or replication uncertainties.
Original language | English |
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Title of host publication | Proceedings of the ICLR 2024 Workshop on Learning from Time Series For Health (TS4H) |
Number of pages | 10 |
Publication date | 2024 |
Publication status | Published - 2024 |
Event | ICLR 2024 Workshop on Learning from Time Series For Health - Vienna, Austria Duration: 11 May 2024 → 11 May 2024 |
Workshop
Workshop | ICLR 2024 Workshop on Learning from Time Series For Health |
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Country/Territory | Austria |
City | Vienna |
Period | 11/05/2024 → 11/05/2024 |