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Poster
in
Workshop: Workshop on Learning from Time Series for Health

EmoPairCompete - Physiological Signals Dataset for Emotion and Frustration Assessment under Team and Competitive Behaviors

Sneha Das · Nicklas Lund · Carlos González · Nicole Lønfeldt · Line Clemmensen

Keywords: [ in-the-wild ] [ physiological signals ] [ prosocial behavior ] [ emotion assessment ]


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.

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