The DECEiVeR dataset (DatasetEt aCting Emotions Valence aRousal) is a meticulously curated collection of physiological recordings from 11 professional theatre actors. The DECEiVeR dataset facilitates the recognition of a specific set of five emotions: neutral, calm, tiredness, tension, and excitement. The dataset encompasses raw, low- and mid-level temporal and spectral data, enabling a comprehensive analysis of acting emotions.
A preliminary analysis has already been conducted on modeling the recognition of acting emotions, utilizing the rich biosignal data available in the DECEiVeR dataset. The focus of this analysis was to explore the reliability of physiological data over time, shedding light on the consistency and temporal persistence of the recorded measurements. By delving into the DECEiVeR dataset, researchers can gain valuable insights into recognizing acting emotions and delve deeper into affective computing. It provides a unique opportunity to assess how biosignals capture emotions elicited from internal stimuli, enriching our knowledge of the emotional expression and paving the way for further advancements in the field. With its comprehensive and curated nature, the DECEiVeR dataset is a valuable resource for researchers exploring emotion recognition and its intersection with affective computing.