DECEiVeR - Dataset Acting Emotions Valence Arousal

The DECEiVeR dataset (DatasEt 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.

搜集汇总

背景与挑战

背景概述

DECEiVeR数据集是一个精心策划的专业戏剧演员生理记录集合，包含11名演员的五种情绪（中性、平静、疲劳、紧张、兴奋）的原始、低层和中层时域与频谱数据，旨在支持情感识别和情感计算研究。该数据集提供了全面的生物信号分析资源，有助于探索内部刺激引发的情感表达。