VitaStress

VitaStress数据集是一个新型的多模态数据集，旨在为可穿戴式情感计算研究服务，特别是自动压力识别系统的开发。该数据集在受控的实验室环境中收集了生理和运动信号，包括皮肤电活动、光电容积描记图、三轴加速度计等。实验过程中，我们区分了四种情感/活动状态：中性、身体、认知压力和社会评价压力。这些不同的阶段都被精心标记，以便进行详细的分析和重建每个实验。此外，还收集了每个压力源后的心理自我评估，以评估受试者的情感状态。该数据集的创建过程遵循了TRRRACED框架，旨在标准化压力实验和数据收集。数据集包含处理后的生命体征和运动数据，如心率、两次连续心跳之间的间隔、温度、呼吸、皮肤电导，以及光电容积描记图、皮肤电导和三轴加速度计的原始数据。除了中性基线记录外，受试者还引发了三种类型的适度压力：身体、认知和社会评价压力。该数据集在自动压力识别领域具有重要价值，有助于促进标准化协议的实施，提高数据集之间的可比性，并推动压力识别结果的验证和整合。

The VitaStress dataset is a novel multimodal dataset designed to support wearable affective computing research, particularly the development of automated stress recognition systems. It collects physiological and motion signals in a controlled laboratory environment, including electrodermal activity, photoplethysmography, triaxial accelerometers and other related signals. During the experiment, four affective/activity states were distinguished: neutral, physical stress, cognitive stress and social evaluative stress. Each of these stages was meticulously labeled to enable detailed analysis and reconstruction of each individual experiment. Additionally, psychological self-assessments were collected after each stressor to evaluate the participants' affective states. The creation of this dataset follows the TRRRACED framework, aiming to standardize stress experiments and data collection procedures. The dataset includes processed vital signs and motion data, such as heart rate, inter-beat interval, body temperature, respiration, skin conductance, as well as raw data from photoplethysmography, skin conductance and triaxial accelerometers. Apart from neutral baseline recordings, participants were induced with three types of moderate stress: physical, cognitive and social evaluative stress. This dataset holds significant value in the field of automated stress recognition, as it helps promote the implementation of standardized protocols, improve the comparability across datasets, and advance the validation and integration of stress recognition outcomes.