PRESAGE

该数据集是一个大规模的多模态生理信号数据集，专为情绪分析而设计。该数据集来源于医学模拟场景中受训者的生理信号，旨在分析他们在不同情境下的情绪状态。数据涵盖了五种不同场景下收集的EDA（皮肤电活动）、BVP（血容积脉搏）和TEMP（体温）等生理信号。该数据集规模庞大，包含了201名受训者的数据，其任务是进行情绪识别。

This is a large-scale multimodal physiological signal dataset specifically developed for emotion analysis. It is collected from the physiological signals of trainees in medical simulation scenarios, aiming to analyze their emotional states across different contexts. The dataset covers physiological signals including EDA (Electrodermal Activity), BVP (Blood Volume Pulse), and TEMP (Body Temperature) acquired under five distinct scenarios. With a considerable scale, the dataset contains data from 201 trainees, and its core task is emotion recognition.