Ulm-TSST (Ulm-Trier Social Stress Dataset)

对于缪斯压力，使用ulm-tsst数据库，提供了一个多模式的自我报告的注释丰富的数据集，以及情绪和心理健康的外部维度评级。经过短暂的准备后，要求受试者在工作面试环境中进行口头陈述。Ulm-tsst包括生物记录，例如心电图 (ECG)，皮肤电活动 (EDA)，呼吸和心率 (BPM) 以及持续的唤醒和效价注释。105名参与者 (69.5% 名女性) 年龄在18至39岁之间，总共累积了10个小时。

The Ulm-TSST database, employed for Muse stress-related studies, offers a multi-modal, annotation-rich dataset derived from self-reports, along with external dimensional ratings for emotion and mental health. Following a short preparation period, participants were asked to deliver a verbal presentation in a simulated job interview setting. The Ulm-TSST database includes biometric recordings such as electrocardiogram (ECG), electrodermal activity (EDA), respiratory and heart rate (BPM), as well as continuous arousal and valence annotations. A total of 105 participants (69.5% female) aged between 18 and 39 years contributed to a cumulative 10 hours of recorded data.

搜集汇总

背景与挑战

背景概述

Ulm-TSST是一个多模式压力研究数据集，专注于社会压力情境下的生物信号记录，包括心电图、皮肤电活动、呼吸和心率等数据，并附带自我报告和外部评级注释。数据集包含105名参与者的10小时累积数据，由多所大学联合发布，适用于情绪和心理健康研究。