CATSA: A Wrist Worn Wearable Dataset for Stress Analysis

The CATSA dataset is a publicly accessible multimodal dataset comprising wearable signals designed for stress and cognitive task analysis. It primarily captures physiological responses under baseline conditions and during induced cognitive tasks from a wearable device. The dataset is organized within a root folder named CATSA, which contains 50 subfolders, each corresponding to an individual participant and labeled as subXY, where XY represents an incrementing numerical identifier. Within each participant’s folder, there are four subdirectories named Baseline, Stroop, Logic, and Sudoku, corresponding to different experimental conditions. Each of these subdirectories contains five CSV files that store data recorded by the wrist-worn Empatica E4 device, including Blood Volume Pulse (BVP), Electrodermal Activity (EDA), Accelerometer data (ACC), Body Temperature (TEMP), and Heart Rate (HR).

CATSA数据集是一套公开可获取的多模态数据集，以可穿戴传感信号为核心数据源，专为压力分析与认知任务研究设计。该数据集主要采集受试者在基线状态下，以及在诱发式认知任务过程中的生理响应数据，采集载体为腕部可穿戴设备。数据集以名为CATSA的根文件夹进行组织，共包含50个子文件夹，每个子文件夹对应一名受试个体，命名格式为subXY，其中XY为递增的数字标识符。每个受试者文件夹下均设有四个子目录，分别为Baseline（基线）、Stroop（斯特鲁普任务）、Logic（逻辑推理任务）与Sudoku（数独任务），对应四种不同的实验条件。上述每个子目录均包含5个CSV格式文件，存储由腕部佩戴式Empatica E4设备采集的生理数据，具体包括血容量脉冲（Blood Volume Pulse，BVP）、皮肤电活动（Electrodermal Activity，EDA）、加速度计数据（Accelerometer data，ACC）、体温（Body Temperature，TEMP）以及心率（Heart Rate，HR）。