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).

搜集汇总

背景与挑战

背景概述

CATSA是一个公开的多模态可穿戴设备数据集，主要用于压力和认知任务分析。数据集包含来自50名参与者的生理信号数据，如血容量脉冲（BVP）、皮肤电活动（EDA）、加速度计数据（ACC）、体温（TEMP）和心率（HR），数据按实验条件（基线、Stroop、逻辑、数独）分类存储。