kopetri/AutoTherm

该数据集包含多个配置，每个配置都包含与个人基本信息、生理指标、环境数据以及情感和活动状态相关的特征。数据集可能用于研究人体生理状态监测、环境对人体影响等领域。

The dataset includes multiple configurations such as combined, default, indoor, indoor_frames, vehicle, and vehicle_frames. Each configuration contains specific features like demographic data (Age, Gender, Weight, Height), physiological measurements (Bodyfat, Bodytemp, Heart_Rate), environmental conditions (Ambient_Temperature, Ambient_Humidity), and emotional states (Emotion-Self, Emotion-ML). The dataset also includes images and binary data for some configurations. The dataset is divided into training and test sets with specified sizes and number of examples.

搜集汇总

背景与挑战

背景概述

AutoTherm是一个用于室内和车辆环境热舒适度估计的多模态数据集，包含超过1500万行数据，记录了人体参数、环境参数和热舒适度标签等信息。该数据集已划分为训练集和测试集，可用于热舒适度预测模型的开发和评估。