ROSbag-based Multimodal Affective Dataset for Emotional and Cognitive States

本数据集名为‘ROSbag-based Multimodal Affective Dataset for Emotional and Cognitive States’，由普渡大学SMART实验室创建。数据集包含1602个ROSbag文件，总容量约787GB，涵盖了30名参与者的生理和行为数据。通过使用国际情感图片系统（IAPS）和国际情感数字化声音（IADS）以及双N-back游戏，刺激并记录了参与者的情感和认知状态。数据集的创建过程涉及使用最新的商用可穿戴传感器和硬件设备，以及通过问卷进行的主观评估。该数据集主要应用于情感计算、人机交互（HCI）和人机交互（HRI）领域，旨在解决如何通过多模态数据准确识别和理解人类情感和认知状态的问题。

This dataset, named "ROSbag-based Multimodal Affective Dataset for Emotional and Cognitive States", was developed by the SMART Lab at Purdue University. It contains 1,602 ROSbag files with a total storage capacity of approximately 787 GB, covering physiological and behavioral data from 30 participants. The emotional and cognitive states of the participants were elicited and recorded using the International Affective Picture System (IAPS), International Affective Digitized Sounds (IADS), and the dual N-back task. The dataset development process involved the use of state-of-the-art commercial wearable sensors and hardware devices, as well as subjective evaluations administered via questionnaires. This dataset is primarily applied in the fields of affective computing, Human-Computer Interaction (HCI), and Human-Robot Interaction (HRI), aiming to address the challenge of accurately identifying and understanding human emotional and cognitive states via multimodal data.