BROOK数据集

BROOK数据集是由宁波诺丁汉大学用户中心计算组创建的多模态数据集，专注于数据驱动的人车交互设计。该数据集包含34名驾驶员的面部视频记录，涵盖了手动和全自动驾驶模式下的多种数据流，如车辆速度、加速度、心率等。创建过程中，通过一年的研究收集数据，并详细描述了数据集的组织和构建方法。BROOK数据集旨在为研究提供一个公共可用的大规模数据集，以支持多样化的探索和设计比较，特别是在自动驾驶车辆的背景下，解决驾驶员状态监测和个性化交互的问题。

The BROOK dataset is a multimodal dataset created by the Computing Group of the User Center at the University of Nottingham Ningbo China, focusing on data-driven human-vehicle interaction design. This dataset contains facial video recordings of 34 drivers, covering multiple data streams under both manual and fully autonomous driving modes, such as vehicle speed, acceleration, heart rate and the like. Data was collected over a one-year research period, and the organization and construction methods of the dataset are described in detail. The BROOK dataset aims to provide a publicly available large-scale dataset for research, supporting diverse explorations and design comparisons, especially in the context of autonomous vehicles, to address issues related to driver state monitoring and personalized interaction.