BioVid

该数据集名为BioVid Heat Pain数据库，包含了87名健康个体的面部视频、心电图、肌电图和皮肤电导水平数据，这些数据被用于评估痛感评估系统。此外，该数据集还用于评估自动痛感评估框架的性能，实验中采用了多种分类方法和交叉验证。数据集规模包括8700个视频，每个类别1740个数据样本，总计每种模态有100个样本。其任务涵盖了二元和多级别的痛感分类。

The dataset named BioVid Heat Pain Database contains facial videos, electrocardiogram (ECG), electromyogram (EMG), and skin conductance level (SCL) data collected from 87 healthy individuals, which is utilized to evaluate pain assessment systems. Moreover, this dataset is also employed to assess the performance of automated pain assessment frameworks, where multiple classification methods and cross-validation techniques are adopted in the experiments. Regarding the dataset scale, it includes 8700 videos, with 1740 data samples per category, and a total of 100 samples for each modality. The tasks covered by this dataset include both binary and multi-level pain classification.

搜集汇总

背景与挑战

背景概述

BioVid Heat Pain Database是一个多模态疼痛评估数据库，包含90名参与者的热痛刺激实验数据，分为五个部分（A-E），涵盖面部视频、生物医学信号等。数据需签署协议获取，仅用于非商业研究。