Open rPPG Datasets

该数据集汇总了超过20个开源数据集，旨在全面评估远程光电容积描记法（rPPG）算法。这些数据集考虑了不同类型的噪声和肤色偏差，其特性包括分析标签与视频的同步性，同时解决了肤色偏差问题，以便对rPPG算法进行综合评估和分析。该任务专注于远程光电容积描记法算法的评估与分析。

This dataset compiles over 20 open-source datasets, aiming to comprehensively evaluate remote photoplethysmography (rPPG) algorithms. These datasets account for various noise types and skin tone biases, with key design features including synchronization analysis between ground-truth labels and videos, while mitigating skin tone bias to support comprehensive evaluation and analysis of rPPG algorithms. This task focuses on the evaluation and analysis of remote photoplethysmography algorithms.

搜集汇总

背景与挑战

背景概述

Open rPPG Datasets是一个用于远程光电容积图(rPPG)和非侵入性血压测量(CNIBP)研究的开源数据集集合，包含多个子数据集，覆盖不同年份、受试者数量和数据类型。该数据集旨在为rPPG和CNIBP技术的DNN模型提供公平的评估基准。