heartbeat

prouastGPL-3.0更新放缓

用普通摄像头拍摄人脸视频就能测心率，基于远程光电容积描记（rPPG）技术的桌面端实现，适合做非接触式生理监测。

Desktop implementation of Remote Photoplethysmography – Measuring heart rate using facial video.

暂无版本627star146fork同步于 2026-11-07 07:33 UTC

心率检测远程光电容积描记 rPPG 非接触监测人脸视频

对比 GitHub 官网 face heart-rate heart-rate-measurement heart-rate-monitor pulse

怎么上手

由 README 提炼，执行前请确认

原文

make

硬件要求按 README 说明

README 未说明具体 CPU/GPU 或显存要求；需系统安装 OpenCV，且头文件与库需位于编译器标准搜索路径。

下载：源码 zip·GitHub Releases（安装包）本站不镜像安装包

项目说明

由 README 自动翻译提炼

没人工点评？写下你的经验

用面部视频做非接触式心率测量的 C++ 桌面实现，基于 rPPG 分析肤色细微变化

用普通摄像头拍摄人脸视频就能测心率，基于远程光电容积描记（rPPG）技术的桌面端实现，适合做非接触式生理监测。

核心能力

检测并逐帧跟踪人脸，提取每帧面部颜色构成信号序列
用频率分析与滤波从信号序列估计心率
支持绿通道与 RGB+PCA 两种 rPPG 算法变体
可选 Haar 级联或深度神经网络人脸检测器
支持摄像头实时输入或读取视频文件并降采样

容易踩的坑

必须先自行安装 OpenCV 并确保编译器能找到其头文件和库；Makefile 仅适用于 macOS，Ubuntu 需用 README 给出的 g++ 命令手动编译（对应 opencv 3.1）；不传 -i 参数时默认调用摄像头。

内容由模型根据 README 生成，可能不完整或不准确，以官方文档为准。看原文 README

用户点评

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README 原文

未翻译

在 GitHub 打开

Heartbeat: Measuring heart rate using remote photoplethysmography (rPPG)

Looking for more powerful and up-to-date rPPG tools?
Check out our latest libraries and apps!

📌 Tool	🚀 Features	⚡ Methods	🔗 Get Started
Python Library	File analysis (HR, RR, HRV)	G, POS, CHROM, VitalLens API	GitHub
JavaScript Library	Webcam or file analysis (HR, RR, HRV)	G, POS, CHROM, VitalLens API	GitHub
iOS SDK	Webcam or file analysis (HR, RR, HRV)	VitalLens API	GitHub
iOS App	Webcam processing (HR, RR)	VitalLens	App Store
Rouast Labs	More about our research & tech	VitalLens	Website

This is a simple implementation of rPPG, a way to measure heart rate without skin contact. It uses a video recording or live feed of the face to analyse subtle changes in skin color.

Here's how it works:

The face is detected and continuously tracked
Signal series is obtained by determining the facial color in every frame
Heart rate is estimated using frequency analysis and filtering of the series

If you are interested in the specifics, feel free to have a read of my publications on the topic:

See also my minimal JavaScript implementation and Browser Demo.

Demo

Dependencies

The following libraries are required to run Heartbeat:

OpenCV

They must be installed on the system such that headers and libraries are found on the compiler's standard search path.

Installation

For building a Makefile is available that works on macOS:

$ make

Alternative compilation for Ubuntu. Works with opencv 3.1:

$ g++ -std=c++11 Heartbeat.cpp opencv.cpp RPPG.cpp `pkg-config --cflags --libs opencv` -o Heartbeat

Settings

After building, the app can be run via

$ ./Heartbeat

Several command line arguments are available:

Argument	Options	Description
-i	Filepath to input video	Omit flag to use webcam
-rppg	g, pca (default: g)	Specify rPPG algorithm variant - only green channel or rgb channels with pca
-facedet	haar, deep (default: haar)	Specify face detection classifier - Haar cascade or deep neural network
-r	Re-detection interval (default: 1 s)	Interval for face re-detection; tracking is used frame-to-frame
-f	Sampling frequency (default: 1 Hz)	Frequency for heart rate estimation
-max	default: 5	Maximum size of signal sliding window
-min	default: 5	Minimum size of signal sliding window
-gui	true, false (default: true)	Display the GUI
-log	true, false (default: false)	Detailed logging
-ds	default: 1	If using video from file: Downsample by using every ith frame

License

GPL-3.0