ruview-mmwave

Name: ruview-mmwave
Availability: InStock
Author: ivanblancoinusual-2106

Integrate mmWave radar sensors with WiFi CSI for contactless vitals detection.

Updated Jun 10, 2026

Search Tags:#ESP32 #sensor fusion #presence detection #mmWave radar #health vitals

Ready to run

npx skills add https://github.com/Ivanblancoinusual-2106/ruview-3D --skill ruview-mmwave

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ruview-mmwave
Source: https://github.com/Ivanblancoinusual-2106/ruview-3D/tree/main/RuView-main/plugins/ruview/skills/ruview-mmwave
Command: npx skills add https://github.com/Ivanblancoinusual-2106/ruview-3D --skill ruview-mmwave

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires esp32-firmware, mmwave_fusion_bridge.py, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill integrates mmWave radar sensing capabilities into the RuView platform, enabling advanced health vitals and presence detection without the need for line-of-sight or wearable devices.

Core Features & Use Cases

mmWave Radar Integration: Supports ESP32-C6 with Seeed MR60BHA2 (60 GHz) and HLK-LD2410 (24 GHz) for heart rate, breathing rate, presence, and distance sensing.
Sensor Fusion: Combines mmWave radar data with WiFi CSI for enhanced accuracy and reliability.
Use Case: Ideal for applications requiring contactless health monitoring and presence detection, such as in healthcare or smart home environments.

Quick Start

Set up the mmWave radar sensors and run the skill to start collecting fused vitals data.

Frequently Asked Questions about ruview-mmwave

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I integrate mmWave radar with WiFi CSI for contactless health vitals detection?▼

Sensor fusion for presence detection combines mmWave radar data with WiFi CSI to enhance accuracy and reliability. This integration allows the system to deliver more precise contactless health vitals and distance sensing than using radar alone.

Does ESP32-C6 support mmWave radar sensors for heart rate and breathing monitoring?▼

Yes, ESP32-C6 supports mmWave radar sensors for heart rate and breathing monitoring. Specifically, it works with the Seeed MR60BHA2 60 GHz and HLK-LD2410 24 GHz sensors to enable contactless vitals and presence detection.

What hardware do I need to run mmWave radar presence detection on ESP32?▼

To run mmWave radar presence detection on ESP32, you need an ESP32-C6 board, a Seeed MR60BHA2 or HLK-LD2410 sensor, and ESP32 firmware with mmWave fusion support. A host-side fusion bridge script is also required to process the data.

How do I set up ESP32 firmware for mmWave sensor fusion and presence detection?▼

To set up ESP32 firmware for mmWave sensor fusion, you must flash the ESP32-C6 with firmware supporting mmWave fusion and execute the host-side mmwave_fusion_bridge.py script. This configuration enables the collection of 48-byte fused vitals records.

Can I use mmWave radar for contactless health monitoring in smart home environments?▼

Yes, you can use mmWave radar for contactless health monitoring in smart home environments. The sensor fusion approach supports heart rate, breathing rate, and presence detection without requiring line-of-sight or wearable devices.

What are the limitations of using mmWave radar for health vitals detection?▼

Limitations of using mmWave radar for health vitals detection include the strict dependency on specific ESP32-C6 hardware and compatible MR60BHA2 or LD2410 sensors. The system also requires both ESP32 firmware and a host-side fusion bridge script to function.