Waiting Room Monitoring System
A healthcare monitoring concept designed for waiting-room environments, combining mmWave radar and camera-based sensing to support passive vital-sign and condition monitoring. The project focused on system integration, technical credibility, and health-system relevance.
System Architect / Hardware Integration / Technical Development
April 2026
Multidisciplinary hackathon team
mmWave + Camera
Sensor Stack
Healthcare Monitoring
Domain
Multimodal Sensing Prototype
System Type
Overview
A healthcare monitoring concept designed for waiting-room environments, combining mmWave radar and camera-based sensing to support passive vital-sign and condition monitoring.
Problem
Patients in crowded healthcare waiting areas may deteriorate without continuous observation. The goal was to explore whether multimodal sensing could improve visibility into patient condition without requiring constant manual monitoring.
Objectives
- Build a technically credible healthcare sensing concept
- Use room-level monitoring rather than wearable-only approaches
- Combine mmWave and camera-based monitoring ideas
- Create a system story that felt implementable in real care environments
System Architecture
A centralized sensing node uses mmWave radar and camera-based monitoring features to observe patient conditions and support automated monitoring or escalation logic.
Hardware
- TI mmWave radar sensor
- camera-based sensing hardware
Software
- Python
- computer vision workflow
- radar demo tooling/integration
Algorithms / Processing
- vital-sign sensing concepts
- computer vision monitoring features
- multimodal system integration
Key Decisions and Tradeoffs
- Chose a multimodal sensing approach to improve robustness
- Balanced hackathon speed with technical credibility
- Framed the system around deployment logic, not just technical novelty
Biggest Challenge
The biggest challenge was working with technically demanding sensing hardware under a compressed timeline while still presenting a credible healthcare system. I addressed that by focusing on system architecture, integration logic, and practical deployment framing.
Validation and Testing
- prototype exploration
- sensor setup work
- technical feasibility framing
- concept validation through demo architecture
Impact
This project demonstrated my ability to work on ambitious multidisciplinary systems involving sensing hardware, healthcare workflows, and technical storytelling under time pressure.
Next Improvements
- Deepen actual radar-data integration
- Improve multi-patient robustness
- Expand the validation pipeline