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1 change: 1 addition & 0 deletions series/praha-pyvo/events/2025-06-18.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -37,4 +37,5 @@ talks:
- Jarka Schovancová
description: |
What if you could help a radar sense whether someone is breathing—without touching them—using Python? In this talk, I'll share insights from an R&D project where I explored using Python (among others) to detect respiratory rate from frequency-modulated continuous-wave (FMCW) radar data. The project was driven by a practical need at CERN: enabling remote rescue teams to assess vital signs in industrial environments where wearable sensors aren't viable. With just the radar's noisy reflections as input, the challenge was to see whether reliable breathing detection was even possible.

I'll take you through the Python pipeline I built—from signal pre-processing and motion isolation to modeling subtle respiratory patterns buried in noise. Along the way, we'll look at how factors like body posture, clothing, distance, and occlusions impact detection. This isn't about delivering a polished product, but about what you can learn and prototype when you mix a radar with Python's scientific stack (NumPy, SciPy, and more). If you're curious about signal processing, sensor data hacking, or turning raw physics and robotics sensing into actionable insights with Python, this talk is for you.