How to make a blob breathe like a human
summary
An interactive breathing simulator called Blob is implemented in Python Arcade and driven by a parameterized model built from cited human-breathing research: rate, depth, inhale/exhale ratio, breath-to-breath variability, micro‑bumps and occasional sighs (about four sighs per ten minutes). Presets map to perceptible states—neutral (rate ~15, depth 25%), calm (~10, deeper exhale), activated (~40, deep+fast), panicked (~60, fast+shallow). Real‑world wearables are used, with exported events and sensor log merged offline; the prototype visualizes differences and produces measurable heart‑rate changes but not causal claims.
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chapters (8)
- 0:00Introduction
- 2:51Why create breathing blob
- 8:29Modeling human breathing
- 14:30Designing breathing model
- 17:39Emotion to breathing patterns
- 20:06Making model interactive
- 22:55Breathing and physiology
- 25:00Reflections and next steps
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