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Show HN: Live breath detection and biofeedback from a phone microphone

Developer Felix Zeller has released the shii·haa app and a browser demo that uses phone microphone audio to deliver live breath detection and biofeedback without wearables. The system uses a rule-based pipeline with signal processing, a breathing state machine, and data-quality checks (augmented by bounded machine learning for refinement), processes audio on-device for privacy, focuses on enhancing self-awareness rather than distraction, and is undergoing clinical validation to assess accuracy in real-world, uncontrolled conditions.

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First seen
Jun 3, 2026, 12:02 AM
Last updated
Jun 3, 2026, 4:39 PM

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Show HN: Live breath detection and biofeedback from a phone microphone is currently shaped by signals from 1 source platforms. This page organizes AI analysis summaries, 1 timeline events, and 1 relationship edges so search engines and AI systems can understand the topic's factual basis and propagation arc.

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breath detectionbiofeedbackphone microphoneon-device processingwellness appself-awarenesssignal processingbreathing state machinemobile audiomindfulness tool

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Show HN: Live breath detection and biofeedback from a phone microphone

News · 1
Jun 3, 2026, 12:02 AMOpen original source

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Show HN: Live breath detection and biofeedback from a phone microphone

Jun 3, 2026, 12:02 AM

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