用日常麦克风无感监测室内空气传播风险，兼顾隐私与实时性。
Privacy-Aware Ambient Audio Sensing for Healthy Indoor Spaces
- 利用现有麦克风采集环境音频，推断通风、人员分布等风险因子。
- 实现非侵入式实时监测，支持全场景空气健康评估。
- 适合关注室内健康、智能建筑的科研与应用者。
室内空气传播带来显著健康风险，但现有监测手段存在侵入性、成本高或无法直接应对等问题。本研究探索了环境音频感知在非侵入式、实时估算通风效率、气溶胶排放及人员分布等关键传播风险因素方面的潜力。通过开发隐私保护系统，利用现有麦克风对室内空气质量进行全面监测，可显著影响个体健康。该工作为基于日常设备的隐私友好型空气传播风险监测奠定了基础。
原文摘要 · Abstract (English)
Indoor airborne transmission poses a significant health risk, yet current monitoring solutions are invasive, costly, or fail to address it directly. My research explores the untapped potential of ambient audio sensing to estimate key transmission risk factors such as ventilation, aerosol emissions, and occupant distribution non-invasively and in real time. I develop privacy-preserving systems that leverage existing microphones to monitor the whole spectrum of indoor air quality which can have a significant effect on an individual's health. This work lays the foundation for privacy-aware airborne risk monitoring using everyday devices.
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