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.
翻译:室内空气传播构成显著的健康风险,然而现有监测方案具有侵入性、成本高昂或未能直接应对该问题。本研究探索了利用环境音频传感非侵入式实时估计关键传播风险因素(如通风状况、气溶胶排放与人员分布)的未开发潜力。我开发了隐私保护系统,利用现有麦克风监测室内空气质量的完整频谱,这对个人健康具有重要影响。此项工作为使用日常设备进行隐私感知的空气传播风险监测奠定了基础。