Your Smart Speaker Can "Hear" Your Heartbeat!
Fusang Zhang, Zhi Wang, Beihong Jin, Jie Xiong, Daqing Zhang
摘要
Vital sign monitoring is a common practice amongst medical professionals, and plays a key role in patient care and clinical diagnosis. Traditionally, dedicated equipment is employed to monitor these vital signs. For example, electrocardiograms (ECG) with 3 -12 electrodes are attached to the target chest for heartbeat monitoring. In the last few years, wireless sensing becomes a hot research topic and wireless signal itself is utilized for sensing purposes without requiring the target to wear any sensors. The contact-free nature of wireless sensing makes it particularly appealing in current COVID-19 pandemic. Recently, promising progress has been achieved and the sensing granularity has been pushed to millimeter level, fine enough to monitor respiration which causes a chest displacement of 5 mm. While a great success with respiration monitoring, it is still very challenging to monitor heartbeat due to the extremely subtle chest displacement (0.1 -0.5 mm) -smaller than 10% of that caused by respiration. What makes it worse is that the tiny heartbeat-caused chest displacement is buried inside the respiration-caused displacement. In this paper, we show the feasibility of employing the popular smart speakers (e.g., Amazon Echo) to monitor an individual's heartbeats in a contact-free manner. To extract the submillimeter heartbeat motion in the presence of other interference movements, a series of novel signal processing schemes are employed. We successfully prototype the first real-time heartbeat monitoring system using a commodity smart speaker. Experiment results show that the proposed system can monitor a target's heartbeat accurately, achieving a median heart rate estimation error of 0.75 beat per minute (bpm), and a median heartbeat interval estimation error of 13.28 ms (less than 1.8%), outperforming even some popular commodity products available on the market. CCS Concepts: • Human-centered computing → Ubiquitous and mobile computing systems and tools.
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引用它的顶会 Paper6
- PowerPhone: Unleashing the Acoustic Sensing Capability of SmartphonesShirui Cao, Dong Li, Sunghoon Ivan Lee, Jie XiongMobiCom 2023 · 被引用 35 次
- Enabling WiFi Sensing on New-generation WiFi CardsEnze Yi, Fusang Zhang, Jie Xiong, Kai Niu 等UbiComp 2024 · 被引用 14 次
- WindDancer: Understanding Acoustic Sensing under Ambient AirflowKuang Yuan, Dong Li, Hao Zhou, Zhehao Li 等UbiComp 2025 · 被引用 5 次
- Manipulation of Acoustic Focusing for Multi-target Sensing with Distributed Microphones in Smart Car CabinYuqi Su, Fusang Zhang, Beihong Jin, Daqing ZhangUbiComp 2025 · 被引用 4 次
- CardioLive: Empowering Video Streaming with Online Cardiac Monitoring via Audio-Visual LearningSheng Lyu, Ruiming Huang, Sijie Ji, Yasar Abbas Ur Rehman 等ACM MM 2025 · 被引用 1 次
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