Health Monitoring with Earables: A Survey

Health monitoring is a critical component of modern healthcare, requiring continuous or periodic measurement of physiological parameters to accurately assess personal health status. Advances in wearable technology have significantly improved the accessibility and convenience of such monitoring. Among various form factors, earables offer unique advantages: they can capture rich biosignals, provide stable and motion-resistant measurements, ensure long-term comfort, maintain discreteness, and integrate seamlessly with everyday audio functionalities. By investigating the latest technological advances and application cases in ear-worn devices, this survey reviews the current state of earable technology in health monitoring, identifies gaps and opportunities, and suggests directions for future research and development. We first explore the multifaceted role of earables in health monitoring, including measurement of physiological parameters, activity monitoring, and healthcare applications. We then summarize the challenges of robustness, context-awareness, and signal fidelity, and outline six future directions-dynamic monitoring, context-aware processing, multimodal fusion, semantic activity understanding, personalized adaptation, and explainable AI-to advance earable health monitoring.

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Publication Details

Journal
ACM Transactions on Internet of Things
Published
2025-12-17
DOI
https://doi.org/10.1145/3779303
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Health Monitoring with Earables: A Survey

Yuhan Zhao, Shuai Tong, Lin Wang, Jiliang Wang et al.
ACM Transactions on Internet of Things
Context-Aware Activity Recognition Systems
article

Health Monitoring with Earables: A Survey

Yuhan Zhao, Shuai Tong, Lin Wang, Jiliang Wang, Yongjie Du, Jincheng Li
article en

Abstract

Health monitoring is a critical component of modern healthcare, requiring continuous or periodic measurement of physiological parameters to accurately assess personal health status. Advances in wearable technology have significantly improved the accessibility and convenience of such monitoring. Among various form factors, earables offer unique advantages: they can capture rich biosignals, provide stable and motion-resistant measurements, ensure long-term comfort, maintain discreteness, and integrate seamlessly with everyday audio functionalities. By investigating the latest technological advances and application cases in ear-worn devices, this survey reviews the current state of earable technology in health monitoring, identifies gaps and opportunities, and suggests directions for future research and development. We first explore the multifaceted role of earables in health monitoring, including measurement of physiological parameters, activity monitoring, and healthcare applications. We then summarize the challenges of robustness, context-awareness, and signal fidelity, and outline six future directions-dynamic monitoring, context-aware processing, multimodal fusion, semantic activity understanding, personalized adaptation, and explainable AI-to advance earable health monitoring.

ACM Transactions on Internet of ThingsVol. 7(2)
Yanshan University (CN), Ion Exchange (India) (IN), Artificial Intelligence in Medicine (Canada) (CA), Tsinghua University (CN)
Openalex Percentile: Top 58%
Context-Aware Activity Recognition Systems
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