A Survey of Earable Technology: Trends, Tools, and the Road Ahead

2025-06-06

AI Summary

This paper addresses three core challenges in ear-worn computing: evolutionary trajectories, available resources, and emerging opportunities. Systematically reviewing over 100 studies published since 2022, it employs bibliometric analysis, cross-modal sensor categorization, technology readiness level (TRL) assessment, and trend forecasting—integrating acoustic, physiological, motion, and environmental sensing modalities. The study synthesizes key advances from the past three years, including novel transduction principles, multi-scenario health and interaction applications (e.g., heart rate monitoring, speech enhancement, seizure prediction), accuracy-enhancement techniques, and open-source datasets/platforms—thereby constructing a comprehensive taxonomy for ubiquitous ear-worn computing. Results reveal a paradigm shift: ear-worn devices have evolved from audio-centric peripherals into versatile multimodal sensing platforms, catalyzing the emergence of more than ten new open-source hardware and software resources.

Technology Category

• Intelligent Robots: Multimodal Perception & Sensor Fusion
• Cognitive Modeling & Cognitive Systems: Affective Computing
• Machine Learning: Hardware-aware ML

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Experiences and lessons learnt from Web-based algorithms and system deployments
• Web Mining and Content Analysis: Models for Web evolution
• Security and Privacy: Data transparency and provenance

Abstract

Earable devices, wearables positioned in or around the ear, are undergoing a rapid transformation from audio-centric accessories into multifunctional systems for interaction, contextual awareness, and health monitoring. This evolution is driven by commercial trends emphasizing sensor integration and by a surge of academic interest exploring novel sensing capabilities. Building on the foundation established by earlier surveys, this work presents a timely and comprehensive review of earable research published since 2022. We analyze over one hundred recent studies to characterize this shifting research landscape, identify emerging applications and sensing modalities, and assess progress relative to prior efforts. In doing so, we address three core questions: how has earable research evolved in recent years, what enabling resources are now available, and what opportunities remain for future exploration. Through this survey, we aim to provide both a retrospective and forward-looking view of earable technology as a rapidly expanding frontier in ubiquitous computing. In particular, this review reveals that over the past three years, researchers have discovered a variety of novel sensing principles, developed many new earable sensing applications, enhanced the accuracy of existing sensing tasks, and created substantial new resources to advance research in the field. Based on this, we further discuss open challenges and propose future directions for the next phase of earable research.

Problem

• Analyzing recent evolution of earable technology research
• Identifying emerging applications and sensing modalities
• Addressing open challenges and future research directions

Innovation

• Comprehensive review of recent earable research
• Analysis of novel sensing principles and applications
• Proposal of future directions for earable technology