A Survey of Earable Technology: Trends, Tools, and the Road Ahead
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arXiv
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| Autores principales: | , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866908406916317184 |
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| author | Hu, Changshuo Yang, Qiang Liu, Yang Röddiger, Tobias Butkow, Kayla-Jade Ciliberto, Mathias Pullin, Adam Luke Stuchbury-Wass, Jake Hassan, Mahbub Mascolo, Cecilia Ma, Dong |
| author_facet | Hu, Changshuo Yang, Qiang Liu, Yang Röddiger, Tobias Butkow, Kayla-Jade Ciliberto, Mathias Pullin, Adam Luke Stuchbury-Wass, Jake Hassan, Mahbub Mascolo, Cecilia Ma, Dong |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_05720 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Survey of Earable Technology: Trends, Tools, and the Road Ahead Hu, Changshuo Yang, Qiang Liu, Yang Röddiger, Tobias Butkow, Kayla-Jade Ciliberto, Mathias Pullin, Adam Luke Stuchbury-Wass, Jake Hassan, Mahbub Mascolo, Cecilia Ma, Dong Human-Computer Interaction 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. |
| title | A Survey of Earable Technology: Trends, Tools, and the Road Ahead |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2506.05720 |