Sensing with Earables: A Systematic Literature Review and Taxonomy of Phenomena
Tobias Röddiger, Christopher Clarke, Paula Breitling, Tim Schneegans, Haibin Zhao, Hans Gellersen, Michael Beigl
Abstract
Earables have emerged as a unique platform for ubiquitous computing by augmenting ear-worn devices with state-of-the-art sensing. This new platform has spurred a wealth of new research exploring what can be detected on a wearable, small form factor. As a sensing platform, the ears are less susceptible to motion artifacts and are located in close proximity to a number of important anatomical structures including the brain, blood vessels, and facial muscles which reveal a wealth of information. They can be easily reached by the hands and the ear canal itself is aected by mouth, face, and head movements. We have conducted a systematic literature review of 271 earable publications from the ACM and IEEE libraries. These were synthesized into an open-ended taxonomy of 47 dierent phenomena that can be sensed in, on, or around the ear. Through analysis, we identify 13 fundamental phenomena from which all other phenomena can be derived, and discuss the dierent sensors and sensing principles used to detect them. We comprehensively review the phenomena in four main areas of (i) physiological monitoring and health, (ii) movement and activity, (iii) interaction, and (iv) authentication and identication. This breadth highlights the potential that earables have to oer as a ubiquitous, general-purpose platform.
CCS Concepts: • General and reference ! Surveys and overviews.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 4f11925f-7b43-4c51-bb05-3dda475e4966Cited by top-tier papers14
- APG: Audioplethysmography for Cardiac Monitoring in HearablesXiaoran Fan, David Pearl, Richard E. Howard, Longfei Shangguan et al.MobiCom 2023 · 42 citations
- Exploring the Feasibility of Remote Cardiac Auscultation Using EarphonesTao Chen, Yongjie Yang, Xiaoran Fan, Xiuzhen Guo et al.MobiCom 2024 · 34 citations
- Envisioning the (In)Visibility of Discreet and Wearable AAC DevicesHumphrey Curtis, Zihao You, William Deary, Miruna-Ioana Tudoreanu et al.CHI 2023 · 27 citations
- OpenEarable 2.0: Open-Source Earphone Platform for Physiological Ear SensingTobias Röddiger, Michael Küttner, Philipp Lepold, Tobias King et al.UbiComp 2025 · 19 citations
- MAF: Exploring Mobile Acoustic Field for Hand-to-Face Gesture InteractionsYongjie Yang, Tao Chen, Yujing Huang, Xiuzhen Guo et al.CHI 2024 · 15 citations
Builds on14
- Social Acceptability in HCI: A Survey of Methods, Measures, and Design StrategiesMarion Koelle, Swamy Ananthanarayan, Susanne BollCHI 2020 · 174 citations
- EarBuddy: Enabling On-Face Interaction via Wireless EarbudsXuhai Xu, Haitian Shi, Xin Yi, Wenjia Liu et al.CHI 2020 · 91 citations
- EarDynamic: An Ear Canal Deformation Based Continuous User Authentication Using In-Ear WearablesZi Wang, Sheng Tan, Linghan Zhang, Yili Ren et al.UbiComp 2021 · 83 citations
- MM-Fit: Multimodal Deep Learning for Automatic Exercise Logging across Sensing DevicesDavid Strömbäck, Sangxia Huang, Valentin RaduUbiComp 2021 · 73 citations
- EarSense: earphones as a teeth activity sensorJay Prakash, Zhijian Yang, Yu-Lin Wei, Haitham Hassanieh et al.MobiCom 2020 · 67 citations
Related papers
- A Survey of Earable Technology: Trends, Tools, and the Road AheadChangshuo Hu, Qiang Yang, Yang Liu, Tobias Röddiger et al.UbiComp 2026 · 4 citations
- ExpressEar: Sensing Fine-Grained Facial Expressions with EarablesDhruv Verma, Sejal Bhalla, Dhruv Sahnan, Jainendra Shukla et al.UbiComp 2021 · 59 citations
- Computing with Smart Rings: A Systematic Literature ReviewZeyu Wang, Ruotong Yu, Xiangyang Wang, Jiexin Ding et al.UbiComp 2025 · 14 citations
- Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using EarablesSwapnil Sayan Saha, Sandeep Singh Sandha, Siyou Pei, Vivek Jain et al.UbiComp 2022 · 17 citations
- Exploring Uni-manual Around Ear Off-Device Gestures for EarablesShaikh Shawon Arefin Shimon, Ali Neshati, Junwei Sun, Qiang Xu et al.UbiComp 2024 · 4 citations
