OpenEarable 2.0: Open-Source Earphone Platform for Physiological Ear Sensing
Tobias Röddiger, Michael Küttner, Philipp Lepold, Tobias King, Dennis Moschina, Oliver Bagge, Joseph A. Paradiso, Christopher Clarke, Michael Beigl
摘要
Earphones have evolved from pure audio devices to "earables" that are capable of advanced sensing. Bespoke research devices have shown the unique sensing capabilities of the earable platform; however, they are hard to replicate and require expertise to develop in the first place. In this paper, we present OpenEarable 2.0 - an open source, unified platform that integrates a larger number of sensors for conducting comprehensive earable research. OpenEarable 2.0 works as regular binaural Bluetooth earphones and features two ultrasound capable microphones (inward/outward), a 3-axis ear canal accelerometer/bone microphone, a 9-axis head inertial measurement unit, pulse oximeter, optical temperature sensor, ear canal pressure sensor, and microSD card. These capabilities allow for the detection and measurement of 30+ phenomena on the ear that can be used across a wide range of applications in health monitoring, activity tracking, human-computer-interaction and authentication. We describe the design and development of OpenEarable 2.0 which follows best open hardware practices and achieves commercial-level wearability. We provide justification for the selection and placement of integrated sensors and include in-depth descriptions of the extensible, open source firmware and hardware that are implemented using free to use tools and frameworks. For real-time sensor control and data recording we also contribute a web-based dashboard and mobile smartphone app. The wearability and ability to sense different phenomena are validated in four studies which showcases how OpenEarable 2.0 provides accurate measurements in comparison to established gold-standard measurements. We further demonstrate that OpenEarable 2.0 can be assembled by inexperienced users, and that undergraduate students can build applications using the OpenEarable platform.
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引用它的顶会 Paper3
- Wireless Hearables With Programmable Speech AI AcceleratorsMalek Itani, Tuochao Chen, Arun Raghavan, Gavriel Kohlberg 等MobiCom 2025 · 被引用 4 次
- A Survey of Earable Technology: Trends, Tools, and the Road AheadChangshuo Hu, Qiang Yang, Yang Liu, Tobias Röddiger 等UbiComp 2026 · 被引用 4 次
- VueBuds: Visual Intelligence with Wireless EarbudsMaruchi Kim, Rasya Fawwaz, Zhi Yang Lim, Brinda Moudgalya 等CHI 2026 · 被引用 1 次
它引用的顶会 Paper8
- Sensing with Earables: A Systematic Literature Review and Taxonomy of PhenomenaTobias Röddiger, Christopher Clarke, Paula Breitling, Tim Schneegans 等UbiComp 2022 · 被引用 102 次
- EarBuddy: Enabling On-Face Interaction via Wireless EarbudsXuhai Xu, Haitian Shi, Xin Yi, Wenjia Liu 等CHI 2020 · 被引用 91 次
- EarGate: gait-based user identification with in-ear microphonesAndrea Ferlini, Dong Ma, Robert Harle, Cecilia MascoloMobiCom 2021 · 被引用 82 次
- MM-Fit: Multimodal Deep Learning for Automatic Exercise Logging across Sensing DevicesDavid Strömbäck, Sangxia Huang, Valentin RaduUbiComp 2021 · 被引用 73 次
- C-Face: Continuously Reconstructing Facial Expressions by Deep Learning Contours of the Face with Ear-mounted Miniature CamerasTuochao Chen, Benjamin Steeper, Kinan Alsheikh, Songyun Tao 等UIST 2020 · 被引用 49 次
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