Demonstrating OpenEarable 2.0: An AI-Powered Ear Sensing Platform

Tobias Röddiger; Valeria Zitz; Jonas Hummel; Michael Küttner; Philipp Lepold; Tobias King; Joseph A. Paradiso; Christopher Clarke; Michael Beigl

doi:10.1145/3706599.3721161

Demonstrating OpenEarable 2.0: An AI-Powered Ear Sensing Platform

Tobias Röddiger, Valeria Zitz, Jonas Hummel, Michael Küttner, Philipp Lepold, Tobias King, Joseph A. Paradiso, Christopher Clarke, Michael Beigl

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Abstract

In this demo, we present OpenEarable 2.0, an open-source earphone platform designed to provide an interactive exploration of physiological ear sensing and the development of AI applications. Attendees will have the opportunity to explore real-time sensor data and understand the capabilities of OpenEarable 2.0’s sensing components. OpenEarable 2.0 integrates a rich set of sensors, including two ultrasound-capable microphones (inward/outward), a 3-axis ear canal accelerometer/bone conduction microphone, a 9-axis head inertial measurement unit, a pulse oximeter, an optical temperature sensor, an ear canal pressure sensor, a microSD slot, and a microcontroller. Participants will be able to try out the web-based dashboard and mobile app for real-time control and data visualization. Furthermore, the demo will show different applications and real-time data based on OpenEarable 2.0 across physiological sensing and health monitoring, movement and activity tracking, and human-computer interaction.

Original language	English
Title of host publication	CHI EA 2025 - Proceedings of the Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems
Place of Publication	New York, U. S. A.
Publisher	Association for Computing Machinery
Number of pages	4
ISBN (Electronic)	9798400713958
DOIs	https://doi.org/10.1145/3706599.3721161
Publication status	Published - 25 Apr 2025
Event	2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025 - Yokohama, Japan Duration: 26 Apr 2025 → 1 May 2025

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025
Country/Territory	Japan
City	Yokohama
Period	26/04/25 → 1/05/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

earables
earphones
hearables
hearing aid
in-ear
open hardware
open wearables
open-source

ASJC Scopus subject areas

Human-Computer Interaction
Computer Graphics and Computer-Aided Design
Software

Access to Document

10.1145/3706599.3721161

Cite this

Röddiger, T., Zitz, V., Hummel, J., Küttner, M., Lepold, P., King, T., Paradiso, J. A., Clarke, C., & Beigl, M. (2025). Demonstrating OpenEarable 2.0: An AI-Powered Ear Sensing Platform. In CHI EA 2025 - Proceedings of the Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems Article 713 (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3706599.3721161

Demonstrating OpenEarable 2.0: An AI-Powered Ear Sensing Platform. / Röddiger, Tobias; Zitz, Valeria; Hummel, Jonas et al.
CHI EA 2025 - Proceedings of the Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems. New York, U. S. A.: Association for Computing Machinery, 2025. 713 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Röddiger, T, Zitz, V, Hummel, J, Küttner, M, Lepold, P, King, T, Paradiso, JA, Clarke, C & Beigl, M 2025, Demonstrating OpenEarable 2.0: An AI-Powered Ear Sensing Platform. in CHI EA 2025 - Proceedings of the Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems., 713, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, New York, U. S. A., 2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025, Yokohama, Japan, 26/04/25. https://doi.org/10.1145/3706599.3721161

Röddiger T, Zitz V, Hummel J, Küttner M, Lepold P, King T et al. Demonstrating OpenEarable 2.0: An AI-Powered Ear Sensing Platform. In CHI EA 2025 - Proceedings of the Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems. New York, U. S. A.: Association for Computing Machinery. 2025. 713. (Conference on Human Factors in Computing Systems - Proceedings). Epub 2025 Apr 25. doi: 10.1145/3706599.3721161

Röddiger, Tobias ; Zitz, Valeria ; Hummel, Jonas et al. / Demonstrating OpenEarable 2.0 : An AI-Powered Ear Sensing Platform. CHI EA 2025 - Proceedings of the Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems. New York, U. S. A. : Association for Computing Machinery, 2025. (Conference on Human Factors in Computing Systems - Proceedings).

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Demonstrating OpenEarable 2.0: An AI-Powered Ear Sensing Platform

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this