@inproceedings{169cae8beb9a4469b74d91210c7f2830,
title = "Demonstrating OpenEarable 2.0: An AI-Powered Ear Sensing Platform",
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{\textquoteright}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.",
keywords = "earables, earphones, hearables, hearing aid, in-ear, open hardware, open wearables, open-source",
author = "Tobias R{\"o}ddiger and Valeria Zitz and Jonas Hummel and Michael K{\"u}ttner and Philipp Lepold and Tobias King and Paradiso, {Joseph A.} and Christopher Clarke and Michael Beigl",
year = "2025",
month = apr,
day = "25",
doi = "10.1145/3706599.3721161",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI EA 2025 - Proceedings of the Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems",
address = "USA United States",
note = "2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025 ; Conference date: 26-04-2025 Through 01-05-2025",
}
