OpenEarable ExG: Open-Source Hardware for Ear-Based Biopotential Sensing Applications

@inproceedings{lepold2024open,
    author = {Lepold, Philipp and R\"{o}ddiger, Tobias and King, Tobias and Kunze, Kai and Maurer, Christoph and Beigl, Michael},
    title = "OpenEarable ExG: Open-Source Hardware for Ear-Based Biopotential Sensing Applications",
    year = "2024",
    isbn = "9798400710582",
    publisher = "Association for Computing Machinery",
    address = "New York, NY, USA",
    url = "https://doi.org/10.1145/3675094.3678480",
    doi = "10.1145/3675094.3678480",
    booktitle = "Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing",
    pages = "916–920",
    numpages = "5",
    keywords = "bio-potential, earables, eeg, electroencephalography, electromyography, electrooculography, emg, eog, hearables, open-source",
    location = "Melbourne VIC, Australia",
    series = "UbiComp '24"
}