Beyond Sound: The First Workshop on Intelligent Acoustic Sensing on Wearables

dc.contributor.authorKim, Jiwan
dc.contributor.authorLee, Chi-Jung
dc.contributor.authorFan, Xiaoran
dc.contributor.authorLi, Dong
dc.contributor.authorThomaz, Edison
dc.date.accessioned2025-10-29T19:15:13Z
dc.date.issued2025
dc.descriptionBeyondSound: The First Workshop on Intelligent Acoustic Sensing on Wearables, October 13,2025,at UbiComp/ISWC 2025 in Espoo, Finland
dc.description.abstractAcoustic sensors are now integrated into nearly every wearable device, valued for their affordability, low power consumption, and unobtrusiveness. By design, microphones and speakers are traditionally used for speech interactions and sound playback, respectively. However, recent advancements in artificial intelligence, advanced signal processing, and high-fidelity compact sensors have enabled researchers in Ubiquitous and Wearable Computing and HumanComputer Interaction (HCI) to significantly expand the sensing capabilities of these acoustic components. They are now being repurposed as minimally obtrusive, low-power, and privacy-aware sensing units on wearables to capture high-quality information about users and their surrounding environments. This information can be intelligently interpreted for seamless interaction, contextual awareness, health monitoring, and activity recognition—highlighting the tremendous potential of acoustic sensing for the future of wearable technologies. To fully explore the opportunities and challenges of applying acoustic sensing in real-world applications in the age of AI, this workshop invites researchers and practitioners from academia and industry to share insights, identify key challenges and discuss emerging developments in intelligent acoustic sensing and interaction technologies for everyday wearable devices. Through collaborative discussion and exploration, participants will address critical issues and propose innovative solutions to advance the field. Topics of interest include, but are not limited to, acoustic sensing system development, open-source tools and datasets, signal processing, AI-driven approaches, privacy concerns, deployment challenges, and novel applications.
dc.description.sponsorshipThis research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2024-RS-2024-00436398) supervised by the IITP(Institute for Information & Communications Technology Planning & Evaluation) and the U.S. National Science Foundation under Grant No. 2239569
dc.description.urihttps://drive.google.com/file/d/1R7F8uSnKNrz1b0Yh0orjiUhgD-_fMx5k/view
dc.format.extent5 pages
dc.genreconference papers and proceedings
dc.genrepreprints
dc.identifierdoi:10.13016/m2fjv2-4zpv
dc.identifier.urihttp://hdl.handle.net/11603/40731
dc.language.isoen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.titleBeyond Sound: The First Workshop on Intelligent Acoustic Sensing on Wearables
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-3144-5104

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