{"title":"EarAcE: Empowering Versatile Acoustic Sensing via Earable Active Noise Cancellation Platform","authors":"Yetong Cao, Chao Cai, A. Yu, Fan Li, Jun Luo","doi":"10.1145/3596242","DOIUrl":null,"url":null,"abstract":"In recent years, particular attention has been devoted to earable acoustic sensing due to its numerous applications. However, the lack of a common platform for accessing raw audio samples has forced researchers/developers to pay great efforts to the trifles of prototyping often irrelevant to the core sensing functions. Meanwhile, the growing popularity of active noise cancellation (ANC) has endowed common earphones with high standard acoustic capability yet to be explored by sensing. To this end, we propose EarA ce to be the first acoustic sensing platform exploiting the native acoustics of commercial ANC earphones, significantly improving upon self-crafted earphone sensing devices. EarA ce takes a compact design to handle hardware heterogeneity and to deliver flexible control on audio facilities. Leveraging a systematic study on in-ear acoustic signals, EarA ce gains abilities to combat performance sensitivity to device wearing states and to eliminate body motion interference. We further implement three major acoustic sensing applications to showcase the efficacy and adaptability of EarA ce ; the results evidently demonstrate EarA ce ’s promising future in facilitating earable acoustic sensing research.","PeriodicalId":20463,"journal":{"name":"Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.","volume":"88 1","pages":"47:1-47:23"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3596242","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In recent years, particular attention has been devoted to earable acoustic sensing due to its numerous applications. However, the lack of a common platform for accessing raw audio samples has forced researchers/developers to pay great efforts to the trifles of prototyping often irrelevant to the core sensing functions. Meanwhile, the growing popularity of active noise cancellation (ANC) has endowed common earphones with high standard acoustic capability yet to be explored by sensing. To this end, we propose EarA ce to be the first acoustic sensing platform exploiting the native acoustics of commercial ANC earphones, significantly improving upon self-crafted earphone sensing devices. EarA ce takes a compact design to handle hardware heterogeneity and to deliver flexible control on audio facilities. Leveraging a systematic study on in-ear acoustic signals, EarA ce gains abilities to combat performance sensitivity to device wearing states and to eliminate body motion interference. We further implement three major acoustic sensing applications to showcase the efficacy and adaptability of EarA ce ; the results evidently demonstrate EarA ce ’s promising future in facilitating earable acoustic sensing research.