EarAcE: Empowering Versatile Acoustic Sensing via Earable Active Noise Cancellation Platform
Yetong Cao, Chao Cai, Anbo Yu, Fan Li, Jun Luo
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 EarACE to be the first acoustic sensing platform exploiting the native acoustics of commercial ANC earphones, significantly improving upon self-crafted earphone sensing devices. EarACE 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, EarACE 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 EarACE; the results evidently demonstrate EarACE's promising future in facilitating earable acoustic sensing research.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Cited by top-tier papers5
- Exploring the Feasibility of Remote Cardiac Auscultation Using EarphonesTao Chen, Yongjie Yang, Xiaoran Fan, Xiuzhen Guo et al.MobiCom 2024 · 34 citations
- Exploring Uni-manual Around Ear Off-Device Gestures for EarablesShaikh Shawon Arefin Shimon, Ali Neshati, Junwei Sun, Qiang Xu et al.UbiComp 2024 · 4 citations
- Poison to Cure: Privacy-preserving Wi-Fi Multi-User Sensing via Data PoisoningJingzhi Hu, Xin Li, Jin Gan, Jun LuoMobiCom 2025 · 4 citations
- A Survey of Earable Technology: Trends, Tools, and the Road AheadChangshuo Hu, Qiang Yang, Yang Liu, Tobias Röddiger et al.UbiComp 2026 · 4 citations
- ESPIRO: Natural Pulmonary Function Monitoring via Earphone-Acquired SpeechYetong Cao, Dong Ma, Wentao Xie, Qian Zhang et al.MobiCom 2025 · 3 citations
Related papers
- OpenEarable 2.0: Open-Source Earphone Platform for Physiological Ear SensingTobias Röddiger, Michael Küttner, Philipp Lepold, Tobias King et al.UbiComp 2025 · 19 citations
- I Can Hear You Without a Microphone: Live Speech Eavesdropping From Earphone Motion SensorsYetong Cao, Fan Li, Huijie Chen, Xiaochen Liu et al.INFOCOM 2023 · 16 citations
- EarSpeech: Exploring In-Ear Occlusion Effect on Earphones for Data-efficient Airborne Speech EnhancementFeiyu Han, Panlong Yang, You Zuo, Fei Shang et al.UbiComp 2024 · 10 citations
- MagSound: Magnetic Field Assisted Wireless Earphone TrackingLihao Wang, Wei Wang, Haipeng Dai, Shizhe LiuUbiComp 2023 · 6 citations
- BlinkListener: "Listen" to Your Eye Blink Using Your SmartphoneJialin Liu, Dong Li, Lei Wang, Jie XiongUbiComp 2021 · 41 citations
