RFID Tattoo: A Wireless Platform For Speech Recognition
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Abstract
This paper presents an RF-based assistive technology for voice impairments (i.e., dysphonia), which occurs in an estimated 1% of the global population. We specifically focus on acquired voice disorders where users continue to be able to make facial and lip gestures associated with speech. Despite the rich literature on assistive technologies in this space, there remains a gap for a solution that neither requires external infrastructure in the environment, battery-powered sensors on skin or body-worn manual input devices.We present RFTattoo, which to our knowledge is the first wireless speech recognition system for voice impairments using batteryless and flexible RFID tattoos. We design specialized wafer-thin tattoos attached around the user's face and easily hidden by makeup. We build models that process signal variations from these tattoos to a portable RFID reader to recognize various facial gestures corresponding to distinct classes of sounds. We then develop natural language processing models that infer meaningful words and sentences based on the observed series of gestures. A detailed user study with 10 users reveals 86% accuracy in reconstructing the top-100 words in the English language, even without the users making any sounds.References
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Index Terms
- RFID Tattoo: A Wireless Platform for Speech Recognition
Human-centered computing
Accessibility
Accessibility technologies
Ubiquitous and mobile computing
Ubiquitous and mobile computing systems and tools
Networks
Network services
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Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 3, Issue 4December 2019873 pagesEISSN:2474-9567DOI:10.1145/3375704Issue’s Table of Contents Copyright © 2019 ACM.Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].Publisher
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- Shah NSahipjohn NTambrahalli VSubramanian RGandhi V(2024)StethoSpeech: Speech Generation Through a Clinical Stethoscope Attached to the SkinProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785158:3(1-21)Online publication date: 9-Sep-2024https://dl.acm.org/doi/10.1145/3678515
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Jingxian WangCarnegie Mellon UniversityView ProfileChengfeng PanCarnegie Mellon UniversityView ProfileHaojian JinCarnegie Mellon UniversityView ProfileVaibhav SinghCarnegie Mellon UniversityView ProfileYash JainIndian Institute of Technology BombayView ProfileJason I. HongCarnegie Mellon UniversityView ProfileCarmel MajidiCarnegie Mellon UniversityView ProfileSwarun KumarCarnegie Mellon UniversityView ProfileDownload PDF Go toGo toShow all referencesRequest permissionsExpand All Collapse Expand TableAuthors Info & Affiliations View Issue’s Table of ContentsExport Citations
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