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UbiEar: Bringing Location-independent Sound Awareness to the Hard-of-hearing People with Smartphones

Published: 30 June 2017 Publication History
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  • Abstract

    Non-speech sound-awareness is important to improve the quality of life for the deaf and hard-of-hearing (DHH) people. DHH people, especially the young, are not always satisfied with their hearing aids. According to the interviews with 60 young hard-of-hearing students, a ubiquitous sound-awareness tool for emergency and social events that works in diverse environments is desired. In this paper, we design UbiEar, a smartphone-based acoustic event sensing and notification system. Core techniques in UbiEar are a light-weight deep convolution neural network to enable location-independent acoustic event recognition on commodity smartphons, and a set of mechanisms for prompt and energy-efficient acoustic sensing. We conducted both controlled experiments and user studies with 86 DHH students and showed that UbiEar can assist the young DHH students in awareness of important acoustic events in their daily life.

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      cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
      Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Volume 1, Issue 2
      June 2017
      665 pages
      EISSN:2474-9567
      DOI:10.1145/3120957
      Issue’s Table of Contents
      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].

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      Publication History

      Published: 30 June 2017
      Accepted: 01 May 2017
      Revised: 01 April 2017
      Received: 01 February 2017
      Published in IMWUT Volume 1, Issue 2

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      • CETC shining Star Innovation.
      • Fundamental Research Funds for the Central Universities
      • National Natural Science Foundation of China (NSFC)

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      Cited By

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      • (2024)EchoPFLProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435608:1(1-22)Online publication date: 6-Mar-2024
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      • (2023)AdaMEC: Towards a Context-adaptive and Dynamically Combinable DNN Deployment Framework for Mobile Edge ComputingACM Transactions on Sensor Networks10.1145/363009820:1(1-28)Online publication date: 30-Oct-2023
      • (2023)AttFLProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109177:3(1-31)Online publication date: 27-Sep-2023
      • (2023)“Not There Yet”: Feasibility and Challenges of Mobile Sound Recognition to Support Deaf and Hard-of-Hearing PeopleProceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3597638.3608431(1-14)Online publication date: 22-Oct-2023
      • (2023)AdaptiveSound: An Interactive Feedback-Loop System to Improve Sound Recognition for Deaf and Hard of Hearing UsersProceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3597638.3608390(1-12)Online publication date: 22-Oct-2023
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      • (2023)Ubiquitous WiFi and Acoustic Sensing: Principles, Technologies, and ApplicationsJournal of Computer Science and Technology10.1007/s11390-023-3073-538:1(25-63)Online publication date: 31-Jan-2023
      • (2023)Internet of Things Technologies in Healthcare for People with Hearing ImpairmentsIoT and Big Data Technologies for Health Care10.1007/978-3-031-33545-7_21(299-308)Online publication date: 24-May-2023
      • (2022)SoundWatchCommunications of the ACM10.1145/353144765:6(100-108)Online publication date: 20-May-2022
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