Blog
About

  • Record: found
  • Abstract: found
  • Article: found
Is Open Access

A Smart Nocturnal Environment Monitoring System for the Hearing Impaired

, , , , , ,

Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)

Human Computer Interaction Conference

4 - 6 July 2018

Hearing, Intelligent, Machine learning, Prototype

Read this article at

Bookmark
      There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

      Abstract

      This paper presents a novel machine learning prototype to actively assist hearing-impaired people during sleeping hours. The prototype can learn ambient sounds and intelligently decide if they are indicative of dangerous situations such as warning alarms, or if they are merely unimportant background sounds. The application is targeted towards the hearing-impaired who will have removed hearing aids or external components of cochlear implants before sleep. Any sounds of importance can then be translated into vibrations to awaken the sleeping hearing impaired user. The system is suggestive of future smart interactive machines to assist and protect those with either hearing loss or profound deafness.

      Related collections

      Most cited references 13

      • Record: found
      • Abstract: not found
      • Article: not found

      Unsupervised feature learning for urban sound classification

        Bookmark
        • Record: found
        • Abstract: not found
        • Article: not found

        CNN architectures for large-scale audio classification

          Bookmark
          • Record: found
          • Abstract: not found
          • Article: not found

          Subcutaneous body area networks: A SWOT analysis

            Bookmark

            Author and article information

            Affiliations
            Ulster University

            Shore Road, N’abbey

            Co.Antrim, BT370QB
            Contributors
            Conference
            July 2018
            July 2018
            : 1-3
            10.14236/ewic/HCI2018.94
            © Finlay et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2018. Belfast, UK.

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Proceedings of the 32nd International BCS Human Computer Interaction Conference
            HCI
            32
            Belfast, UK
            4 - 6 July 2018
            Electronic Workshops in Computing (eWiC)
            Human Computer Interaction Conference
            Product
            Product Information: 1477-9358 BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Comments

            Comment on this article