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      A Smart Nocturnal Environment Monitoring System for the Hearing Impaired

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

      Human Computer Interaction Conference

      4 - 6 July 2018

      Hearing, Intelligent, Machine learning, Prototype

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          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.

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          Most cited references 13

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          Unsupervised feature learning for urban sound classification

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            CNN Architectures for Large-Scale Audio Classification

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              Subcutaneous body area networks: A SWOT analysis

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                Author and article information

                Contributors
                Conference
                July 2018
                July 2018
                : 1-3
                Affiliations
                Ulster University

                Shore Road, N’abbey

                Co.Antrim, BT370QB
                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

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