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SinkAmp: Interactive Sink to Detect Living Habits for Healthcare and Quality of Life

Published: 05 March 2018 Publication History

Abstract

We have developed SinkAmp which detects living habits (e.g., hand wash, face wash, gargle) from the sound of water flow and talks interactively to users through synthetic sounds. Healthcare has been getting important recently, especially for the elderly. In such situations, a monitoring service is one of the solutions to watch a target person continuously through a camera and report whether the person is healthy or not through e-mail. However, camera-based monitoring makes people's activities limited, because the camera becomes a mental barrier to people. In contrast, our SinkAmp is set inside the sink where people wash their hands and often drink water, so invisible and ambient monitoring is possible. This paper describes our SinkAmp focusing on its implementation and initial evaluation.

References

[1]
J. Chen, A. H. Kam, J. Zhang, N. Liu, and L. Shue. Bathroom Activity Monitoring Based on Sound, In Proceedings of Pervasive '05, pp. 47--61, 2005.
[2]
M. Tanaka, A. Ishii, E. Yamano, H. Ogikubo, M. Okazaki, K. Kamimura, Y. Konishi, S. Emoto, and Y. Watanabe. Effect of a human-type communication robot on cognitive function in elderly females living alone. Med. Sci. Monit, 18 (9): pp. 550--557, 2012.

Cited By

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  • (2021)Electronic Monitoring Systems for Hand Hygiene: Systematic Review of TechnologyJournal of Medical Internet Research10.2196/2788023:11(e27880)Online publication date: 24-Nov-2021
  • (2019)Explainability scenariosProceedings of the 24th International Conference on Intelligent User Interfaces10.1145/3301275.3302317(252-257)Online publication date: 17-Mar-2019
  • (2018)SinkNet: Interactive Sink to Detect Living Habits for Healthcare and Quality of Life Using Private Networks2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)10.1109/AIVR.2018.00020(92-99)Online publication date: Dec-2018

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  1. SinkAmp: Interactive Sink to Detect Living Habits for Healthcare and Quality of Life

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    Published In

    cover image ACM Conferences
    IUI '18 Companion: Companion Proceedings of the 23rd International Conference on Intelligent User Interfaces
    March 2018
    141 pages
    ISBN:9781450355711
    DOI:10.1145/3180308
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 05 March 2018

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    Author Tags

    1. Interactive system
    2. healthcare
    3. machine learning
    4. quality of life
    5. sink
    6. support vector machine

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    IUI '18 Companion Paper Acceptance Rate 63 of 127 submissions, 50%;
    Overall Acceptance Rate 746 of 2,811 submissions, 27%

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    Cited By

    View all
    • (2021)Electronic Monitoring Systems for Hand Hygiene: Systematic Review of TechnologyJournal of Medical Internet Research10.2196/2788023:11(e27880)Online publication date: 24-Nov-2021
    • (2019)Explainability scenariosProceedings of the 24th International Conference on Intelligent User Interfaces10.1145/3301275.3302317(252-257)Online publication date: 17-Mar-2019
    • (2018)SinkNet: Interactive Sink to Detect Living Habits for Healthcare and Quality of Life Using Private Networks2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)10.1109/AIVR.2018.00020(92-99)Online publication date: Dec-2018

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