skip to main content
10.1145/3267305.3267650acmconferencesArticle/Chapter ViewAbstractPublication PagesubicompConference Proceedingsconference-collections
poster

Syncope Detection in Toilet Environments Using Wi-Fi Channel State Information

Published: 08 October 2018 Publication History

Abstract

Syncope and strokes in toilets can lead to severe injuries, and even pose life threats to patients. However, owing to privacy concerns, vision-based fall detection cannot be applied in such a scenario. In this poster, we propose ToiFall, a prototype for syncope detection in toilet environments. ToiFall collects Channel State Information (CSI) of commodity Wi-Fi devices. Different human movements form various textures on CSI images, and such textures can be used for feature extraction and classification. Experimental results show an accuracy of over 98% for fall detection with satisfying reliability.

References

[1]
Wenchang Cao, Xinhua Liu, and Fangmin Li, "Robust device-free fall detection using fine-grained Wi-Fi signatures.", Proc. of IEEE IAEAC, 2017: 1404--1408.
[2]
Chih-Chung Chang, and Chih-Jen Lin, "LIBSVM: a library for support vector machines.", ACM TIST, 2011, 2(3): 27.
[3]
Jen-Yin Chang, Kuan-Ying Lee, Yu-Lin Wei, Kate Ching-Ju Lin, Winston Hsu, "We Can 'See' You via Wi-Fi - WiFi Action Recognition via Vision-based Methods.", arXiv preprint arXiv: 1608.05461 (2016).
[4]
Daniel Halperin, et al., "Tool release: Gathering 802.11n traces with channel state information." ACM SIGCOMM Computer Communication Review, 2011, 41(1): 53.
[5]
Kaiming He, Xiangyu Zhang, et al., "Deep Residual Learning for Image Recognition.", Proceedings of the IEEE CVPR, 2016: 770--778.
[6]
Joji Inamasu, Kazuhiro Tomiyasu and Satoru Miyatake, et al., "Clinical characteristics of stroke occurring in the toilet: Are older adults more vulnerable?.", Geriatrics & Gerontology International, 2018, 18(2): 250--255.
[7]
Yuxi Wang, Kaishun Wu, and Lionel M. Ni, "Wifall: Device-free fall detection by wireless networks.", IEEE Trans. on Mobile Computing, 2017, 16(2): 581--594.
[8]
Zhong Zhang, Christopher Conly, and Vassilis Athitsos, "A survey on vision-based fall detection.", Proc. of the 8th ACM PETRA, 2015: 46.

Cited By

View all
  • (2024)Deep learning-based fall detection using commodity Wi-FiJournal of Information and Intelligence10.1016/j.jiixd.2024.04.001Online publication date: Apr-2024
  • (2024)A review on fall detection systems in bathrooms: challenges and opportunitiesMultimedia Tools and Applications10.1007/s11042-023-18088-683:29(73477-73505)Online publication date: 12-Jan-2024
  • (2023)FallDeWideoProceedings of the 3rd ACM MobiCom Workshop on Integrated Sensing and Communications Systems10.1145/3615984.3616501(7-12)Online publication date: 6-Oct-2023
  • Show More Cited By

Index Terms

  1. Syncope Detection in Toilet Environments Using Wi-Fi Channel State Information

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
    October 2018
    1881 pages
    ISBN:9781450359665
    DOI:10.1145/3267305
    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.

    Sponsors

    In-Cooperation

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 08 October 2018

    Check for updates

    Author Tags

    1. Action recognition
    2. Channel state information
    3. Fall detection

    Qualifiers

    • Poster
    • Research
    • Refereed limited

    Funding Sources

    • Natural Science Foundation of China
    • Fudan's Undergraduate Research Opportunities Program

    Conference

    UbiComp '18
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 764 of 2,912 submissions, 26%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)23
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 13 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Deep learning-based fall detection using commodity Wi-FiJournal of Information and Intelligence10.1016/j.jiixd.2024.04.001Online publication date: Apr-2024
    • (2024)A review on fall detection systems in bathrooms: challenges and opportunitiesMultimedia Tools and Applications10.1007/s11042-023-18088-683:29(73477-73505)Online publication date: 12-Jan-2024
    • (2023)FallDeWideoProceedings of the 3rd ACM MobiCom Workshop on Integrated Sensing and Communications Systems10.1145/3615984.3616501(7-12)Online publication date: 6-Oct-2023
    • (2023)RF-Based Human Activity Recognition Using Signal Adapted Convolutional Neural NetworkIEEE Transactions on Mobile Computing10.1109/TMC.2021.307396922:1(487-499)Online publication date: 1-Jan-2023
    • (2022)Device-Free Human Activity Recognition Based on Dual-Channel Transformer Using WiFi SignalsWireless Communications and Mobile Computing10.1155/2022/45984602022(1-14)Online publication date: 28-Jun-2022
    • (2021)State Estimation Method Using Radio Wave Intensity of BLE Beacon Installed Inside ObjectAdjunct Proceedings of the 2021 International Conference on Distributed Computing and Networking10.1145/3427477.3428189(92-97)Online publication date: 5-Jan-2021
    • (2021)Object Classification Based on Channel State Information Using Feature Spaces2021 International Conference on Electrical Engineering and Photonics (EExPolytech)10.1109/EExPolytech53083.2021.9614818(37-41)Online publication date: 14-Oct-2021
    • (2020)UWHearProceedings of the 18th Conference on Embedded Networked Sensor Systems10.1145/3384419.3430772(1-14)Online publication date: 16-Nov-2020
    • (2020)Device free human gesture recognition using Wi-Fi CSIEngineering Applications of Artificial Intelligence10.1016/j.engappai.2019.10328187:COnline publication date: 1-Jan-2020
    • (2019)A Survey on Human Behavior Recognition Using Channel State InformationIEEE Access10.1109/ACCESS.2019.29491237(155986-156024)Online publication date: 2019

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media