skip to main content
10.1145/3594806.3596529acmotherconferencesArticle/Chapter ViewAbstractPublication PagespetraConference Proceedingsconference-collections
poster

NeckWatcher: A Real-time Monitoring Tool for the Assessment of the Neck Posture

Published: 10 August 2023 Publication History

Abstract

Persistant poor posture can lead to the development of neck pain. Many different solutions have been proposed to aid in neck posture control, but most of them require additional devices. In this study, we present NeckWatcher, a tool that builds on MediaPipe Pose and utilizes an integrated webcam to monitor a person’s neck posture in real-time. It is designed to be user-friendly and realized as a stand-alone solution. Our first results suggest that NeckWatcher can be a useful tool for improving the sitting posture and, by that, reducing the risk of developing neck pain.

References

[1]
Faisal Arda, Lukito Edi Nugroho, and Widyawan. 2017. Activity monitoring system in supine position for preventing unhealthy smartphone reading posture. In 2017 7th International Annual Engineering Seminar (InAES). 1–6. https://doi.org/10.1109/INAES.2017.8068541
[2]
Jheanel Estrada and Larry Vea. 2017. Sitting posture recognition for computer users using smartphones and a web camera. In TENCON 2017 - 2017 IEEE Region 10 Conference. 1520–1525. https://doi.org/10.1109/TENCON.2017.8228098
[3]
Hobeom Han, Hyeongkyu Jang, and Sang Won Yoon. 2020. Novel Wearable Monitoring System of Forward Head Posture Assisted by Magnet-Magnetometer Pair and Machine Learning. IEEE Sensors Journal 20, 7 (2020), 3838–3848. https://doi.org/10.1109/JSEN.2019.2959817
[4]
Alberto Marcos Heredia-Rizo, Pascal Madeleine, and Grace P.Y. Szeto. 2022. Chapter 27 - Pain mechanisms in computer and smartphone users. In Features and Assessments of Pain, Anaesthesia, and Analgesia, Rajkumar Rajendram, Vinood B. Patel, Victor R. Preedy, and Colin R. Martin (Eds.). Academic Press, 291–301. https://doi.org/10.1016/B978-0-12-818988-7.00021-2
[5]
Korupalli V. Rajesh Kumar and Susan Elias. 2021. Real-Time Tracking of Human Neck Postures and Movements. Healthcare 9, 12 (Dec. 2021), 1755. https://doi.org/10.3390/healthcare9121755
[6]
Worawat Lawanont, Pornchai Mongkolnam, and Chakarida Nukoolkit. 2015. Smartphone posture monitoring system to prevent unhealthy neck postures. In 2015 12th International Joint Conference on Computer Science and Software Engineering (JCSSE). 331–336. https://doi.org/10.1109/JCSSE.2015.7219819
[7]
John Cloie T. Mallare, Dianne Faye G. Pineda, Gerald M. Trinidad, Reymond D. Serafica, Jules Benedict K. Villanueva, Angelo R. Dela Cruz, Ryan Rhay P. Vicerra, Kanny Krizzy D. Serrano, and Edison A. Roxas. 2017. Sitting posture assessment using computer vision. In 2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM). 1–5. https://doi.org/10.1109/HNICEM.2017.8269473
[8]
Ionut-Cristian Severin. 2020. Head Posture Monitor Based On 3 IMU Sensors: Consideration Toward Healthcare Application. In 2020 International Conference on e-Health and Bioeng (EHB). 1–4. https://doi.org/10.1109/EHB50910.2020.9280106

Index Terms

  1. NeckWatcher: A Real-time Monitoring Tool for the Assessment of the Neck Posture

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments
    July 2023
    797 pages
    ISBN:9798400700699
    DOI:10.1145/3594806
    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.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 10 August 2023

    Check for updates

    Author Tags

    1. machine learning
    2. neck pain
    3. pose estimation
    4. posture detection

    Qualifiers

    • Poster
    • Research
    • Refereed limited

    Conference

    PETRA '23

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 81
      Total Downloads
    • Downloads (Last 12 months)46
    • Downloads (Last 6 weeks)4
    Reflects downloads up to 16 Jan 2025

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media