Networked body sensing: Enabling real-time decisions in health and defence applications

R. Rednic, J. Kemp, E. Gaura, J. Brusey

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding

    4 Citations (Scopus)
    19 Downloads (Pure)

    Abstract

    This paper presents the application scenario, conceptual overview and implementation of a monitoring system targeted at monitoring EOD suit wearers during missions. The system's aim is to deliver prediction of heat stress risk in the operative and provide actuation of a cooling system integrated within the suit. Prior work established that such prediction requires real-time autonomous processing of skin temperature and body acceleration data, and thus a system implementation is presented based on two interacting subsystems that perform the required sensing and data processing. Posture classification is performed with an accuracy of 96.1%, and a heat stress prediction algorithm is demonstrated with an overall accuracy of 88.5% when predicting the occurrence of heat stress within the next 2 minutes. © 2011 Universitas Indonesia.

    Publishers Statement:
    Original languageEnglish
    Title of host publication2011 International Conference on Advanced Computer Science and Information System (ICACSIS) Proceedings
    PublisherIEEE
    Pages17-23
    Number of pages7
    ISBN (Print)9781457716881
    Publication statusPublished - 2012
    EventInternational Conference on Advanced Computer Science and Information Systems - Jakarta, Indonesia
    Duration: 17 Dec 201118 Dec 2011

    Conference

    ConferenceInternational Conference on Advanced Computer Science and Information Systems
    Abbreviated titleICACSIS
    CountryIndonesia
    CityJakarta
    Period17/12/1118/12/11

    Fingerprint

    Health
    Monitoring
    Cooling systems
    Skin
    Processing
    Hot Temperature
    Temperature

    Bibliographical note

    © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    Keywords

    • Application scenario
    • Body acceleration
    • Defence applications
    • Heat stress
    • Heat stress predictions
    • Monitoring system
    • Posture classification
    • Skin temperatures
    • System implementation, Algorithms
    • Computer science
    • Data processing
    • Forecasting
    • Health risks
    • Information systems, Thermal stress

    Cite this

    Rednic, R., Kemp, J., Gaura, E., & Brusey, J. (2012). Networked body sensing: Enabling real-time decisions in health and defence applications. In 2011 International Conference on Advanced Computer Science and Information System (ICACSIS) Proceedings (pp. 17-23). IEEE.

    Networked body sensing : Enabling real-time decisions in health and defence applications. / Rednic, R.; Kemp, J.; Gaura, E.; Brusey, J.

    2011 International Conference on Advanced Computer Science and Information System (ICACSIS) Proceedings. IEEE, 2012. p. 17-23.

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding

    Rednic, R, Kemp, J, Gaura, E & Brusey, J 2012, Networked body sensing: Enabling real-time decisions in health and defence applications. in 2011 International Conference on Advanced Computer Science and Information System (ICACSIS) Proceedings. IEEE, pp. 17-23, International Conference on Advanced Computer Science and Information Systems, Jakarta, Indonesia, 17/12/11.
    Rednic R, Kemp J, Gaura E, Brusey J. Networked body sensing: Enabling real-time decisions in health and defence applications. In 2011 International Conference on Advanced Computer Science and Information System (ICACSIS) Proceedings. IEEE. 2012. p. 17-23
    Rednic, R. ; Kemp, J. ; Gaura, E. ; Brusey, J. / Networked body sensing : Enabling real-time decisions in health and defence applications. 2011 International Conference on Advanced Computer Science and Information System (ICACSIS) Proceedings. IEEE, 2012. pp. 17-23
    @inproceedings{10d038b236e1437bacd969b4427b5341,
    title = "Networked body sensing: Enabling real-time decisions in health and defence applications",
    abstract = "This paper presents the application scenario, conceptual overview and implementation of a monitoring system targeted at monitoring EOD suit wearers during missions. The system's aim is to deliver prediction of heat stress risk in the operative and provide actuation of a cooling system integrated within the suit. Prior work established that such prediction requires real-time autonomous processing of skin temperature and body acceleration data, and thus a system implementation is presented based on two interacting subsystems that perform the required sensing and data processing. Posture classification is performed with an accuracy of 96.1{\%}, and a heat stress prediction algorithm is demonstrated with an overall accuracy of 88.5{\%} when predicting the occurrence of heat stress within the next 2 minutes. {\circledC} 2011 Universitas Indonesia.Publishers Statement:",
    keywords = "Application scenario, Body acceleration, Defence applications, Heat stress, Heat stress predictions, Monitoring system, Posture classification, Skin temperatures, System implementation, Algorithms, Computer science, Data processing, Forecasting, Health risks, Information systems, Thermal stress",
    author = "R. Rednic and J. Kemp and E. Gaura and J. Brusey",
    note = "{\circledC} 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.",
    year = "2012",
    language = "English",
    isbn = "9781457716881",
    pages = "17--23",
    booktitle = "2011 International Conference on Advanced Computer Science and Information System (ICACSIS) Proceedings",
    publisher = "IEEE",

    }

    TY - GEN

    T1 - Networked body sensing

    T2 - Enabling real-time decisions in health and defence applications

    AU - Rednic, R.

    AU - Kemp, J.

    AU - Gaura, E.

    AU - Brusey, J.

    N1 - © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    PY - 2012

    Y1 - 2012

    N2 - This paper presents the application scenario, conceptual overview and implementation of a monitoring system targeted at monitoring EOD suit wearers during missions. The system's aim is to deliver prediction of heat stress risk in the operative and provide actuation of a cooling system integrated within the suit. Prior work established that such prediction requires real-time autonomous processing of skin temperature and body acceleration data, and thus a system implementation is presented based on two interacting subsystems that perform the required sensing and data processing. Posture classification is performed with an accuracy of 96.1%, and a heat stress prediction algorithm is demonstrated with an overall accuracy of 88.5% when predicting the occurrence of heat stress within the next 2 minutes. © 2011 Universitas Indonesia.Publishers Statement:

    AB - This paper presents the application scenario, conceptual overview and implementation of a monitoring system targeted at monitoring EOD suit wearers during missions. The system's aim is to deliver prediction of heat stress risk in the operative and provide actuation of a cooling system integrated within the suit. Prior work established that such prediction requires real-time autonomous processing of skin temperature and body acceleration data, and thus a system implementation is presented based on two interacting subsystems that perform the required sensing and data processing. Posture classification is performed with an accuracy of 96.1%, and a heat stress prediction algorithm is demonstrated with an overall accuracy of 88.5% when predicting the occurrence of heat stress within the next 2 minutes. © 2011 Universitas Indonesia.Publishers Statement:

    KW - Application scenario

    KW - Body acceleration

    KW - Defence applications

    KW - Heat stress

    KW - Heat stress predictions

    KW - Monitoring system

    KW - Posture classification

    KW - Skin temperatures

    KW - System implementation, Algorithms

    KW - Computer science

    KW - Data processing

    KW - Forecasting

    KW - Health risks

    KW - Information systems, Thermal stress

    M3 - Conference proceeding

    SN - 9781457716881

    SP - 17

    EP - 23

    BT - 2011 International Conference on Advanced Computer Science and Information System (ICACSIS) Proceedings

    PB - IEEE

    ER -