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

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

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

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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 language	English
Title of host publication	2011 International Conference on Advanced Computer Science and Information System (ICACSIS) Proceedings
Publisher	IEEE
Pages	17-23
Number of pages	7
ISBN (Print)	9781457716881
Publication status	Published - 2012
Event	International Conference on Advanced Computer Science and Information Systems - Jakarta, Indonesia Duration: 17 Dec 2011 → 18 Dec 2011

Conference

Conference	International Conference on Advanced Computer Science and Information Systems
Abbreviated title	ICACSIS
Country/Territory	Indonesia
City	Jakarta
Period	17/12/11 → 18/12/11

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Networked body sensing

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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. <http://ieeexplore.ieee.org/document/6140736/>

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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. {\textcopyright} 2011 Universitas Indonesia.Publishers Statement: ",

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author = "R. Rednic and J. Kemp and E. Gaura and J. Brusey",

note = "{\textcopyright} 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.; International Conference on Advanced Computer Science and Information Systems, ICACSIS ; Conference date: 17-12-2011 Through 18-12-2011",

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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

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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

Y2 - 17 December 2011 through 18 December 2011

ER -

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

Abstract

Conference

Bibliographical note

Keywords

UN SDGs

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