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:
Publishers Statement:
Original language | English |
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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 |
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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