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Shiver Motion and Core Body Temperature Classification for Wearable Soldier Health Monitoring Systems
Arlington, Virginia October 31-November 03
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISWC.2004.39Eighth IEEE International Symposium o ...
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Michael Sung, Rich DeVaul, Silvia Jimenez, Jonathan Gips, Alex (Sandy) Pentland, "Shiver Motion and Core Body Temperature Classification for Wearable Soldier Health Monitoring Systems," Wearable Computers, IEEE International Symposium, pp. 192-193, Eighth IEEE International Symposium on Wearable Computers (ISWC'04), 2004.
 
 
BibTex
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@article{ 10.1109/ISWC.2004.39,
author = {Michael Sung and Rich DeVaul and Silvia Jimenez and Jonathan Gips and Alex (Sandy) Pentland},
title = {Shiver Motion and Core Body Temperature Classification for Wearable Soldier Health Monitoring Systems},
journal ={Wearable Computers, IEEE International Symposium},
volume = {0},
year = {2004},
issn = {1530-0811},
pages = {192-193},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISWC.2004.39},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Wearable Computers, IEEE International Symposium
TI - Shiver Motion and Core Body Temperature Classification for Wearable Soldier Health Monitoring Systems
SN - 1530-0811
SP192
EP193
A1 - Michael Sung,
A1 - Rich DeVaul,
A1 - Silvia Jimenez,
A1 - Jonathan Gips,
A1 - Alex (Sandy) Pentland,
PY - 2004
KW - null
VL - 0
JA - Wearable Computers, IEEE International Symposium
ER -
 
Michael Sung, MIT Media Laboratory, Cambridge, MA
Rich DeVaul, MIT Media Laboratory, Cambridge, MA
Silvia Jimenez, MIT Media Laboratory, Cambridge, MA
Jonathan Gips, MIT Media Laboratory, Cambridge, MA
Alex (Sandy) Pentland, MIT Media Laboratory, Cambridge, MA
We present a wearable real-time shiver monitor based on the MIThril LiveNet system, a flexible distributed mobile platform that can be used for a variety of proactive healthcare applications. In this exploratory study, we demonstrate that shivering can be accurately determined from continuous acclerometer sensing. Our preliminary results also indicate that shivering characteristics may be correlated with core body temperature, indicating the potential for creating a real-world cold exposure monitoring and classification werable system.
Citation:
Michael Sung, Rich DeVaul, Silvia Jimenez, Jonathan Gips, Alex (Sandy) Pentland, "Shiver Motion and Core Body Temperature Classification for Wearable Soldier Health Monitoring Systems," iswc, pp.192-193, Eighth IEEE International Symposium on Wearable Computers (ISWC'04), 2004
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