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International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)
Long-Term Activity Monitoring with a Wearable Sensor Node
Cambridge, Massachusetts, U.S.A
April 03-April 05
ISBN: 0-7695-2547-4
ASCII Text
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Kristof Van Laerhoven, Hans-W. Gellersen, Yanni G. Malliaris, "Long-Term Activity Monitoring with a Wearable Sensor Node," Wearable and Implantable Body Sensor Networks, International Workshop on, pp. 171-174, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06), 2006.
 
 
BibTex
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@article{ 10.1109/BSN.2006.39,
author = {Kristof Van Laerhoven and Hans-W. Gellersen and Yanni G. Malliaris},
title = {Long-Term Activity Monitoring with a Wearable Sensor Node},
journal ={Wearable and Implantable Body Sensor Networks, International Workshop on},
volume = {0},
year = {2006},
isbn = {0-7695-2547-4},
pages = {171-174},
doi = {http://doi.ieeecomputersociety.org/10.1109/BSN.2006.39},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Wearable and Implantable Body Sensor Networks, International Workshop on
TI - Long-Term Activity Monitoring with a Wearable Sensor Node
SN - 0-7695-2547-4
SP171
EP174
A1 - Kristof Van Laerhoven,
A1 - Hans-W. Gellersen,
A1 - Yanni G. Malliaris,
PY - 2006
KW - null
VL - 0
JA - Wearable and Implantable Body Sensor Networks, International Workshop on
ER -
 
Kristof Van Laerhoven, Lancaster University
Hans-W. Gellersen, Lancaster University
Yanni G. Malliaris, King?s College London
This paper introduces an encapsulated sensor node that is devised to monitor and record motion patterns over long, quotidian periods of time with potential application in psychological studies. Its design fuses different sensing modalities to allow efficient capturing of tilt and acceleration stimuli, as well as embedded algorithms that abstract from the raw sensory data to indicative features. By combining tilt switches and accelerometers with customized processing techniques, it is argued that a power-efficient yet information-rich approach is reached for the observation and logging of human motion-based activity.
Citation:
Kristof Van Laerhoven, Hans-W. Gellersen, Yanni G. Malliaris, "Long-Term Activity Monitoring with a Wearable Sensor Node," bsn, pp.171-174, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06), 2006
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