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Finger Force Direction Recognition by Principal Component Analysis of Fingernail Coloration Pattern
Tsukuba, Japan March 22-March 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WHC.2007.53Second Joint EuroHaptics Conference a ...
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Yu Sun, John M. Hollerbach, Stephen A. Mascaro, "Finger Force Direction Recognition by Principal Component Analysis of Fingernail Coloration Pattern," World Haptics Conference, pp. 90-95, Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (WHC'07), 2007.
 
 
BibTex
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@article{ 10.1109/WHC.2007.53,
author = {Yu Sun and John M. Hollerbach and Stephen A. Mascaro},
title = {Finger Force Direction Recognition by Principal Component Analysis of Fingernail Coloration Pattern},
journal ={World Haptics Conference},
volume = {0},
year = {2007},
isbn = {0-7695-2738-8},
pages = {90-95},
doi = {http://doi.ieeecomputersociety.org/10.1109/WHC.2007.53},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - World Haptics Conference
TI - Finger Force Direction Recognition by Principal Component Analysis of Fingernail Coloration Pattern
SN - 0-7695-2738-8
SP90
EP95
A1 - Yu Sun,
A1 - John M. Hollerbach,
A1 - Stephen A. Mascaro,
PY - 2007
KW - null
VL - 0
JA - World Haptics Conference
ER -
 
Yu Sun, University of Utah
John M. Hollerbach, University of Utah
Stephen A. Mascaro, University of Utah
A method based on Principal Component Analysis of the fingernail coloration pattern is presented to infer fingertip force direction during planar contact. Images from 7 subjects were registered and normalized to each other. Results show that the fingernail coloration patterns are similar for the 7 subjects, but the feature centroids vary. It is concluded that there are common features for all people. But accurate detection of fingertip force direction requires individually calibrated centroids.
Citation:
Yu Sun, John M. Hollerbach, Stephen A. Mascaro, "Finger Force Direction Recognition by Principal Component Analysis of Fingernail Coloration Pattern," whc, pp.90-95, Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (WHC'07), 2007
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