Spatial Acuity of Touch: Ubiquitous Decline with Aging Revealed by Repeated Threshold Testing

1996 ◽  
Vol 13 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Joseph C. Stevens ◽  
L. Alberto Cruz
1997 ◽  
Author(s):  
James C. Craig ◽  
Jayne M. Kisner

Neurology ◽  
2001 ◽  
Vol 56 (10) ◽  
pp. 1389-1391 ◽  
Author(s):  
F. Vega-Bermudez ◽  
K. O. Johnson
Keyword(s):  

2015 ◽  
Vol 38 (7) ◽  
pp. 777-781 ◽  
Author(s):  
KEVIN PHAN ◽  
PETER KABUNGA ◽  
MICHAEL J. KILBORN ◽  
RAYMOND W. SY

NeuroImage ◽  
2014 ◽  
Vol 91 ◽  
pp. 300-310 ◽  
Author(s):  
Bhim M. Adhikari ◽  
K. Sathian ◽  
Charles M. Epstein ◽  
Bidhan Lamichhane ◽  
Mukesh Dhamala

2009 ◽  
Vol 32 (2) ◽  
pp. 140-146 ◽  
Author(s):  
Grace W.S. Leong ◽  
Catherine A. Gorrie ◽  
Karl Ng ◽  
Sue Rutkowski ◽  
Phil M.E. Waite

2019 ◽  
Author(s):  
Syahrial

An art culture from Gorontalo became iconic handcraft is kerawang or karawo. The word “karawo” came from root word of “mokarawo” which means slicing or making holes. It’s created with precision, carefulness, and patience in work using handmade masterpiece. Pattern of karawo itself held four kinds which is flora, fauna, geometric, and nature. From those kinds born vary pattern which come difficult to identify both its names and its kind. Karawo patterns can be form as a single pattern or a pattern that it parts came from several or many pattern combined. Those patterns had its own characteristic from shape and scale perspective. Identifying single pattern on combined pattern are particularly a problem because it’s combined involve scaling and rotation. This research is recognizing single pattern on combined pattern using feature extraction SIFT algorithm which is capable extract feature that invariant from scale and rotation. Feature matching using approximate nearest neighbor (aNN) for similarity of features labor best bin first strategy on kd-tree data structure. Those methods can be a reference to recognize single pattern on combined pattern using from range 5 to 20 match features as a threshold. Testing result indicated recognition accuracy is good which range form 76.36% to 85.45% on recognize the kind of karawo pattern and 76.36% on its name.


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