Imaging the Finger Force Direction
Document Type
Conference Proceeding
Publication Date
6-2007
Keywords
image resolution, human computer interaction, image colour analysis, image matching, image registration, linear discriminant analysis, finger force direction imaging, fingernail coloration pattern, planar contact, image registration, RANSAC, image warping, fingertip force direction recognition
Digital Object Identifier (DOI)
https://doi.org/10.1109/CVPR.2007.383256
Abstract
This paper presents a method of imaging the coloration pattern in the fingernail and surrounding skin to infer fingertip force direction during planar contact. Nail images from 7 subjects were registered to reference images with RANSAC and then warped to an atlas with elastic registration. Recognition of fingertip force direction, based on linear discriminant analysis, shows that there are common color pattern features in the fingernail and surrounding skin for different subjects. Based on the common features, the overall recognition accuracy is 92%.
Was this content written or created while at USF?
No
Citation / Publisher Attribution
2007 IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, MN, 2007, p. 1-6.
Scholar Commons Citation
Sun, Yu; Hollerbach, John; and Mascaro, Stephen, "Imaging the Finger Force Direction" (2007). Computer Science and Engineering Faculty Publications. 99.
https://digitalcommons.usf.edu/esb_facpub/99
