EigenNail for Finger Force Direction Recognition
principal component analysis, eigenvalues and eigenfunctions, image colour analysis, image recognition, principal component analysis, eigennail, finger force direction recognition, fingertip force classification, coloration patterns, face recognition, eigenfaces, shear force direction classification
Digital Object Identifier (DOI)
This paper presents a technique termed eigennails to classify fingertip force during contact based on the coloration patterns in the fingernail and surrounding skin. Fingertip force is classified into six directions: no force, normal force only, two directions (left/right) of lateral shear force, and two directions (forward/backward) of longitudinal shear forces. Based on the face recognition technique eigenfaces, a small number of eigennails are sufficient to express the color pattern features for shear force direction classification. Results show that 98% of 960 fingernail images of 8 different subjects are correctly classified. The lowest imaging resolution without sacrificing classification accuracy is found to be 10-by-10.
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Citation / Publisher Attribution
Proceedings 2007 IEEE International Conference on Robotics and Automation, Roma, 2007, p. 3251-3256.
Scholar Commons Citation
Sun, Yu; Hollerbach, John; and Mascaro, Stephen, "EigenNail for Finger Force Direction Recognition" (2007). Computer Science and Engineering Faculty Publications. 98.