Finger Force Direction Recognition by Principal Component Analysis of Fingernail Coloration Pattern

Authors

Yu Sun, University of South FloridaFollow
John Hollerbach, University of Utah
Stephen Mascaro, University of Utah

Document Type

Conference Proceeding

Publication Date

3-2007

Keywords

principal component analysis, fingerprint identification, image colour analysis, feature centroids, finger force direction recognition, principal component analysis, fingernail coloration pattern

Digital Object Identifier (DOI)

https://doi.org/10.1109/WHC.2007.53

Abstract

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.

Was this content written or created while at USF?

No

Citation / Publisher Attribution

Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (WHC'07), Tsukaba, 2007, p. 90-95.

Scholar Commons Citation

Sun, Yu; Hollerbach, John; and Mascaro, Stephen, "Finger Force Direction Recognition by Principal Component Analysis of Fingernail Coloration Pattern" (2007). Computer Science and Engineering Faculty Publications. 97.
https://digitalcommons.usf.edu/esb_facpub/97