Title :
Finger Force Direction Recognition by Principal Component Analysis of Fingernail Coloration Pattern
Author :
Sun, Yu ; Hollerbach, John M. ; Mascaro, Stephen A.
Author_Institution :
Sch. of Comput., Utah Univ., Salt Lake, UT
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
Keywords :
fingerprint identification; image colour analysis; principal component analysis; feature centroids; finger force direction recognition; fingernail coloration pattern; principal component analysis; Blood; Cities and towns; Fingers; Force measurement; Force sensors; Pattern recognition; Pixel; Principal component analysis; Sensor arrays; Skin;
Conference_Titel :
EuroHaptics Conference, 2007 and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. World Haptics 2007. Second Joint
Conference_Location :
Tsukaba
Print_ISBN :
0-7695-2738-8
DOI :
10.1109/WHC.2007.53
