Back to Search
Start Over
RECOGNITION OF EXTRAVERSION LEVEL BASED ON HANDWRITING AND SUPPORT VECTOR MACHINES.
- Source :
- Perceptual & Motor Skills; Jun2012, Vol. 114 Issue 3, p857-869, 13p, 4 Charts, 2 Graphs
- Publication Year :
- 2012
-
Abstract
- This study investigated whether it is possible to train a machine to discriminate levels of extraversion based on handwriting variables. Support vector machines (SVMs) were used as a learning algorithm. Handwriting of 883 people (404 men, 479 women) was examined. Extraversion was measured using the Polish version of the NEO-Five Factor Inventory. The handwriting samples were described by 48 variables. The support vector machines were separately trained and tested for each sex, using 10-fold cross-validation. Good recognition accuracy (around .7) was achieved for 10 handwriting variables, different for men and women. The results suggest the existence of a relationship between handwriting elements and extraversion. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00315125
- Volume :
- 114
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Perceptual & Motor Skills
- Publication Type :
- Academic Journal
- Accession number :
- 83621051
- Full Text :
- https://doi.org/10.2466/03.09.28.PMS.114.3.857-869