Modeling and personal recognition of calligraphy task using haptic data

Abstract

Recently, the aging of workers and craftsmen are becoming a great issue because of low birthrate and longevity. The advanced skills of craftsmen is a precious property. The “motion database” that realizes recording, searching, and reproduction of human motions is considered to be effective in overcoming this problem. By saving information about advanced techniques in the motion database, these techniques can be reproduced anytime, anywhere. By copying the technique of motion database to robot, technical tradition and power assist are possible.