Digital Human

  We propose a method to synthesize subject-specific finger model from geometric database of adult fingers and representative dimensions of the subjects measured by a caliper. Weighted sum of the principal features is computed in order to obtain finger geometry of specific subject. The weights are determined by numerical optimization so that SSD of the representative dimensions is minimized. The result of geometry synthesis shows good agreement both in adult and child fingers.