EigenNail法における複数識別器による指先押下認識の改善とそのメニュー選択インタフェース応用に向けた基礎検討

概要

論文の詳細を見る
We introduce a fingertip touch recognition technique for general surfaces and a technique that estimates the direction of force on the basis of processed fingertip images captured by an overhead camera. When a finger presses on a hard surface, the distribution of color in the fingernail changes in accordance with the force applied. The first technique classifies the fingertip state ("press" or "non-press") on the basis of the fingernail color information in the captured images. We use multiple EigenNail classifiers to achieve accurate classification of fingertip state under various lighting conditions. The second technique estimates the force direction by measuring the displacement of the fingertip. Through user studies, we demonstrated the feasibility of the proposed fingertip touch recognition techniques and were able to produce design guidelines for a pointing interface based on the proposed techniques.
The Institute of Image Information and Television Engineersの論文