2A1-A27 モーションキャプチャデータからの手動作再現のための個人の手モデル生成 : 計測項目と表皮生成時の最適化指標の改良

概要

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The authors have proposed the method to build an individual hand model that consists of a surface skin and an inside link, which could be used to reconstruct hand posture from motion capture (MoCap) data in [3] from a palmar side photo by image scanner simultaneously with marker positions by MoCap. The system estimates joint centers based on the regression analysis derived from MR images and generates individual surface skin by deforming a generic model to realize the measured dimensions. This report revises dimensions to be measured and the performance index to be minimized when generating an individual surface skin. The proposed system is validated through the experiment to build four subjects' hand models.
一般社団法人日本機械学会の論文