成果報告書詳細
管理番号20150000000441
タイトル*平成26年度中間年報 SIP(戦略的イノベーション創造プログラム) 革新的設計生産技術 リアクティブ3Dプリンタによるテーラーメイドラバー製品の設計生産と社会経済的な価値共創に関する研究開発(1)
公開日2015/7/18
報告書年度2014 - 2014
委託先名独立行政法人産業技術総合研究所
プロジェクト番号P14030
部署名ロボット・機械システム部
和文要約
英文要約Title: Research on Innovative Design/Manufacturing Methodology of Tailor-made Rubber Products and Socio-Economic Value Co-Creation with Reactive 3D printer (FY2014-FY2015) FY2014 Annual Report

Prior to conducting running measurement at retail stores, precise measurement system for running motion was constructed by adding one force plate to the existing motion capture system at Digital Human Research Center, National Institute of Advanced Industrial Science and Technology. Articulated whole body motion and ground reaction force during running can be measured by using this experimental setup. Also, we have developed two technologies for conducting sensory and motor simulation, modeling technology of foot shape and articulated motion (time-series joint angles). As for the former one, medical image processing and†statistical geometry analysis†were implemented for introducing individual difference of foot shape into three dimensional finite element analysis of contact between foot and shoe sole. By using this technology it is possible to (1) measure individual differences in foot shape from†medical image by computing and comparing the gradient of image intensity, (2) extract principal features of foot shape by conducting statistical analysis for the measured individual differences, and (3) construct database of foot shape including geometry of internal structure such as bones from the extracted principal features. This database enables us to synthesize subject-specific three dimensional foot shapes from medical image or few representative dimensions (lead user), and to synthesize arbitrary representative foot shape such as an average or 95%ile (general user). As for the latter one, statistical waveform analysis was implemented for synthesizing arbitrary running motion from articulated whole body motion obtained from the running measurement system. By using this technology it is possible to (1) extract principal features in the wave form by conducting statistical analysis for the difference in the wave forms, and (2) construct database of running motion from the extracted principal features. This database enables us to†synthesize subject-specific running motion from few observations from simple sensors (lead user),†and to†synthesize arbitrary representative running motion such as an average motion (general user).
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