@techreport{oai:bunka.repo.nii.ac.jp:00001975, author = {伊藤, 由美子 and 中込, 美代子 and 上岡, 玲子 and 水島, 浩 and 池田, 公信}, month = {Mar}, note = {When designing clothes to match the movement of the human body, it is vital that the extent of movement first be ascertained. However, existing 3D measurement systems are based on a standing posture, making it difficult to measure in postures of motion. Over the period of three years from FY2009, the author researched methods of measuring movement, with a view to ascertaining the movement of body surfaces closely linked to the production of functional garments. A light and portable 3D measuring device was introduced, experimental measurements were carried out on the human neck, and the precision of measurement was improved, while automatic software was also developed. Experiments to measure movement were also conducted using the plaster measurement method, and changes in the shape of body surfaces when at rest and in motion were compared by two-dimensionally expanding the movements of the neck and lower limbs. It also became possible to gauge the shape of the seat in the sitting posture. Furthermore, the use of polymer sensors made it possible to measure states of motion, since different voltages were output depending on the absolute value of sensor distortion. Large-stretch pants were actually fitted and a measurement experiment conducted on the knee joints. This research has made it possible to measure body surfaces in motion, and may be expected to have major application effects in the design of sportswear and other functional clothing., 人体の動きに適合する衣服設計において運動量の把握は必要不可欠であるが、現状の3D計測機は立位姿勢が基本となるため、運動姿勢での計測は困難であった。平成21年度から3年間で機能的な衣服製作に関係の深い体表の動きを見るための動態計測法を行った。軽量で移動可能な3D計測機を導入し、生体頚部の実験計測を実施し、計測精度を上げるとともに、自動計測ソフトを開発した。また石膏計測法での動態計測実験も行い、頚部と下肢部の動きを2次元展開することで静態と動態の体表形状の変化を比較した。座位姿勢の座面の形状をとることも可能となった。さらに高分子ポリマーセンサーを使用し、センサーの歪みの絶対値により異なる電圧を出力することから、運動状態の計測が可能となり、伸縮性大のパンツに実装し膝関節での計測実験をした。本研究の結果、動態における体表計測が可能となり、スポーツウエア等の機能的な衣服設計に高い活用効果があると期待できる。}, title = {人体形態の計測情報を基にした動態計測と機能衣服について}, year = {2012} }