書誌事項
- タイトル別名
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- 3-D Geometric Operation Interface Using Various-Shaped Elastic Objects as Input Tools
抄録
The authors have been studying a direct and intuitive 3-D geometric operation interface using a deformable real object as an input tool. To use various-shaped input tools other than parallelepiped ones as in our previous reports, this paper proposes a neural network learning algorithm to optimize number of units in the input layer as well as in the intermediate layers. The algorithm enables us to initially put surplus number of electric terminals to various-shaped block of elastic-conductive material to measure its deformation and then optimize the number by removing useless terminals. Also, we extend free form deformation so that is can be applicable to various (non-parallelepiped) shape by intermediately using a simplified control volume approximating the objective control volume by some parallelepipeds. The proposed ideas are implemented as a prototype interface system, and the efficacy and possibility of our approach are confirmed.
収録刊行物
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- 年次大会講演論文集
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年次大会講演論文集 2000.2 (0), 487-488, 2000
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390001206059535744
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- NII論文ID
- 110002522843
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- ISSN
- 24331325
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可