把持運動において対象物の画像情報の変更が手形状計算へ与える影響 Influence of Processed Visual Information of Objects on Computation of Hand Shapes in Human Grasping Movements

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著者

    • 福田 浩士 FUKUDA Hiroshi
    • 豊橋技術科学大学情報工学系システム応用研究室 Department of Information and Computer Sciences, Toyohashi University of Technology
    • 福村 直博 FUKUMURA Naohiro
    • 豊橋技術科学大学情報工学系システム応用研究室 Department of Information and Computer Sciences, Toyohashi University of Technology
    • 宇野 洋二 UNO Yoji
    • 豊橋技術科学大学情報工学系システム応用研究室 Department of Information and Computer Sciences, Toyohashi University of Technology

抄録

From the viewpoint of computational theory, it has been postulated herein that certain properties of objects are extracted from their visual images for visuo-motor transformation in human grasping movements. To examine the computational feasibility of this hypothesis, a five-layer neural network model has been constructed for transforming the visual images of objects into the prehensile hand shape. After sufficient learning, the property information corresponding to the size and shape of objects was extracted in the third layer. The values of the third-layer and output-layer units changed widely for shadingless images and only slightly for blurred images, in comparison with the original images. Essentially the same results were obtained from a psychophysical experiment conducted on human grasping movements with the same images (original, shadingless and blurred) as those used in the neural network study, thus supporting the plausibility of the present computational hypothesis.

収録刊行物

  • 日本神経回路学会誌 = The Brain & neural networks

    日本神経回路学会誌 = The Brain & neural networks 7(3), 79-89, 2000-09-05

    Japanese Neural Network Society

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各種コード

  • NII論文ID(NAID)
    10008841716
  • NII書誌ID(NCID)
    AA11658570
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    1340766X
  • データ提供元
    CJP書誌  J-STAGE 
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