An Internal Model of the Human Hand Affects Recognition of Graspable Tools

  • Masazumi KatayamaEmail author
  • Yusuke Akimaru
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9950)


In this study, we validated a plausibility of a hypothesis that in the human brain an internal simulation of grasping contributes to tool recognition. Such an internal simulation must be performed by utilizing internal models of the human hand. An internal model corresponding to a geometrically transformed hand shape was retrained by an experimental paradigm we built. The retrained internal model of the dominant hand affected cognitive judgments of object size of tools used by the dominant hand and however did not influence these of tools used by the non-dominant hand. While, those results in the training condition of the non-dominant hand showed the reverse tendency of the former results. The above results indicate the plausibility of the hypothesis.


Graspable tool Recognition Internal model Human hand 



This research was partially supported by MEXT KAKENHI (C) No. 15K00200.


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Department of Human and Artificial Intelligent Systems, Graduate School of EngineeringUniversity of FukuiFukui-shiJapan

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