Intuitive operability evaluation of robotic surgery using brain activity measurement to identify hand-eye coordination

Satoshi Miura*, Yo Kobayashi, Masatoshi Seki, Takehiko Noguchi, Masahiro Kasuya, Yuki Yokoo, Masakatsu G. Fujie

*この研究の対応する著者

研究成果: Conference contribution

8 被引用数 (Scopus)

抄録

Surgical robots have undergone considerable improvement in recent years, but the intuitive operability, representing user inter-operability, has not been quantitatively evaluated. Thus, we propose a method for measuring brain activity to determine intuitive operability in order to design a robot with intuitive operability. The objective of this paper is to clarify the angle between the endoscope and the manipulator that facilitates users perceiving the manipulator as part of their body. In the experiments, while subjects controlled the hand controller to position the tip of the virtual slave manipulator on the target in the surgical simulator, we measured the brain activity through brain imaging devices. We carried out the experiment a number of times with the virtual slave manipulator configured in a variety of ways. The results show that activation of the brain is significant with the slave manipulator configured such that the angles are slanted with respect to the horizontal. We conclude that the body image affects hand-eye coordination, which is related to visual and somatic sense feedback.

本文言語English
ホスト出版物のタイトル2012 IEEE International Conference on Robotics and Automation, ICRA 2012
出版社Institute of Electrical and Electronics Engineers Inc.
ページ4546-4552
ページ数7
ISBN(印刷版)9781467314039
DOI
出版ステータスPublished - 2012 1月 1
イベント 2012 IEEE International Conference on Robotics and Automation, ICRA 2012 - Saint Paul, MN, United States
継続期間: 2012 5月 142012 5月 18

出版物シリーズ

名前Proceedings - IEEE International Conference on Robotics and Automation
ISSN(印刷版)1050-4729

Conference

Conference 2012 IEEE International Conference on Robotics and Automation, ICRA 2012
国/地域United States
CitySaint Paul, MN
Period12/5/1412/5/18

ASJC Scopus subject areas

  • ソフトウェア
  • 制御およびシステム工学
  • 人工知能
  • 電子工学および電気工学

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