EMG-based control of a multi-joint robot for operating a glovebox

Toshio Tsuji, Taro Shibanoki, Keisuke Shima

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)


This chapter describes a control method for a multi-joint robotic manipulator using Electromyogram (EMG) signals for operating a glovebox. The system uses a Probabilistic Neural Network (PNN) to estimate the user's intended motion from EMG patterns, and generates a control command for the glovebox and robotic manipulator corresponding to the estimated motions. The user can therefore control the manipulator as well as various functions of the glovebox system through his/her EMG signals while performing some manual operations through gloves. With this system, the authors produce intuitive control of the glovebox with the robotic manipulator. The authors confirm the effectiveness of the proposed system with an experiment using the developed prototype.

Original languageEnglish
Title of host publicationHandbook of Research on Advancements in Robotics and Mechatronics
PublisherIGI Global
Number of pages17
ISBN (Electronic)9781466673885
ISBN (Print)1466673877, 9781466673878
Publication statusPublished - Dec 31 2014
Externally publishedYes

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science(all)


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