The concepts of muscle activity generation driven by upper limb kinematics.

Journal: Biomedical engineering online
Published Date:

Abstract

BACKGROUND: The underlying motivation of this work is to demonstrate that artificial muscle activity of known and unknown motion can be generated based on motion parameters, such as angular position, acceleration, and velocity of each joint (or the end-effector instead), which are similarly represented in our brains. This model is motivated by the known motion planning process in the central nervous system. That process incorporates the current body state from sensory systems and previous experiences, which might be represented as pre-learned inverse dynamics that generate associated muscle activity.

Authors

  • Marie D Schmidt
    Faculty of Electrical Engineering and Information Technology, Ruhr-University Bochum, Bochum, Germany. Marie.Schmidt@ruhr-uni-bochum.de.
  • Tobias Glasmachers
  • Ioannis Iossifidis