Synthesizing the Sit-to-stand Movement Using Fuzzy Logic and a Simple Biomechanical Model

Authors

  • Robert K. Prinz University of Victoria
  • Stephen W. Neville University of Victoria
  • Nigel J. Livingston University of Victoria

Abstract

In this paper, the sit-to-stand movement was artificially reproduced using a fuzzy-logic based control strategy and a simple biomechanical model . Not for the purpose of exactly replicating a healthy individual’s movement, but rather for the purpose of directing an assistive device which might guide the mobility impaired individual through the sit-to-stand process. An explicit set of movement trajectories was not used in the movement planning process; instead, stability and goal-driven controllers provided the necessary motion directive. This approach resulted in a slow and controlled sit-to-stand movement.

Author Biographies

Robert K. Prinz, University of Victoria

CanAssist

Stephen W. Neville, University of Victoria

Department of Electrical and Computer Engineering

Nigel J. Livingston, University of Victoria

CanAssist

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Published

2010-06-15

How to Cite

[1]
R. K. Prinz, S. W. Neville, and N. J. Livingston, “Synthesizing the Sit-to-stand Movement Using Fuzzy Logic and a Simple Biomechanical Model”, CMBES Proc., vol. 33, no. 1, Jun. 2010.

Issue

Section

Academic