|Table of Contents|

Gait movement based on central pattern generator network

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2014年02期
Page:
309-312
Research Field:
Publishing date:

Info

Title:
Gait movement based on central pattern generator network
Author(s):
Zou Jinhui12Shi lei12Huang Guoyong12Wang Xiaodong12
1.Faculty of Information Engineering and Automation,Kunming University of Science and Technology, Kunming 650500,China; 2.Engineering Research Center for Mineral Pipeline Transportation YN,Kunming 650500,China
Keywords:
nonlinear oscillators central pattern generators neurons gait movement
PACS:
TP242
DOI:
-
Abstract:
The simple Rayleigh oscillator is taken as the central pattern generator(CPG)controller to establish the network model.In view of the shortage on descripting the multi-neuron coupling aspect,a neuron is added to the single neuron and double neuron model to establish a three neuron model,and it is used for simulating hip joints,knee joints and ankle joints in the gait movement process.The simulation results show that the Rayleigh oscillator-built CPG can simulate many physiological characteristics of neurons and can be used to establish neural network model.

References:

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Last Update: 2014-04-30