Periodic Motion Control of Human Arm Movement Based on CPG model
In this paper, a Central Pattern Generator (CPG) model of a flexor and an extensor is developed, according to the experiments implemented in a crankrotation task. The drive torque which achieved the arm movement is obtained by six muscles models consisted of outputs of the CPG model. The parameters of CPG model is optimized by minimum torque-change criterion and genetic algorithm. Finally, the simulation results are compared with to the experimental data and the CPG model of six muscles are discussed.
Central pattern generator Periodic motion control Six muscles models Minimum torque change criterion Genetic algorithm
Jiong Wu Rubin Wang Zhikang Zhang Jianting Cao
School of Information Science and Engineering, Institute of Cognitive Neurodynamics, East China University of Science and Technology, Shanghai 200237, China
国际会议
The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)
杭州
英文
493-500
2009-11-15(万方平台首次上网日期,不代表论文的发表时间)