Feasibility of NeuCube Spiking Neural Network Architecture for EMG Pattern Recognition

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进机器人控制团队

	Feasibility of NeuCube Spiking Neural Network Architecture for EMG Pattern Recognition
	Peng, Long1 ; Hou, Zengguang1 ; Kasabov, Nikola 2; Bian, Guibin1 ; Vladareanu, Luige 3; Yu, Hongnian 4
	2015-08
会议名称	2015 International Conference on Advanced Mechatronic Systems (ICAMechS)
会议日期	August 22-24, 2015
会议地点	Beijing
关键词	NeuCube architecture spiking neural network EMG pattern recognition hand motions
通讯作者	Hou, Zengguang
英文摘要	Multichannel electromyography (EMG) signals have been used as human-machine interface (HMI) for the control of pattern-recognition based prosthetic system in recent years. This paper is a feasibility analysis of using recently proposed NeuCube spiking neural network (SNN) architecture for a 6-class recognition problem of hand motions. NeuCube is an integrated environment, which uses SNN reservoir and dynamic evolving SNN classifier. NeuCbube has the advantage of processing complex spatio-temporal data. The preliminary experiments show that Neucube is more efficient for EMG classification than commonly used machine learning techniques since it achieves better accuracy as well as consistent classification outcomes. The performance of NeuCube combined with TD features reaches up to 95.33% accuracy after a careful selection of the features. This paper demonstrates that NeuCube has the potential to be employed in practical applications of myoelectric control.
会议录	Technical Poster Session
内容类型	会议论文
源URL	[http://ir.ia.ac.cn/handle/173211/12804]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队
作者单位	1.Institute of Automation, Chinese Academy of Sciences 2.Knowledge Engineering and Discovery Research Institute, Auckland University of Technology 3.Institute of Solid Mechanics, Romanian Academy 4.School of Design, Engineering & Computing, Bournemouth University
推荐引用方式 GB/T 7714	Peng, Long,Hou, Zengguang,Kasabov, Nikola,et al. Feasibility of NeuCube Spiking Neural Network Architecture for EMG Pattern Recognition[C]. 见:2015 International Conference on Advanced Mechatronic Systems (ICAMechS). Beijing. August 22-24, 2015.