Knowledge Commons of Institute of Automation,CAS
Feasibility of NeuCube Spiking Neural Network Architecture for EMG Pattern Recognition | |
Peng, Long1; Hou, Zengguang1; Kasabov, Nikola2; Bian, Guibin1; Vladareanu, Luige3; Yu, Hongnian4 | |
2015-08 | |
会议名称 | 2015 International Conference on Advanced Mechatronic Systems (ICAMechS) |
会议录名称 | Technical Poster Session |
会议日期 | August 22-24, 2015 |
会议地点 | Beijing |
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. |
关键词 | Neucube Architecture Spiking Neural Network Emg Pattern Recognition Hand Motions |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/12804 |
专题 | 复杂系统认知与决策实验室_先进机器人 |
通讯作者 | Hou, Zengguang |
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 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
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],2015. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Feasibility of NeuCu(522KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 |
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