自动化技术 |
|
|
|
|
基于多核学习的下肢肌电信号动作识别 |
佘青山, 孟明, 罗志增, 马玉良 |
杭州电子科技大学 自动化学院,浙江 杭州 310018 |
|
Electromyography movement recognition of lower limb based on
multiple kernel learning |
SHE Qingshan, MENG Ming, LUO Zhizeng, MA Yuliang |
College of Automation, Hangzhou Dianzi University, Hangzhou 310018, China |
引用本文:
佘青山, 孟明, 罗志增, 马玉良. 基于多核学习的下肢肌电信号动作识别[J]. J4, 2010, 44(7): 1292-1297.
SHE Jing-Shan, MENG Meng, LUO Zhi-Ceng, MA Yu-Liang. Electromyography movement recognition of lower limb based on
multiple kernel learning. J4, 2010, 44(7): 1292-1297.
链接本文:
http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2010.07.011
或
http://www.zjujournals.com/eng/CN/Y2010/V44/I7/1292
|
[1] VAPNIK V N. The nature of statistical learning theory [M]. 2nd ed. New York: SpringerVerlag, 1999: 123167.
[2] BURGES C J C. A tutorial on support vector machines for pattern recognition [J]. Knowledge Discovery and Data Mining, 1998, 2(2): 121167.
[3] CASTELLINI C, SMAGT P. Surface SEMG in advanced hand prosthetics [J]. Biological Cybernetics, 2009, 100(1): 3547.
[4] LUCAS M F, GAUFRIAU A S, PASCUAL S. Multichannel surface SEMG classification using support vector machines and signalbased wavelet optimization [J]. Biomedical Signal Processing and Control, 2008, 3(2): 169174.
[5] 席旭刚,李仲宁,罗志增.基于相关性分析和支持向量机的手部肌电信号动作识别[J].电子与信息学报,2008,30(10): 23152319.
XI Xugang, LI Zhongning, LUO Zhizeng. SEMG movement pattern recognition of hand based on correlation analysis and SVM [J]. Journal of Electronics and Information Technology, 2008, 30(10): 23152319.
[6] 崔建国,李一波,李忠海,等.基于小波包与支持向量机的复杂信号模式识别[J].数据采集与处理,2008,23(2): 163167.
CUI Jianguo, LI Yibo, LI Zhonghai, et al. Complicated signal pattern recognition based on wavelet packet and support vector machine [J]. Journal of Data Acquisition and Processing, 2008, 23(2): 163167.
[7] 张军峰,胡寿松.基于多重核学习支持向量回归的混沌时间序列预测[J].物理学报,2008,57(5): 27082713.
ZHANG Junfeng, HU Shousong. Chaotic time series prediction based on multikernel learning support vector regression [J]. Acta Physica Sinica, 2008, 57(5): 27082713.
[8] LANCKRIET G, CRISTIANINI N, GHAOUI L E, et al. Learning the kernel matrix with semidefinite programming [J]. Journal of Machine Learning Research, 2004, 5(1): 2772.
[9] SONNENBURG S, RATSCH G G, SCHAFER C, et al. Large scale multiple kernel learning [J]. Journal of Machine Learning Research, 2006, 7(1): 15311565.
[10] RAKOTOMAMONJY A, BACH F R, GRANDVALET S Y. SimpleMKL [J]. Journal of Machine Learning Research, 2008, 9(1): 24912521.
[11] LANCKRIET G, BIE T B, CRISTIANINI N, et al. A statistical framework for genomic data fusion [J]. Bioinformatics, 2004, 20(16): 26262635.
[12] 张军峰,胡寿松.基于多重核学习支持向量机的歼击机故障诊断[J].东南大学学报:自然科学版,2007,37(S1): 15.
ZHANG Junfeng, HU Shousong. Fighter fault diagnosis based on multiple kernel learning SVMs [J]. Journal of Southeast University: Natural Science Edition, 2007, 37(S1): 15.
[13] OSKOEI M A, HU H S. Support vector machinebased classification scheme for myoelectric control applied to upper limb [J]. IEEE Transactions on Biomedical Engineering, 2008, 55(8): 19561965. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|