| [1] LAWSON B E, VAROL H A, GOLDFARB M. Standing stability enhancement with an intelligent powered trans-femoral prosthesis[J]. IEEE Transactions on Biomedical Engineering, 2011, 58(9):2617-2624.
[2] VANDEN A J, SAMOREZOV S, DAVIS B L, et al. Modeling and optimal control of an energy-storing prosthetic knee[J]. Journal of Biomechanical Engineering, 2012, 134(5):145-151.
[3] SHULTZ A H, LAWSON B E, GOLDFARB M. Running with a powered knee and ankle prosthesis[J]. IEEE Transactions on Neural System and Rehabilitation Engineering, 2015, 23(3):403-412.
[4] RIGNEY S, SIMMONS A, KARK L. Finite element analysis of a lower-limb running-specific prosthesis[C]//Australasian Congress on Applied Mechanics. Australia:[s. n.], 2014:297-305.
[5] 黄岩, 谢广明, 杨晓华, 等. 半被动双足机器人动态行走的位姿估算[J]. 北京大学学报:自然科学版, 2009, 45(4):565-571 HUANG Yan, XIE Guang-ming, YANG Xiao-hua, et al. Body state estimation in a quasi-passive bipedal robot during dynamic walking[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2009, 45(4):565-571
[6] 王启宁, 郑恩昊, 陈保君, 等. 面向人机融合的智能动力下肢假肢研究现状与挑战[J]. 自动化学报, 2016, 42(12):1780-1793 WANG Qi-ning, ZHENG En-hao, CHENG Bao-jun, et al. Recent progress and challenges of robotic lower-limb prostheses for human robot integration[J]. Acta Automatica Sinica, 2016, 42(12):1780-1793
[7] 杨鹏, 刘作军, 耿艳利, 等. 智能下肢假肢关键技术研究进展[J]. 河北工业大学学报, 2013, 42(1):76-80 YANG Peng, LIU Zuo-jun, GENG Yan-li, et al. Research advance on key technology of intelligent lower limb prosthesis[J]. Journal of Hebei University of Technology, 2013, 42(1):76-80
[8] 赵丽娜, 刘作军, 苟斌, 等. 基于隐马尔可夫模型的动力型下肢假肢步态预识别[J]. 机器人, 2014, 36(3):337-341 ZHAO Li-na, LIU Zuo-jun, GOU Bin, et al. Gait pre-recognition of dynamic lower limb prosthesis based on hidden Markov model[J]. Robot, 2014, 36(3):337-341
[9] HUANG H, ZHANG F, HARGROVE L J, et al. Contnuous locomotion-mode identification for prosthetic legs based on neuromuscular-mechanical fusion[J]. IEEE Transactions on Biomedical Engineering, 2011, 58(10):2867-2875.
[10] 喻洪流, 徐兆红, 卢博睿, 等. 基于Fuzzy-CMAC的人体假肢系统智能控制方法研究[J]. 中国生物医学工程学报, 2012, 31(1):83-88 YU Hong-liu, XU Zhao-hong, LU Bo-rui, et al. Study on intelligent control of human body prosthetic leg based on fuzzy-CMAC[J]. Chinese Journal of Biomedical Engineering, 2012, 31(1):83-88
[11] 陈国兴, 刘作军, 陈玲玲, 等. 假肢穿戴者跌倒预警系统设计[J]. 华中科技大学学报:自然科学版, 2015, 43(增1):294-297. CHEN Guo-xing, LIU Zuo-jun, CHEN Ling-ling, et al.Design of a stumble pre-warning system for lower limb amputees[J]. Journal of Huazhong University of Science and Technology:Natural Science Edition, 2015, 43(supple.1):294-297.
[12] 杨建坤. 大腿假肢穿戴者在滑倒过程中的平衡策略研究及其应用[D]. 北京:清华大学, 2006. YANG Jian-kun. Studies on human balance strategy of trans-femoral prosthes is users during slip gait and its application[D]. Beijing:Tsinghua University, 2006.
[13] 陈国兴, 耿艳利, 刘作军, 等. 假肢跌倒预警中基于相关性分析的模糊自适应反馈调节[J]. 机器人, 2015, 37(6):732-737 CHEN Guo-xing, GENG Yan-li, LIU Zuo-jun, et al. Fuzzy adaptive feedback regulation for stumble pre-warning of lower limb prosthesis based on the correlation analysis[J]. Robot, 2015, 37(6):732-737
[14] 刘磊, 杨鹏, 刘作军. 采用多核相关向量机的人体步态识别[J]. 浙江大学学报:工学版, 2017, 51(3):562-571 LIU Lei, YANG Peng, LIU Zuo-jun. Locomotion-mode using multiple kernel relevance vector machine[J]. Journal of Zhejiang University:Engineering Science, 2017, 51(3):562-571
[15] YOUNG A G, SIMON A M, HARGROVE L J. A training method for locomotion mode prediction using powered lower limb prostheses[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2014, 22(3):671-677.
[16] XIA J, CHANUSSOT J, DU P, et al. Rotation-based support vector machine ensemble in classification of hyperspectral data with limited training samples[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 54(3):1519-1531.
[17] 唐明珠, 阳春华, 桂卫华. 基于改进的QBC和CS-SVM的故障检测[J]. 控制与决策, 2012, 27(10):1489-1493 TANG Ming-zhu, YANG Chun-hua, GUI Wei-hua. Fault detection based on modified QBC and CS-SVM[J]. Control and Decision, 2012, 27(10):1489-1493
[18] 钟崴, 彭梁, 周永刚, 等. 基于小波包分析和支持向量机的锅炉结渣诊断[J]. 浙江大学学报:工学版, 2016, 50(8):1499-1506 ZHONG Wei, PENG Liang, ZHOU Yong-gang, et al. Slagging diagnosis of boiler based on wavelet packet analysis and support vector machine[J]. Journal of Zhejiang University:Engineering Science, 2016, 50(8):1499-1506
[19] 袁胜发, 褚福磊. 支持向量机及其在机械故障诊断中的应用[J]. 振动与冲击, 2007, 26(11):29-35 YUAN Sheng-fa, CHU Fu-lei. Support vector machines and its applications in machine fault diagnosis[J]. Journal of Vibration and Shock, 2007, 26(11):29-35
[20] 姜明辉, 袁绪川, 冯玉强. PSO-SVM的模型的构建与应用[J]. 哈尔滨工业大学学报, 2009, 41(2):169-172 JIANG Ming-hui, YUAN Xu-chuan, FENG Yu-qiang. Construction and application of PSO-SVM model[J]. Journal of Harbin Institute of Technology, 2009, 41(2):169-172
[21] 张涛, 张明辉, 李清伟, 等. 基于粒子群-支持向量机的时间序列分类诊断模型[J]. 同济大学学报:自然科学版, 2016, 44(9):1450-1457 ZHANG Tao, ZHANG Ming-hui, LI Qing-wei, et al. Time serious classfication diagnosis model based on partical swarm optimization and support vector machine[J]. Journal of Tongji University:Natural Science, 2016, 44(9):1450-1457
[22] DONOHO D L, JOHNSTONE J M. Ideal spatial adaptation by wavelet shrinkage[J]. Biometrika, 1994, 81(3):425-455. |
