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西北工业大学 国内
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Surface electromyography–based hand movement recognition using the Gaussian mixture model, multilayer perceptron, and AdaBoost method
Shengli Zhou, Kuiying Yin, Fei Fei,
Ke Zhang
航天学院
Northwestern Polytechnical University Xian
Nanjing Research Institute of Electronics Technology
Nanjing University of Aeronautics and Astronautics
科研成果
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期刊稿件
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同行评审
23
引用 (Scopus)
综述
指纹
指纹
探究 'Surface electromyography–based hand movement recognition using the Gaussian mixture model, multilayer perceptron, and AdaBoost method' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Engineering
Adaboost
100%
Perceptron
100%
Gaussian Mixture Model
100%
Classification Accuracy
60%
Feature Extraction
40%
Domain Feature
40%
Experimental Result
20%
Time Domain
20%
Frequency Domain
20%
Signal-to-Noise Ratio
20%
Absolute Value
20%
Computational Load
20%
Muscle Activity
20%
Prosthetics
20%
Computer Science
Multilayer Perceptron
100%
Gaussian Mixture Model
100%
Classification Accuracy
60%
Feature Extraction
40%
Domain Feature
40%
Electromyography
40%
Neural Network
20%
Experimental Result
20%
Noise-to-Signal Ratio
20%
Frequency Domain
20%
Computational Load
20%
Ensemble Method
20%
Muscle Activity
20%