Wrist motion pattern recognition system by EMG signals

被引：0

作者：

Matsumura, Y ^{[1
]}

Fukurni, M ^{[1
]}

Akamatsu, N ^{[1
]}

机构：

[1] Univ Tokushima, Fac Engn, Tokushima 7708506, Japan

来源：

KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS | 2005年 / 3681卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we aim for construction of high-speed and high-accurate system using Fast Fourier Transform (FFT) for feature extraction, Simple-PCA (SPCA) for feature compression, and a neural network (NN) for recognition. In particular, we present a novel method based on Canonical Discriminant Analysis (CDA) to improve recognition accuracy for EMG. From results of computer simulation, it is shown that our approach is effective for improvement in recognition accuracy.

引用

页码：611 / 617

页数：7

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