Abstract
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 Multiple PCA to improve recognition accuracy for EMG. From results of computer simulation, it is shown that our approach is effective for improvement in recognition accuracy and speed.
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References
Hashimoto, K., Endo, T.: How to Inspect to Vital Function. (in Japanese)Japan publishing service (1983)
Vaughan, H.G., Costa, L.D., Gilden, L., Schimmel, H.: Identification of Sensory And Motor Components of Cerebral Activity in Simple Reaction Time Tasks. In: Proc. 73rd, Conf. Amer. Psychol. Ass. vol. 1, pp. 179–180 (1965)
Matsumura, Y., Fukumi, M., Akamatsu, N.: Recognition of EMG Signal Patterns by Neural Network. In: ICONIP 2002 Workshop Proceeding (2002)
Partridge, M., Calvo, R.: Fast dimensionality reduction and Simple PCA. IDA 2(3), 292–298 (1997)
Hearts, J., Krogh, A., Palmer, R.G.: Introduction to The Theory of Neural Computation. Addison-Wesley Publishing Company, Reading (1991)
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© 2004 Springer-Verlag Berlin Heidelberg
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Matsumura, Y., Fukumi, M., Akamatsu, N., Takeda, F. (2004). Wrist EMG Pattern Recognition System by Neural Networks and Multiple Principal Component Analysis. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_120
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DOI: https://doi.org/10.1007/978-3-540-30132-5_120
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23318-3
Online ISBN: 978-3-540-30132-5
eBook Packages: Springer Book Archive