Japanese Janken recognition by support vector machine based on electromyogram of wrist
D Hiraoka, S Ito, M Ito, M Fukumi - 2016 8th International …, 2016 - ieeexplore.ieee.org
Recent years, biosignal is receiving attention as a tool of human interface. Above all,
electromyogram (EMG) has already applied to many researches. In this study, we propose a …
electromyogram (EMG) has already applied to many researches. In this study, we propose a …
[PDF][PDF] Novel approximate statistical algorithm for large complex datasets
Y Takeuchi, M Ito, M Fukumi - International Journal of …, 2012 - repo.lib.tokushima-u.ac.jp
In the field of pattern recognition, principal component analysis (PCA) is one of the most well-
known feature extraction methods for reducing the dimensionality of high-dimensional …
known feature extraction methods for reducing the dimensionality of high-dimensional …
Novel supervised feature extraction algorithm based on iterative calculations
Y Takeuchi, M Ito, K Kashihara… - 2011 IEEE International …, 2011 - ieeexplore.ieee.org
In pattern recognition, the principal component analysis (PCA) is one of the most famous
feature extraction methods for dimensionality reduction of high-dimensional datasets …
feature extraction methods for dimensionality reduction of high-dimensional datasets …
Supervised iterative learning algorithm for eigenspace models
Y Takeuchi, M Ito, K Kashihara… - SICE Annual …, 2011 - ieeexplore.ieee.org
In pattern recognition, the principal component analysis (PCA) is one of the most famous
feature extraction methods for dimensionality reduction of high-dimensional datasets …
feature extraction methods for dimensionality reduction of high-dimensional datasets …
Supervised feature extraction algorithm by iterative calculations
Y Takeuchi, M Ito, K Kashihara… - The 2nd International …, 2011 - ieeexplore.ieee.org
In pattern recognition, the principal component analysis (PCA) is one of the most famous
feature extraction methods for dimensionality reduction of high-dimensional datasets …
feature extraction methods for dimensionality reduction of high-dimensional datasets …
Incremental Learning Method for Biological Signal Identification
T Oyama, S Karungaru, S Tsuge, Y Mitsukura… - … : ICBME 2008 3–6 …, 2009 - Springer
There is electromyogram (EMG) as one of biological signals generated along with motions
of the human body. This EMG has information corresponding to condition of power …
of the human body. This EMG has information corresponding to condition of power …