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Mechanomyographic (MMG) signal for prosthetic control has been investigated in recent years and encouraging results in hand-motion patterns identification have been achieved. In this paper, only two accelerometer sensors were used to record the MMG signal in the forearm of fourteen able-bodied people. A kernel generalized discriminant analysis and three linear dimension reduction techniques were applied...
This paper investigates the informativeness of some popular visual technical patterns among technical practitioners in China's stock market, which are quantitatively defined and automatically recognized using a nonparametric kernel regression method. By comparing the unconditional empirical distribution of daily returns to the distribution of the returns that follow these technical patterns, we find...
A Mechanomyography (MMG) based hand-motion patterns recognition approach was proposed in this paper. With the MMG signal acquired in the upper arm via a single sensor, eleven original features were extracted, and they were further processed by principal components analysis (PCA) in order to reduce the dimension of the feature space. Quadratic discriminant analysis (QDA) was used for four hand-motion...
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