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In this article, the database of sEMG corresponding to the six gestures with two,four and eight channels is collected and established through increasing the number of surface electrode muscle telecommunication reasonably.Two-channel method used in the previous studies in laboratory is improved to make the method suitable for four-channel and eight-channel.On this basis ,the activity of sEMG is detected,the...
According to the characteristic that the surface electromyogram signal (sEMG) is very weak and influenced by noise vulnerability, this paper proposes a new method that uses the unsupervised Kohonen neural network weights optimized to determine the order of the reconstruction matrix during the process of the noise reduction in singular value decomposition (SVD) effectively. First, let the sEMG collected...
The artificial neural network is one of the most widely used methods in the multi-channel sEMG pattern recognition. According to the sEMG recognition rate is low, this paper chooses the GRNN neural network, which is effective to solve nonlinear problem, as the classifier; and then by combining it with the Adaboost algorithm to form a strong classifier. In order to guarantee the correct rate of Adaboost...
Based on the rough set theory and variable granular theorem, a kind of decision information system of off-line handwritten Chinese character recognition is constructed. The performance index entropy in this decision information system is defined in this paper. According to the definition of attribute relative significance, the feature attributes are classified, that the representation of feature attributes...
In order to develop the service outsourcing industry for Chinese economy, a large amount of professional staff need to be supplied to the relevant enterprises. Therefore, the universities build up the corresponding major and an innovative education system to train the students for the outsouring industry which is also called international service engineering (ISE). The education system consists of...
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