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The N170 component of EEG evoked by visual words is an index of perceptual expertise for the visual word across different writing systems. In the present study, we investigated whether these N170 markers for Chinese, a very complex script, could emerge quickly after short-term learning (∼100min) in young Chinese children, and whether early writing experience can enhance the acquisition of these neural...
Software aging is a severe test on the reliability of the software. In this paper, we present a method of nonlinear autoregressive models with exogenous inputs to detect the aging phenomenon of the software system. This method considered the relationship between multivariable and the influence of the delay of historical data. The experimental analysis shows that, using the NARX model to detect fault...
Considering the simplicity and fast training speed of Haar-like features, the high detecting precision of HOG features, a combined method is proposed on the basis of the two features. Several rectangular features which can describe local human characteristics based on original features are added. The combined method can retain the precision of HOG features and increase the speed of detection at the...
Gait recognition is a relatively new biometric identification technology for human identification, surveillance and other applications. A novel gait recognition algorithm based on fuzzy principal component analysis (FPCA) for gait energy image(GEI) is proposed. Firstly, the original gait sequence is preprocessed and gait energy image is obtained. Secondly, the eigenvalues and eigenvectors are extracted...
An embedded hidden Markov models (e-HMM) gait recognition scheme based on gait energy image (GEI) is proposed. First, the mean GEI is calculated from gait periodic, then we analyze the mean GEI regions, making use of the two dimensional discrete cosine transform (2D-DCT) to transfer the regions into observation vector, and complete the e-HMM training and humans recognition. We compare the proposed...
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