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In this paper, we propose a method for detecting eye movements based on EOG signal. The EOG signal can be process separately through horizontal and vertical channel from the surface muscle around the eye. This method consists of 2 main processes; feature extraction and classification. Feature extraction is implemented from DCT coefficients of the EOG signals and impulse response of FIR system. The...
We propose an on-line signature verification method based on finite impulse response(FIR) system characterizing velocity and direction change of barycenter trajectory. First, the discrete cosine transforms (DCTs) of the characteristics are used to reduce fluctuation and extract the feature of handwriting in signing process. Then the signature verification system is realized by the three FIR subsystems...
In this paper on-line writer identification problem is reduced to FIR system identification problem. Then person can be identified by evaluating the difference between the impulse responses of the FIR system for the reference and the person to be identified. The FIR system is realized by considering the DCTs of the horizontal and vertical components of the pen-tip movement with reduced fluctuation...
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