The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The paper presents an on-line brain-computer interface (BCI) based on visual evoked potential (VEP) P300. The BCI is applied to control a multi-DOF manipulator. This BCI system includes five modules which are visual stimulator, signal acquisition, data processing, communication and motion control of manipulator. Stimulation program and experimental scheme are designed based on LabVIEW platform and...
The research designed a brain-computer interface (BCI) system based on the steady state VEP potential (SSVEP). It used the wavelet packet decomposition technology to extract feature. Comparing with the FFT, this method could avoid the spectrum leakage and improve the information transmission rate. A SSVEP-based controlling system of multi-DoF manipulator was presented in this paper on the basis of...
Acoustic emission (AE) is a new approach to rub-impact recognition. The fuzzy entropy is introduced to analyze the effectiveness of the features, and the method of fuzzy comprehensive evaluation combining effectiveness analysis is proposed to acoustic emission recognition. Duration, average amplitude, maximum amplitude, dynamic range of amplitude and the first four nodes energies of the reconstructing...
Because of excellent capability of description of local texture, local binary patterns (LBP) have been applied in many areas. In this paper, we enhance the classical LBP method from three aspects for facial expression recognition: image data, extracting features and the way of combining all these features. At first, we adopt wavelet to decomposed images into four kinds of frequency images from which...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.