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Recent face recognition techniques have achieved remarkable successes in fast face retrieval on huge image datasets. But the performance is still limited when large illumination, pose, and facial expression variations are presented. In contrast, the human brain has powerful cognitive capability to recognize faces and demonstrates robustness across viewpoints, lighting conditions, even in the presence...
Brain computer interfaces based on P300 and sensory-motor rhythms are widely studied and recent advances show some interest in the combination of the two. In this paper, typical P300 paradigm is modified by adding animation guide of the finger press as a stimulus and by using different response strategies (silent counting and actual/imaginary left or right index finger press following the animation)...
The article presents a new method for motor-related EEG recognition which comprehensively optimizes the frequency-time-space features in a user-specific way. The method creates optimized time and frequency grids and adaptively selects channels for common spatial pattern (CSP) filters to enhance its power. The results show that the optimized features denotes a specific perspective to visualize frequency-time-spatial...
A brain-computer interface (BCI) is a communication system that helps locked-in patients to communicate with other people by translating brain activities into machine/computer commands. This paper introduces a BCI instant messaging system (i.e. BCI messenger), which is further work of the P300-based Chinese typewriter developed in the preceding research. The BCI messenger can serve as a daily communication...
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