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With the development of brain-computer interface (BCI) technology, researchers are now attempting to put current BCI techniques into practical application. This paper presents an environmental controller using a BCI technique based on steady-state visual evoked potential. The system is composed of a stimulator, a digital signal processor, and a trainable(More)
This paper presents a brain-computer interface (BCI) that can help users to input phone numbers. The system is based on the steady-state visual evoked potential (SSVEP). Twelve buttons illuminated at different rates were displayed on a computer monitor. The buttons constituted a virtual telephone keypad, representing the ten digits 0-9, BACKSPACE, and(More)
OBJECTIVE To classify the EEG data recorded in mu rhythm-based cursor control experiments with 4 possible choices. METHODS The algorithm included preprocessing, feature extraction, and classification. Two spatial filters, common average reference and common spatial subspace decomposition, were used in preprocessing to improve the signal-to-noise ratio,(More)
This paper develops a phase compensation method for resonant control. Phase compensation enables resonant control to achieve high tracking accuracy, wide stability range and fast error convergence rate. A simple and efficient phase compensation resonant control scheme is proposed for a single-phase PWM inverter. Experiment results are provided to(More)
—Redundant flux-switching permanent-magnet (R-FSPM) motors are a new class of brushless machines having magnets in the stator, offering high power density, simple and robust rotor structure, and good thermal dissipation conditions. This paper proposes a new control strategy for fault-tolerant operation of the R-FSPM motor drive considering the capability(More)