Artificial Intelligence
Brain-Robot Interface for Controlling a Remote Robot Arm
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
IEEE Transactions on Robotics - Special issue on rehabilitation robotics
Linear dimensionality reduction using relevance weighted LDA
Pattern Recognition
Analysis of EEG mapping images to differentiate mental tasks in brain-computer interfaces
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation - Volume Part I
Visual evoked potential-based brain-machine interface applications to assist disabled people
Expert Systems with Applications: An International Journal
Assistive robot application based on an RFID control architecture and a wireless EOG interface
Robotics and Autonomous Systems
Internet browsing application based on electrooculography for disabled people
Expert Systems with Applications: An International Journal
Endogenous brain-machine interface based on the correlation of EEG maps
Computer Methods and Programs in Biomedicine
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This paper describes a Brain Computer Interface (BCI) based on electroencephalography (EEG) that allows control of a robot arm. This interface will enable people with severe disabilities to control a robot arm to assist them in a variety of tasks in their daily lives. The BCI system developed differentiates three cognitive processes, related to motor imagination, registering the brain rhythmic activity through 16 electrodes placed on the scalp. The features extraction algorithm is based on the Wavelet Transform (WT). A Linear Discriminant Analysis (LDA) based classifier has been developed in order to differentiate between the three mental tasks. The classifier combines through a score-based system four LDA-based models simultaneously. The experimental results with six volunteers performing several trajectories with a robot arm are shown in this paper.