EEG Based Brain-Computer Interface System Using Time-multiplexing and Bio-Feedback
نویسندگان
چکیده
منابع مشابه
Temporal Analysis of EEG patterns in a bio- feedback based Brain Computer Interface
This paper describes the development of a brain computer interface. The system allows the user to control a game character in a 3D virtual environment, as well as control a basic ‘Pong like’ bar in a simple 2D application. The user will have to adapt their thought patterns to be consistent, and to be able to successfully control the game. As the user moves through the game, various methods of b...
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Brain-Computer Interface (BCI) has added a new value to efforts being made under human machine interfaces. It has not only introduced new dimensions in machine control but the researchers round the globe are still exploring the possible uses of such applications. BCIs have given a hope where alternative communication channels can be created for the persons having severe motor disabilities. This...
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Brain-Computer Interfaces (BCIs) are communication systems, which enable users to send commands to computers by using brain activity only; this activity being generally measured by Electroencephalography (EEG). BCIs are generally designed according to a pattern recognition approach, i.e., by extracting features from EEG signals, and by using a classifier to identify the user’s mental state from...
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The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...
متن کاملEEG Based Brain Computer Interface Hand Grasp Control: Feature Extraction Method MTCSP
Brain-Computer Interfaces (BCIs) are communication systems, which enable users to send commands to computers by using brain activity only; this activity being generally measured by Electroencephalography (EEG). BCIs are generally designed according to a pattern recognition approach, i.e., by extracting features from EEG signals, and by using a classifier to identify the user’s mental state from...
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ژورنال
عنوان ژورنال: Journal of Sensor Science and Technology
سال: 2004
ISSN: 1225-5475
DOI: 10.5369/jsst.2004.13.3.236