NDLI: An on-line BCI system for hand movement control using real-time recurrent probabilistic neural network

Content Provider	IEEE Xplore Digital Library
Author	Ahmadi, M. Erfanian, A.
Copyright Year	2009
Description	Author affiliation: Brain-Computer Interface Laboratory, Neural Technology Research Center, Department of Biomedical Engineering, Iran University of Science and Technology (IUST), Tehran, Iran (Ahmadi, M.; Erfanian, A.)
Abstract	This paper presents a new EEG-based Brain-Computer Interface (BCI) for on-line controlling the hand movement in a virtual reality environment. The goal of this research is to develop an interaction technique that will allow the BCI to be effective in real-world scenarios for hand grasp control. For this purpose, two classifiers are designed. The first classifier which is based on the imagination of right-hand movement is for controlling the hand grasping, holding and opening. The second classifier, which is based on the imagination of left-hand movement is designed for error correction and activating the first classifier. One important issue in developing an on-line BCI is the robust and accurate classification of EEG signal which is characterized with a time-varying distribution. In this work, we present a real-time recurrent probabilistic neural network for classifying the EEG signals. The results show that the subjects were able to achieve an accuracy more than 80% during the first session of experiment without off-line training and 73%–91% during the last session using single-trial classification with no adaptation.
Starting Page	367
Ending Page	370
File Size	532324
Page Count	4
File Format	PDF
ISBN	9781424420728
DOI	10.1109/NER.2009.5109309
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-29
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Recurrent neural networks probabilistic neural network brain-computer interface (BCI) Grasping Control systems Electroencephalography subject training Biological neural networks electroencephalogram (EEG) Neural networks Virtual reality Error correction on-line training Brain computer interfaces
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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