NDLI: Reading detection based on EEG signal analysis

Content Provider	IEEE Xplore Digital Library
Author	Florea, B.-F. Grigore, O.
Copyright Year	2011
Description	Author affiliation: Electronics Telecommunications and Information Technology, Polytechnic University of Bucharest, Romania (Florea, B.-F.; Grigore, O.)
Abstract	Using the experimental data acquired from three subjects, an offline analysis of the EEG signals has been performed in order to detect the attentive reading. The experiment involved 10 seconds reading trials alternating with 10 seconds of rest. The experimental data consists in 4 data sets recorded in different conditions, each set including from 182 to 320 trials. Half of these trials are reading trials, in which the subjects had to read a randomly selected text. In order to analyze the data, the signal power in different frequency bands has been used to build the feature vectors. Using their Pearson coefficients, the most relevant feature vectors were selected to be used for classification. These vectors have been classified using a Bayes classifier and a KNN classifier. The best results have been obtained using the Fp1–F3 signal energy in the [1÷2] Hz frequency band [as an uni-dimensional feature vector]. Using a KNN classifier with k = 7, an error probability less than 20% has been obtained on all data sets.
Starting Page	1
Ending Page	6
File Size	564858
Page Count	6
File Format	PDF
ISBN	9781457705076
ISSN	20687966
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-12
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Univ Politehnica of Buchare
Subject Keyword	Electrodes Error probability Filtering Support vector machine classification Feature extraction Electroencephalography Random variables
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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