CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

A Survey on Signal Acquistion and Feature Extraction Techniques

Published on August 2016 by Vidya Devi M, Thippeswamy G.
journal_cover_thumbnail

National Conference on “Recent Trends in Information Technology"
Foundation of Computer Science USA
NCRTIT2016 - Number 2
August 2016
Authors: Vidya Devi M, Thippeswamy G.
ffdb3161-ba08-430e-b523-7bb370d5411c

Vidya Devi M, Thippeswamy G. . A Survey on Signal Acquistion and Feature Extraction Techniques. National Conference on “Recent Trends in Information Technology". NCRTIT2016, 2 (August 2016), 39-43.

@article{
author = { Vidya Devi M, Thippeswamy G. },
title = { A Survey on Signal Acquistion and Feature Extraction Techniques },
journal = { National Conference on “Recent Trends in Information Technology" },
issue_date = { August 2016 },
volume = { NCRTIT2016 },
number = { 2 },
month = { August },
year = { 2016 },
issn = 0975-8887,
pages = { 39-43 },
numpages = 5,
url = { /proceedings/ncrtit2016/number2/25593-1639/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on “Recent Trends in Information Technology"
%A Vidya Devi M
%A Thippeswamy G.
%T A Survey on Signal Acquistion and Feature Extraction Techniques
%J National Conference on “Recent Trends in Information Technology"
%@ 0975-8887
%V NCRTIT2016
%N 2
%P 39-43
%D 2016
%I International Journal of Computer Applications
Abstract

Brain computer Interfacing is a means of communicating to the outside world through brain thoughts. In the design of a Brain computer Interface, signal processing and classification techniques are the most important techniques. This paper aims at comparing the various algorithms and techniques required for detection of essential features for the classification of human emotions recorded using Electroencephalogram. This paper shows the advantages, disadvantages and accuracy of the different methodologies.

References
  1. M. Rajya lakshmi, Dr. T V Prasad, Dr. V Chandraprakash," Survey on EEG Signal Processing Methods", InternationalJournal of Advanced Research in Computer Science and Software Enginnering, Vol 4, Issue 1, Jan 2014
  2. M. RajyaLakshmi, T. Kameswara Rao, Dr. T. V. Prasad, "Exploration of Recent Advances in The Field of Brain Computer Interface", IOSR J. of Computer Engg. , Vol. 8, Issue 2, 2012.
  3. Amjed S. Al-Fahoum and Ausilah A. Al-Fraihat, "Methods of EEG Signal Features Extraction Using Linear Analysis in Frequency and Time Frequency Domains"ISRN Neuroscience Volume 2014 (2014)
  4. Vidya Devi M, Rashmi S, Sunitha Nayak, Yogashree V, "Analysis of EEG using ICA to Rehabilitate Completely Locked in syndrome patients", International Conference on Electrical, Electronics and Computer Science,
  5. Vidya Devi M, Deepak SR, Hamsini Poovamma, Raghunath - "Detection of Epilepsy using Wavelet Decomposition of -EEG and SVM", International Journal of Engineering Research and Technology
Index Terms

Computer Science
Information Sciences

Keywords

Brain Computer Interface Eeg Feature Extraction Emotion Quantification