COMPARISON OF FEATURE EXTRACTION TECHNIQUES FOR EEG BASED RAIN-COMPUTER INTERFACE
Journal Title: International Journal of Computer Engineering & Technology (IJCET) - Year 2019, Vol 10, Issue 2
Abstract
The analysis of electroencephalogram(EEG) signals, for implementation of brain-computer interface (BCI), has enticed a lot of interest in the research community. It can be used in a variety of applications ranging from medical rehabilitation to pleasure and entertainment. BCI is very promising research domain even in the face of a number of challenges, especially in domain of signal processing, feature extraction and that of classification techniques, as these EEG signals contain considerable amount of noise and artifacts. In this paper, various feature extraction algorithms used in BCI are investigated and compared. Common spatial pattern(CSP) is a popularly applied algorithm for extracting features from EEG signals in an implementation of BCI. Filter bank spatial pattern (FBCSP) and spectrally weighted common spatial pattern (SWCSP) are further extensions of CSP. The performance of these methods is evaluated and calculated on data set 2a of BCI competition IV, on the basis of standardized mean squared error (SMSE) . Results shows that FBCSP considerably outperforms the performance of the other methods under consideration
Authors and Affiliations
MANDEEP KAUR GHUMMAN AND SATVIR SINGH
Keywords
Related Articles
- EP ID EP46551
- DOI 10.34218/IJCET.10.2.2019.024
- Views 231
- Downloads 0
APP FOR PLACING ORDERS AND BARGAINING WITH AI AT A RESTAURANT
The proposed system attempts to implement various new technologies to an app for enabling users to place orders and bargain the prices with a machine learning powered bot. Such a system can provide new experience to th...
A COMPARATIVE STUDY ON GOOGLE APP ENGINE AMAZON WEB SERVICES AND MICROSOFT WINDOWS AZURE
In today Internet has grown to be persistent in daily livelihood furthermore Cloud computing is a rising model where computing resources offered over the Internet as scalable, on-demand (Web) services. An association d...
ANALYSIS OF SOCIAL MEDIA TEXTUAL CONTENT USING ACCIDENT DATA SETS FOR CONTEXT RECOGNITION BY GENETIC ALGORITHM
There is huge amount of data which is being processed daily. According to statistic world’s population is 7 billion and 6 billion people has smart phones. So, having smart phones there are various application which con...
APPLICATION OF NEURAL NETWORK IN DROUGHT FORECASTING; AN INTENSE LITERATURE REVIEW
India is the agrarian country. The overall economy of our country is based on agriculture. Although the methods of cultivation are traditional and not hi-tech thus more over 75% of our farmers are dependent on monsoon....
AN APPROACH FOR PREDICTION OF CROP YIELD USING MACHINE LEARNING AND BIG DATA TECHNIQUES
Agriculture is the primary source of livelihood which forms the backbone of our country. Current challenges of water shortages, uncontrolled cost due to demand-supply, and weather uncertainty necessitate farmers to be...