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(IJCSIS) International Journal of Computer Science and Information Security, Vol. 9, No. 2, February 2011 Brain Computer Interaction Of Indian Facial Expressions Recognition Through Digital Electroencephalogra phy Mr.Dinesh Chandra Jain Univ. of RGPV, Dept. Of Computer-Sc & Engineering Shri Vaishnav Inst. of Technology Indore, India [email protected] Dr. V.P Pawar Univ. of Pune, Dept. of Computer App. Director of Siddhant Inst. of Comp-App Pune, India [email protected]  Abstract The brain computer interaction could be the interface medium of the future, instead of using peripheral input output devices .So The brain computer interaction is a path way in which through digital EEG technique the brain signals of human subject have been recorded under different poses by using Digital Electroencephalograph (EEG) 2400NP instrument. Under experimental setup The subjects have given different expressions corresponding brain signals that have been recorded through a popular technique Digital EEG. An attempt has been done to correlate these results to the facial action coding System (FACS). Keywords- Bci, Eeg, Expression, Facial coding System. All standard paper components have been specified for three reasons: (1) ease of use when formatting individual papers, (2) automatic compliance to electronic requirements that facilitate the concurrent or later production of electronic products, and (3) conformity of style throughout a conference proceedings. Margins, column widths, line spacing, and type styles are built-in; examples of the type styles are provided throughout this document and are identified in italic type, within parentheses, following the example. Some components, such as multi-leveled equations, graphics, and tables are not prescribed, although the various table text styles are provided. The formatter will need to create these components, incorporating the applicable criteria that follow. I.  INTRODUCTION The most important challenging application of brain computer interaction is to enables direct interaction between human and computer by directly receiving and transmitting signals to and from the brain of human subject. In the Computer system the Recognition of Facial expression of human subject is a great challenging task[1][2][3]. During expression recognition of human face there are so many c omplex issue arises like: neur omedical ,anatomical and psychological[4]. This is dependent on the social behavior of human.. Basically, one human bein g may have di fferent expression under different -2 conditions. The human subject may have seven type of universal facial expressions like: happiness, sadness, fear, anger, surprise, disgust, and neutral so expression may consider as a vector in the seven dimensional field[5]. In anatomical FACS , the subject have been made to express expressions which will have anatomical aspects of the face. The facial expression are controlled by the brain so it is useful to correlate the expression with the brain[6]. Today’s there are so many techniques available for direct contact with neural as Electroencephal ography(EEG), Magneto encephalography (MEG) and FMRI[7]. II.  BCI THROUGH EEG In brain computer interaction electroencephalography technique is an approximation of the cumulative electrical activity of neurons and is a measure of the brain's voltage fluctuations as detected from scalp electrodes. This technology is to augment human capabilities by enabling human subject to intera ct with a computer through a conscious and spontaneous modulation of their brain waves after a short training period. A brain computer interaction has been developed cerebral electric activity is recorded via the Electroencephalogr aphy: electrodes , attached on the scalp and measure the electric signal of the brain[8] . The signals are amplified and transmitted to the computer which transform them into device control command. The crucial requirement for the successful functioning of the brain computer interaction is that the electric activity in the scalp surface. Fig1. Brain computer Interaction Identify applicable sponsor/s here. (sponsors) 212 http://sites.google.com/site/ijcsis/ ISSN 1947-5500
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Brain Computer Interaction of Indian Facial Expressions Recognition Through Digital Electroencephalography

Apr 08, 2018

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