DocumentCode
2049859
Title
A smart way to play using brain machine interface (BMI)
Author
Raajan, N.R. ; Jayabhavani, G.N.
Author_Institution
Sch. of Electr. & Electron. Eng., SASTRA Univ., Thanjavur, India
fYear
2013
fDate
21-22 Feb. 2013
Firstpage
1130
Lastpage
1135
Abstract
Brain machine interfacing (BMI) devices have become popular in resent years because of their inexpensive tool and are comfortable to use due to which the BMI could reach out the research world and enter into the outer world including entertainment. In this paper we had put forward the concept of brain machine interface (BMI) system for gaming application both in real and virtual world. The proposed system have the ability to control gaming applications by means of neuro signals acquired from human brain using commercially available wireless EEG headset. The signal acquisition seizes the neural activity of brain which is then preprocessed to boost up the SNR (signal to noise ratio). The preprocessed signal is then feature extracted to pick the necessary information and finally the classification stage switch the picked features into control commands and relays them to gaming application.
Keywords
brain-computer interfaces; computer games; electroencephalography; entertainment; feature extraction; mobile computing; neurophysiology; signal classification; signal detection; BMI devices; BMI system; SNR; brain machine interface system; brain machine interfacing devices; classification stage; commercially available wireless EEG headset; entertainment; feature extraction; gaming application; human brain; neural activity; neuro signal acquisition; signal to noise ratio; Control systems; Electrodes; Electroencephalography; Games; Headphones; Smart phones; Wireless communication; Brain machine interface (BMI); Gaming application; Neuro signal; Wireless EEG headset;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Communication and Embedded Systems (ICICES), 2013 International Conference on
Conference_Location
Chennai
Print_ISBN
978-1-4673-5786-9
Type
conf
DOI
10.1109/ICICES.2013.6508173
Filename
6508173
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