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
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;
Conference_Titel :
Information Communication and Embedded Systems (ICICES), 2013 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-5786-9
DOI :
10.1109/ICICES.2013.6508173