Title :
Biometrics using headgear to scan brainwaves
Author :
Eswari, C. ; Ramya, S.K.
Author_Institution :
Dept. of Electron. & Commun. Eng., Periyar Maniammai Univ., Thanjavur, India
Abstract :
In this paper, we investigate the use of brain activity for person authentication and person identification. Until now, the most widely used forms of biometric identification have been fingerprints, facial recognition and voice recognition, all of which can be faked but the brain-wave pattern cannot be faked. We know that the brain-wave pattern of every individual is unique and that the electroencephalogram (EEG) can be used for biometric identification. A range of technologies and systems have been deployed in the past few years, but the more successful they are the more obtrusive they tend to be, causing disruptions and delays. Unobtrusiveness was one of the most important aspects of what we were trying to achieve, hence it can be achieved using this technology. This is the first time this type of biometrics has been used for identification, and it solves most of the problems that the other biometric systems face..EEG-based biometry is an emerging research topic which will fulfill the current need, which is focusing mainly on person identification and person authentication. Hence the paper is aiming at enhancing both security and safety across a wide spectrum of applications.
Keywords :
electroencephalography; medical signal detection; EEG-based biometry; biometric identification; brain activity; brain-wave pattern; electroencephalogram; facial recognition; fingerprints; headgear; person authentication; person identification; scan brainwaves; voice recognition; Electrodes; Electroencephalography; Fingerprint recognition; Iris recognition; Monitoring; Security; Biometrics; Brainwaves; EEG; Headgear;
Conference_Titel :
Innovations in Emerging Technology (NCOIET), 2011 National Conference on
Conference_Location :
Erode, Tamilnadu
Print_ISBN :
978-1-61284-807-5
DOI :
10.1109/NCOIET.2011.5738841