National Institute of Science and Technology defines biometrics as automated identification or authentication using physiological or behavioral characteristics. The document discusses using brain waves as a biometric for identification and authentication, describing how brain waves are recorded via electrodes and digitized. Potential applications discussed include using brain waves to unlock biometric passports or make phone calls using a headset that interprets brain waves and attention levels.

1. BIOMETRIC INNOVATION

2. BIOMETRICS National Institute of Science and Technology (NIST) defines Biometrics as automated method of identifying or authenticating an individual based on his/her physiological or behavioral characteristic. “Biometrics: The passwords of the Future!!!”

3. BIOMETRICS

5. BIO ELECTRICAL SIGNAL Sensor electrodes

6. BRAIN WAVE CHARACTERISTICS Main source of the EEG is the synchronous activity of thousands of cortical neurons. Everyone's brainwave signal is a bit different even when they think about the same thing. In abnormal adults the EEG shows sudden bursts of electrical activity (spikes) or sudden slowing of brain waves. These abnormal discharges may be caused by a brain tumor, infection, injury, stroke, or epilepsy. Brain dead state : Flat EEG

8. 3D Imaging using EEGLAB Alpha Beta Gamma Delta Theta

9. Recording brain waves

10. Recording brain waves Each electrode is connected to one input of a differential amplifier A common system reference electrode is connected to the other input of each differential amplifier Amplified signal is digitized via an analog-to-digital converter, after being passed through an anti-aliasing filter. Sampling frequency range:256–512 Hz High-pass filter are 0.5-1 Hz(Delta wave) and Low-pass filter 35–70 Hz(Gamma wave frequency)

13. References: 1. FBI biometric centre of excellence(BCOE)- http://www.biometriccoe.gov/ 2. Biometrics Using Headgear to Scan Brainwaves- Proceedings of the National Conference on Innovations in Emerging Technology- February 2011,C.Eswari, S.K.Ramya, Periyar Maniammai University,Tamilnadu,India 3. Characteristics of Biometric System, cernet. 4. http://xtrem-it-y.blogspot.com/p/biometrics-using-headgear-to-scan.html 5.Thinkcontact:Mirko B. Perkusich, Taciana S. Rached, and Angelo Perkusich,IEEEMember SEMINAR RECAP: Visit my blog: www.brainwavebiometric.blogspot.com/

15. Revamp…..

16. ADVANTAGES AND COMPARISON : Confidential (as it corresponds to a mental task) Very difficult to mimic Problems with fingerprinting matching and submission include cold, dry or oily fingers, extreme humidity, proper placement, finger pressure, and finger disfigurement….results in data acquisition delay. Movement of the head or eye, glasses, and colored contacts affect an accurate and timely submission or acquisition. Many algorithms are under development for person identification. One such algorithm is based on P300 wave analysis. Learning vector quantization (LVQ) neural network is used for the classifier to identify which individual the P300 wave belongs to.

17. APPS: ThinkContact ThinkContact enables a motor disabled person to make a phone call to a desired contact using GIU The byte sequence, called packet, sent by the headset is translated into the user’s level of meditation and attention by using an algorithm provided by the headset’s company. Switching of contacts based on User’s attention levels : 30%-70%(contact switching),80%(makes a call)

18. Related Ideas n Apps: Alzheimer's’ disease monitoring and treatment by restoring original brain waveform patterns..!! MERMER (memory and encoding related multifaceted electroencephalographic response),developed by Dr. Farwell, concerned with brain fingerprinting. Real life-changing applications such as controlling a wheelchair using mind wave has been deployed recently. Brainwave pattern of a person driving a vehicle can be monitored and an alert can be made when he is drowsy or if not in a relaxed state, by just wearing a headset.

19. Comparison of consumer brain–computer interfaces