Brainwave seminar
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Brainwave seminar

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sreeraj.K.R

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  • REM>rapid eye movement,SMR>Sensorimotor Response
  • Stacking(3D to 2D) is best illustrated using the Matlab surf() function, however, plot3() was used for the 2D images
  • sreer
  • Right hemisphere ~ parallel processor(present events),Left hemisphere ~ serial processor(past n future)

Transcript

  • 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
  • 4.
    • Biometrics makes use of several unique human characteristics:
  • PERSON AUTHENTICATION
    Illustration of typical errors of a biometric system during authentication. An impostor above the threshold is a false acceptance. A client below the threshold is a false rejection.
    Equal Error Rate (EER), i.e when FAR = FRR,
    False Acceptance (FA), False Rejection (FR), False Acceptance Rate (FAR) and False Rejection Rate (FRR),
  • 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
  • 7.
  • 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)
  • 11.
  • 12. HEAD GEAR
    • The headgear detects changes in brain-wave patterns via metal
    sensors at the front and back of the head and at the earlobes. A
    chipdigitizes and transmits that information wirelessly via
    Bluetooth or RFID to a computer or PDA.
    • Current flow inside our brain would be ionic not electronic
  • APPS: BIOMETRIC PASSPORT
    Used in all security systems as biometric locker . The brainwave pattern can be stored on a microchip on the card or on a magnetic strip.
    Biometric passport is introduced because of the increasing threat of identity fraud makes it necessary to strengthen the security features in passports.
    International Civil Aviation Organization(ICAO) nominated brain wave recognition as the biometric security, with facial, iris and fingerprint as backup.
  • 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/
  • 14.
  • 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