SlideShare a Scribd company logo
1 of 39
BRAIN
FINGERPRINTING
TINA TREESIUS A
S7 T
ROLL NO: 46
What is Brain Fingerprinting?
Scientific technique to determine
whether or not specific information is
stored in an individual's brain
Relevant words, pictures or sounds
are presented to a subject by a
computer in a series with stimuli
The brainwave responses measured
using a patented headband equipped
with EEG sensors
Why is it named so?
INVENTION
• By Lawrence Farwell
• Based on electrical
signal, MERMER
• Farwell's brain
fingerprinting originally
used the well-
known P300 brain
response to detect the
brain's recognition of
the known information
Phases of Brain Fingerprinting
Crime Scene Evidence Collection
Brain Evidence collection
Computer Evidence Analysis
Scientific Result
EEG
P-300
MERMER
BRAIN
FINGERPRINTING
• Farwell discovered the P300-MERMER
("Memory and Encoding Related Multifaceted
Electroencephalographic Response")
• A MERMER is an electrical signal which is
part of the brainwave observed in response to
familiar information..
• When the brain recognizes something, then
there is increase in neurons activity, so elicit
some changes in brain wave signals .
Types of stimuli used
 Probes
 Life-experience related
 Relevant to the investigated event -recognizable and
noteworthy only for the subjects who had participated in the
event (MERMER)
 Indistinguishable from the Irrelevants for a subject who is
not knowledgeable about the situation under investigation
 Targets
 Push a button to indicate known image
 Since the relatively rare Targets are singled out in the task
being performed, the Targets are noteworthy for the subject,
and each Target stimulus elicits a MERMER
 Irrelevant Stimuli
 information relevant to the crime that the suspect claims to
have no knowledge of
EEG
Electroencephalography Or Electrocorticogram
Recording of the electrical activity of the brain
from the scalp.
The first recordings were made by Hans
Berger in 1929
Picture or
word shown
to an
individual
•Triggers neurons of
brains
Generates
brain wave
P-300
Electric
potentials
accumulates
•Head gear fitted with electrodes on
scalp
MERMER
measured
EEG
Amplifier
Found
Guilty/ Not
guilty
Generates analog
signal
Study the data using
computer program
BRAIN WAVES
suspect expected to know
irrelevant stimuli
crime information
The Following figure shows the RED and BLUE lines are
closely correlated.
This indicates the suspect or the criminal has the knowledge of
the CRIME.
Information is absent Information is present
GENERATION OF EEG SIGNALS
REQUIREMENTS
• EEG machine (8/16
channels).
• Silver cup
electrodes/metallic
bridge electrodes.
• Electrode jelly.
• Rubber cap.
• Quiet dark comfortable
room.
• Skin pencil &
measuring tape.
EEG ELECTRODES
• Each electrode site is labeled with a letter
and a number.
• The letter refers to the area of brain
underlying the electrode
• e.g. F - Frontal lobe and T - Temporal
lobe.
• Even numbers denote the right side of
the head and
• Odd numbers the left side of the head.
EEG ELECTRODES
EEG RECORDING
Ask the
subject to
close his/her
eyes.
Select a
montage
Different sets of
electrode arrangement
on the scalp by 10 – 20
system is known as
montage.
21 electrodes are
attached to give 8
or 16 channels
recording.
Press the
calibration knob
to check
voltages & time
constant.
Always observe
subject for any
abnormal muscle
activity.
Ask the subject to
open eyes for 10
sec.and ask him/her
to close eyes
Do this procedure
for several times in
each montage
ANALYSIS OF EEG
• Electrical activity from the brain consist of
primarily of rhythms.
• They are named according to their frequencies
(Hz) and amplitude in micro volt (μv).
• Different rhythms at different ages and
different conditions (level of consciousness)
• Usually one dominant frequency
(background rhythm)
VIDEO MONITORING
Simultaneous video monitoring of the patient during the EEG recording is
becoming more popular. It allows the physician to closely correlate EEG
waveforms with the patients activity and may help produce a more
accurate diagnosis.
EVENT RELATED POTENTIALS(ERP)
• Triggered by particular stimuli- called evoked
potentials
• Visual, auditory or somatosensory
• Early ERPs of latency below 10–12 ms (far fields)
• Late ERPs – endogenous and exogenous
components
• P300 – Memory representations are updated
• ERPs caused by continuous stimuli – analyzed in
frequency domain
• Desynchronization in EEG, during the movement
• Increased activity in high frequencies
• Visible in EEG
EEG ANALYSIS
 Visual inspection of signals
 Statistical properties can be evaluated by typical methods
based on the theory of stochastic signals
 Analyzed in the time or frequency domain, and one or
several channels can be analyzed at a time
 Spectral analysis by Fourier Transform (FT),
autoregressive (AR) or autoregressive-moving average
(ARMA) parametric models, Kalman filters, and time-
frequency and time-scale methods
 Post processing include cluster analysis, discriminant
analysis, or artificial neural networks (ANN).
 Estimation of power spectra using Fast Fourier
Transform
 AR model represents a filter with a white noise at the input
and the EEG series at the output
 Interdependence between two EEG signals can be found
by a cross-correlation function
 The cross covariance functions have been extensively used
in the analysis of event-related potentials for the study of
the electrophysiological correlates of cognitive functions
 Wavelet transform (WT) describes signals in terms of
coefficients representing their energy content in specified
time-frequency region
 ANN are constructed from artificial neurons (or units),
which produce the output depending on the sum of
weighted inputs from other units
EEG ANALYSIS
CURRENT USES AND
APPLICATIONS
 Test for several forms of employment, especially in dealing
with sensitive military and foreign intelligence screening
 Individuals who were ‘information present’ and
‘information absent’
 A group of 17FBI agents and4 non-agents were exposed to
stimuli
 To detect symptoms of Alzheimer’s disease, Mental
depression and other forms of dementia including
neurological disorders
 Criminal cases and counter-terrorism
 Advertisements
 Security testing
APPLICATIONS
Criminal justice
The key difference between a guilty party and
an innocent suspect is that the perpetrator of the
crime has a record of the crime stored in their brain,
and the innocent suspect does not. Until the
invention of brain fingerprinting testing, there was
no scientifically valid way to detect this fundamental
difference
Counter terrorism
 Aid in determining who has participated in terrorist
acts, directly or indirectly
Aid in identifying trained terrorists with the potential to
commit future terrorist acts, even if they are in a
“sleeper” cell and have not been active for years.
Help to identify people who have knowledge or training
in banking, finance or communications and who are
associated with terrorist teams and acts
Help to determine if an individual is in a leadership role
within a terrorist organization.
APPLICATIONS
Medical field
 Research has now demonstrated that analysis
of the P300 brainwave can show dementia onset and
progression. Mermer technology, developed and
patented by Brain Fingerprinting Laboratories,
includes the P300 and extends it, providing a more
sensitive measure than the P300 alone.
With early diagnosis, the progression of Alzheimer’s
symptoms can often be delayed through medications
and dietary and lifestyle changes.
APPLICATIONS
Advertising applications
What specific information do people retain from
advertising?
What specific elements in an ad campaign have the most
impact?
Which type of media is most effective?
What commercial is the most effective for a single
product?
How effective is the product branding strategy?
How effective is an ad campaign in different parts of the
world?
What is the correlation between the campaign and the point
of sale?
How do the effects of campaigns vary with the influence of
time?
APPLICATIONS
COMPARISON WITH OTHER
TECHNOLOGIES
• Conventional fingerprinting and DNA match
physical evidence from a crime scene with
evidence on the person of the perpetrator
• Brain fingerprinting matches informational
evidence from the crime scene with evidence
stored in the brain.
• Fingerprints and DNA are available in only 1%
of crimes. The brain is always there, planning,
executing, and recording the suspect's actions
• As with DNA and fingerprints, the results are
the same whether the person has lied or told the
truth at any time
ROLE OF BRAIN
FINGERPRINTING IN CRIMINAL
PROCEEDINGS
• Four phases
1. Investigation- by skilled investigator
2. Interview- by Investigator or scientist
3. Scientific testing- by scientist
4. Adjudication- by judge and jury
Admissibility In Courts
Brain fingerprinting has been thoroughly and
scientifically tested.
The theory and application of brain fingerprinting
have been subject to peer review and publication.
The rate of error is extremely low -- virtually
nonexistent -- and clear standards governing
scientific techniques of operation of the
technology have been established and published
The theory and practice of brain fingerprinting
have gained general acceptance in the relevant
scientific community.
Brain fingerprinting is non-invasive and non-
testimonial
ADVANTAGES
Identify criminals quickly and scientifically
Record of 100% accuracy
Identify terrorists and members of gangs,
criminal and intelligence organizations
Reduce expenditure of money and other
resources in Law enforcement
Reduce evasion of justice
LIMITATIONS
It does not detect how that information got there.
Detects only information, not intent
Where the suspect knows everything that the investigators can ask.
Authorities have no information about what crime may have taken place
General pre-employment or employee screening where in any number of
undesirable activities or intentions may be relevant.
Only detect information, not lies
Does not determine whether a suspect is guilty or not. Determined by
judge and jury
Limitations of human memory and factors affecting it.
Conclusion
• Brain fingerprinting is a revolutionary new
scientific technology for solving crimes,
identifying perpetrator and exonerating
innocent suspects.
• This technology fulfills an urgent need for
governments, law enforcements agencies,
corporations, investigators and crime victims.
References
1. Farwell LA (1992a). The brain-wave information detection (BID)
system: A new paradigm for psycho physiological detection of
information (unpublished doctoral dissertation). Urbana-
Champaign (IL): University of Illinois.
2. Farwell LA (1993). Brain MERMERs: Detection of FBI Agents and
crime-relevant information with the Farwell MERA system.
Proceedings of the International Security Systems Symposium,
Washington, D.C.
3. PBS Innovation Series (2004). Brain Fingerprinting May 4, 2004.
Brain Fingerprinting: Ask the Experts. Accessed July 20, 2008.
4. Simon S (2005). What you don't know can't hurt you. Law
Enforcement Technology, Sept., 2005.
5. Rosenfeld JP, Soskins M, Bosh G, Ryan A (2004). Simple, Effective
Counter measures to P300-based Tests of Detection of Concealed
Information. Psychophysiol., 41: 205–219.
Brain fingerprinting
Brain fingerprinting

More Related Content

What's hot

Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprintingpgrr
 
Brain fingerprinting technology seminar presentation
Brain fingerprinting technology seminar presentationBrain fingerprinting technology seminar presentation
Brain fingerprinting technology seminar presentationMohammed Zaajin
 
BRAIN FINGERPRINTING
BRAIN FINGERPRINTINGBRAIN FINGERPRINTING
BRAIN FINGERPRINTINGApoorv Pandey
 
Brain fingerprinting
Brain fingerprinting Brain fingerprinting
Brain fingerprinting Prudhvi Raj
 
Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprintingSai Mahesh
 
Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprintingSai Mahesh
 
Brain finger printing presentation
Brain finger printing presentationBrain finger printing presentation
Brain finger printing presentationHarish Neela Ravi
 
Brain Fingerprinting
Brain FingerprintingBrain Fingerprinting
Brain Fingerprintingveera
 
Brain finger printing
Brain finger printingBrain finger printing
Brain finger printingMohit Arora
 
Brain Finger Printing
Brain Finger PrintingBrain Finger Printing
Brain Finger PrintingGarima Singh
 
Brain fingerprint technology presentation
Brain fingerprint technology presentationBrain fingerprint technology presentation
Brain fingerprint technology presentationHarsha Gundapaneni
 
Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprintingVivek Jha
 
Brain Fingerprinting
Brain FingerprintingBrain Fingerprinting
Brain FingerprintingKetan Hulaji
 
Brain Fingerprinting Technology
Brain Fingerprinting Technology Brain Fingerprinting Technology
Brain Fingerprinting Technology Raaz Shukla
 
Brain fingerprinting padmaja
Brain fingerprinting padmajaBrain fingerprinting padmaja
Brain fingerprinting padmajaPadmaja Dash
 
BRAIN FINGERPRINTING_NIRMAL
BRAIN FINGERPRINTING_NIRMALBRAIN FINGERPRINTING_NIRMAL
BRAIN FINGERPRINTING_NIRMALNirmal Yadav
 

What's hot (20)

Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprinting
 
Brain fingerprinting technology seminar presentation
Brain fingerprinting technology seminar presentationBrain fingerprinting technology seminar presentation
Brain fingerprinting technology seminar presentation
 
BRAIN FINGERPRINTING
BRAIN FINGERPRINTINGBRAIN FINGERPRINTING
BRAIN FINGERPRINTING
 
Brain fingerprinting
Brain fingerprinting Brain fingerprinting
Brain fingerprinting
 
Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprinting
 
Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprinting
 
Brain fingerprinting tech
Brain fingerprinting techBrain fingerprinting tech
Brain fingerprinting tech
 
Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprinting
 
Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprinting
 
Brain finger printing presentation
Brain finger printing presentationBrain finger printing presentation
Brain finger printing presentation
 
Brain finger printing technology
Brain finger printing technologyBrain finger printing technology
Brain finger printing technology
 
Brain Fingerprinting
Brain FingerprintingBrain Fingerprinting
Brain Fingerprinting
 
Brain finger printing
Brain finger printingBrain finger printing
Brain finger printing
 
Brain Finger Printing
Brain Finger PrintingBrain Finger Printing
Brain Finger Printing
 
Brain fingerprint technology presentation
Brain fingerprint technology presentationBrain fingerprint technology presentation
Brain fingerprint technology presentation
 
Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprinting
 
Brain Fingerprinting
Brain FingerprintingBrain Fingerprinting
Brain Fingerprinting
 
Brain Fingerprinting Technology
Brain Fingerprinting Technology Brain Fingerprinting Technology
Brain Fingerprinting Technology
 
Brain fingerprinting padmaja
Brain fingerprinting padmajaBrain fingerprinting padmaja
Brain fingerprinting padmaja
 
BRAIN FINGERPRINTING_NIRMAL
BRAIN FINGERPRINTING_NIRMALBRAIN FINGERPRINTING_NIRMAL
BRAIN FINGERPRINTING_NIRMAL
 

Viewers also liked

Brain Fingerprinting PPT
Brain Fingerprinting PPTBrain Fingerprinting PPT
Brain Fingerprinting PPTVishnu Mysterio
 
Brain Fingerprinting
Brain FingerprintingBrain Fingerprinting
Brain FingerprintingAradhya Kundu
 
Brain finger printing
Brain finger printingBrain finger printing
Brain finger printingLikan Patra
 
Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprintingSuma Varsha
 
Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprintingsameer535
 
Slidsshare
SlidsshareSlidsshare
SlidsshareAckool24
 
11 brain finger printing
11 brain finger printing11 brain finger printing
11 brain finger printingPREMKUMAR
 
Best topics for seminar
Best topics for seminarBest topics for seminar
Best topics for seminarshilpi nagpal
 

Viewers also liked (12)

Brain Fingerprinting PPT
Brain Fingerprinting PPTBrain Fingerprinting PPT
Brain Fingerprinting PPT
 
Brain Fingerprinting
Brain FingerprintingBrain Fingerprinting
Brain Fingerprinting
 
Brain finger printing
Brain finger printingBrain finger printing
Brain finger printing
 
Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprinting
 
Bft Abstract
Bft  AbstractBft  Abstract
Bft Abstract
 
Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprinting
 
Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprinting
 
Bfp final presentation
Bfp final presentationBfp final presentation
Bfp final presentation
 
Slidsshare
SlidsshareSlidsshare
Slidsshare
 
11 brain finger printing
11 brain finger printing11 brain finger printing
11 brain finger printing
 
Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprinting
 
Best topics for seminar
Best topics for seminarBest topics for seminar
Best topics for seminar
 

Similar to Brain fingerprinting

Brain Fingerprinting New cyber Technology
Brain Fingerprinting  New  cyber TechnologyBrain Fingerprinting  New  cyber Technology
Brain Fingerprinting New cyber Technologychatjamshi123
 
Brain Fingerprinting
Brain FingerprintingBrain Fingerprinting
Brain Fingerprintingsanjana
 
Brain fingerprint technology.pptx
Brain fingerprint technology.pptxBrain fingerprint technology.pptx
Brain fingerprint technology.pptxAsmithaAsmi3
 
Brainfingerprinting 110326085605-phpapp01
Brainfingerprinting 110326085605-phpapp01Brainfingerprinting 110326085605-phpapp01
Brainfingerprinting 110326085605-phpapp01agarwaljyothi
 
brainfingerprint-181227151253.pdf
brainfingerprint-181227151253.pdfbrainfingerprint-181227151253.pdf
brainfingerprint-181227151253.pdfGetWebb
 
Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprintingPadma Sriram
 
Brain Finger Printing
Brain Finger PrintingBrain Finger Printing
Brain Finger PrintingGarima Singh
 
Brain_Fingerprinting_Technology 2.pptx
Brain_Fingerprinting_Technology 2.pptxBrain_Fingerprinting_Technology 2.pptx
Brain_Fingerprinting_Technology 2.pptxThoparamVaishnavi
 
Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprintingmashuj
 
Brain fingerprinting techology by madhavi rao
Brain fingerprinting techology by madhavi raoBrain fingerprinting techology by madhavi rao
Brain fingerprinting techology by madhavi raosmadhabi
 
Brain Fingerprinting
Brain FingerprintingBrain Fingerprinting
Brain FingerprintingSWARUP GHOSH
 
Brain fingerprinting report
Brain fingerprinting reportBrain fingerprinting report
Brain fingerprinting reportSamyuktha Rani
 

Similar to Brain fingerprinting (19)

Brain Fingerprinting New cyber Technology
Brain Fingerprinting  New  cyber TechnologyBrain Fingerprinting  New  cyber Technology
Brain Fingerprinting New cyber Technology
 
Seminar presentation_1
Seminar presentation_1Seminar presentation_1
Seminar presentation_1
 
Brain Fingerprinting
Brain FingerprintingBrain Fingerprinting
Brain Fingerprinting
 
Brain fingerprint technology.pptx
Brain fingerprint technology.pptxBrain fingerprint technology.pptx
Brain fingerprint technology.pptx
 
Brainfingerprinting
Brainfingerprinting Brainfingerprinting
Brainfingerprinting
 
brain fingerprinting
brain fingerprintingbrain fingerprinting
brain fingerprinting
 
Brainfingerprinting 110326085605-phpapp01
Brainfingerprinting 110326085605-phpapp01Brainfingerprinting 110326085605-phpapp01
Brainfingerprinting 110326085605-phpapp01
 
Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprinting
 
Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprinting
 
Brain finger printing
Brain finger printingBrain finger printing
Brain finger printing
 
brainfingerprint-181227151253.pdf
brainfingerprint-181227151253.pdfbrainfingerprint-181227151253.pdf
brainfingerprint-181227151253.pdf
 
Brain finger print
Brain finger printBrain finger print
Brain finger print
 
Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprinting
 
Brain Finger Printing
Brain Finger PrintingBrain Finger Printing
Brain Finger Printing
 
Brain_Fingerprinting_Technology 2.pptx
Brain_Fingerprinting_Technology 2.pptxBrain_Fingerprinting_Technology 2.pptx
Brain_Fingerprinting_Technology 2.pptx
 
Brain fingerprinting
Brain fingerprintingBrain fingerprinting
Brain fingerprinting
 
Brain fingerprinting techology by madhavi rao
Brain fingerprinting techology by madhavi raoBrain fingerprinting techology by madhavi rao
Brain fingerprinting techology by madhavi rao
 
Brain Fingerprinting
Brain FingerprintingBrain Fingerprinting
Brain Fingerprinting
 
Brain fingerprinting report
Brain fingerprinting reportBrain fingerprinting report
Brain fingerprinting report
 

Recently uploaded

COST-EFFETIVE and Energy Efficient BUILDINGS ptx
COST-EFFETIVE  and Energy Efficient BUILDINGS ptxCOST-EFFETIVE  and Energy Efficient BUILDINGS ptx
COST-EFFETIVE and Energy Efficient BUILDINGS ptxJIT KUMAR GUPTA
 
Path loss model, OKUMURA Model, Hata Model
Path loss model, OKUMURA Model, Hata ModelPath loss model, OKUMURA Model, Hata Model
Path loss model, OKUMURA Model, Hata ModelDrAjayKumarYadav4
 
8086 Microprocessor Architecture: 16-bit microprocessor
8086 Microprocessor Architecture: 16-bit microprocessor8086 Microprocessor Architecture: 16-bit microprocessor
8086 Microprocessor Architecture: 16-bit microprocessorAshwiniTodkar4
 
Query optimization and processing for advanced database systems
Query optimization and processing for advanced database systemsQuery optimization and processing for advanced database systems
Query optimization and processing for advanced database systemsmeharikiros2
 
Memory Interfacing of 8086 with DMA 8257
Memory Interfacing of 8086 with DMA 8257Memory Interfacing of 8086 with DMA 8257
Memory Interfacing of 8086 with DMA 8257subhasishdas79
 
HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptx
HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptxHOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptx
HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptxSCMS School of Architecture
 
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXssuser89054b
 
Hospital management system project report.pdf
Hospital management system project report.pdfHospital management system project report.pdf
Hospital management system project report.pdfKamal Acharya
 
Worksharing and 3D Modeling with Revit.pptx
Worksharing and 3D Modeling with Revit.pptxWorksharing and 3D Modeling with Revit.pptx
Worksharing and 3D Modeling with Revit.pptxMustafa Ahmed
 
fitting shop and tools used in fitting shop .ppt
fitting shop and tools used in fitting shop .pptfitting shop and tools used in fitting shop .ppt
fitting shop and tools used in fitting shop .pptAfnanAhmad53
 
Introduction to Artificial Intelligence ( AI)
Introduction to Artificial Intelligence ( AI)Introduction to Artificial Intelligence ( AI)
Introduction to Artificial Intelligence ( AI)ChandrakantDivate1
 
Introduction to Geographic Information Systems
Introduction to Geographic Information SystemsIntroduction to Geographic Information Systems
Introduction to Geographic Information SystemsAnge Felix NSANZIYERA
 
Introduction to Data Visualization,Matplotlib.pdf
Introduction to Data Visualization,Matplotlib.pdfIntroduction to Data Visualization,Matplotlib.pdf
Introduction to Data Visualization,Matplotlib.pdfsumitt6_25730773
 
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptxS1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptxSCMS School of Architecture
 
Computer Networks Basics of Network Devices
Computer Networks  Basics of Network DevicesComputer Networks  Basics of Network Devices
Computer Networks Basics of Network DevicesChandrakantDivate1
 
Digital Communication Essentials: DPCM, DM, and ADM .pptx
Digital Communication Essentials: DPCM, DM, and ADM .pptxDigital Communication Essentials: DPCM, DM, and ADM .pptx
Digital Communication Essentials: DPCM, DM, and ADM .pptxpritamlangde
 
Convergence of Robotics and Gen AI offers excellent opportunities for Entrepr...
Convergence of Robotics and Gen AI offers excellent opportunities for Entrepr...Convergence of Robotics and Gen AI offers excellent opportunities for Entrepr...
Convergence of Robotics and Gen AI offers excellent opportunities for Entrepr...ssuserdfc773
 
Hostel management system project report..pdf
Hostel management system project report..pdfHostel management system project report..pdf
Hostel management system project report..pdfKamal Acharya
 
Standard vs Custom Battery Packs - Decoding the Power Play
Standard vs Custom Battery Packs - Decoding the Power PlayStandard vs Custom Battery Packs - Decoding the Power Play
Standard vs Custom Battery Packs - Decoding the Power PlayEpec Engineered Technologies
 

Recently uploaded (20)

COST-EFFETIVE and Energy Efficient BUILDINGS ptx
COST-EFFETIVE  and Energy Efficient BUILDINGS ptxCOST-EFFETIVE  and Energy Efficient BUILDINGS ptx
COST-EFFETIVE and Energy Efficient BUILDINGS ptx
 
Path loss model, OKUMURA Model, Hata Model
Path loss model, OKUMURA Model, Hata ModelPath loss model, OKUMURA Model, Hata Model
Path loss model, OKUMURA Model, Hata Model
 
8086 Microprocessor Architecture: 16-bit microprocessor
8086 Microprocessor Architecture: 16-bit microprocessor8086 Microprocessor Architecture: 16-bit microprocessor
8086 Microprocessor Architecture: 16-bit microprocessor
 
Query optimization and processing for advanced database systems
Query optimization and processing for advanced database systemsQuery optimization and processing for advanced database systems
Query optimization and processing for advanced database systems
 
Memory Interfacing of 8086 with DMA 8257
Memory Interfacing of 8086 with DMA 8257Memory Interfacing of 8086 with DMA 8257
Memory Interfacing of 8086 with DMA 8257
 
HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptx
HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptxHOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptx
HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptx
 
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
 
Hospital management system project report.pdf
Hospital management system project report.pdfHospital management system project report.pdf
Hospital management system project report.pdf
 
Worksharing and 3D Modeling with Revit.pptx
Worksharing and 3D Modeling with Revit.pptxWorksharing and 3D Modeling with Revit.pptx
Worksharing and 3D Modeling with Revit.pptx
 
fitting shop and tools used in fitting shop .ppt
fitting shop and tools used in fitting shop .pptfitting shop and tools used in fitting shop .ppt
fitting shop and tools used in fitting shop .ppt
 
Introduction to Artificial Intelligence ( AI)
Introduction to Artificial Intelligence ( AI)Introduction to Artificial Intelligence ( AI)
Introduction to Artificial Intelligence ( AI)
 
Introduction to Geographic Information Systems
Introduction to Geographic Information SystemsIntroduction to Geographic Information Systems
Introduction to Geographic Information Systems
 
Introduction to Data Visualization,Matplotlib.pdf
Introduction to Data Visualization,Matplotlib.pdfIntroduction to Data Visualization,Matplotlib.pdf
Introduction to Data Visualization,Matplotlib.pdf
 
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptxS1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
 
Computer Networks Basics of Network Devices
Computer Networks  Basics of Network DevicesComputer Networks  Basics of Network Devices
Computer Networks Basics of Network Devices
 
Digital Communication Essentials: DPCM, DM, and ADM .pptx
Digital Communication Essentials: DPCM, DM, and ADM .pptxDigital Communication Essentials: DPCM, DM, and ADM .pptx
Digital Communication Essentials: DPCM, DM, and ADM .pptx
 
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak HamilCara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
 
Convergence of Robotics and Gen AI offers excellent opportunities for Entrepr...
Convergence of Robotics and Gen AI offers excellent opportunities for Entrepr...Convergence of Robotics and Gen AI offers excellent opportunities for Entrepr...
Convergence of Robotics and Gen AI offers excellent opportunities for Entrepr...
 
Hostel management system project report..pdf
Hostel management system project report..pdfHostel management system project report..pdf
Hostel management system project report..pdf
 
Standard vs Custom Battery Packs - Decoding the Power Play
Standard vs Custom Battery Packs - Decoding the Power PlayStandard vs Custom Battery Packs - Decoding the Power Play
Standard vs Custom Battery Packs - Decoding the Power Play
 

Brain fingerprinting

  • 1.
  • 2.
  • 4. What is Brain Fingerprinting? Scientific technique to determine whether or not specific information is stored in an individual's brain Relevant words, pictures or sounds are presented to a subject by a computer in a series with stimuli The brainwave responses measured using a patented headband equipped with EEG sensors
  • 5. Why is it named so?
  • 6. INVENTION • By Lawrence Farwell • Based on electrical signal, MERMER • Farwell's brain fingerprinting originally used the well- known P300 brain response to detect the brain's recognition of the known information
  • 7. Phases of Brain Fingerprinting Crime Scene Evidence Collection Brain Evidence collection Computer Evidence Analysis Scientific Result
  • 9. • Farwell discovered the P300-MERMER ("Memory and Encoding Related Multifaceted Electroencephalographic Response") • A MERMER is an electrical signal which is part of the brainwave observed in response to familiar information.. • When the brain recognizes something, then there is increase in neurons activity, so elicit some changes in brain wave signals .
  • 10. Types of stimuli used  Probes  Life-experience related  Relevant to the investigated event -recognizable and noteworthy only for the subjects who had participated in the event (MERMER)  Indistinguishable from the Irrelevants for a subject who is not knowledgeable about the situation under investigation  Targets  Push a button to indicate known image  Since the relatively rare Targets are singled out in the task being performed, the Targets are noteworthy for the subject, and each Target stimulus elicits a MERMER  Irrelevant Stimuli  information relevant to the crime that the suspect claims to have no knowledge of
  • 11.
  • 12. EEG Electroencephalography Or Electrocorticogram Recording of the electrical activity of the brain from the scalp. The first recordings were made by Hans Berger in 1929
  • 13. Picture or word shown to an individual •Triggers neurons of brains Generates brain wave P-300 Electric potentials accumulates •Head gear fitted with electrodes on scalp MERMER measured EEG Amplifier Found Guilty/ Not guilty Generates analog signal Study the data using computer program
  • 14. BRAIN WAVES suspect expected to know irrelevant stimuli crime information
  • 15. The Following figure shows the RED and BLUE lines are closely correlated. This indicates the suspect or the criminal has the knowledge of the CRIME. Information is absent Information is present
  • 16. GENERATION OF EEG SIGNALS
  • 17. REQUIREMENTS • EEG machine (8/16 channels). • Silver cup electrodes/metallic bridge electrodes. • Electrode jelly. • Rubber cap. • Quiet dark comfortable room. • Skin pencil & measuring tape.
  • 19. • Each electrode site is labeled with a letter and a number. • The letter refers to the area of brain underlying the electrode • e.g. F - Frontal lobe and T - Temporal lobe. • Even numbers denote the right side of the head and • Odd numbers the left side of the head. EEG ELECTRODES
  • 20. EEG RECORDING Ask the subject to close his/her eyes. Select a montage Different sets of electrode arrangement on the scalp by 10 – 20 system is known as montage. 21 electrodes are attached to give 8 or 16 channels recording. Press the calibration knob to check voltages & time constant. Always observe subject for any abnormal muscle activity. Ask the subject to open eyes for 10 sec.and ask him/her to close eyes Do this procedure for several times in each montage
  • 21. ANALYSIS OF EEG • Electrical activity from the brain consist of primarily of rhythms. • They are named according to their frequencies (Hz) and amplitude in micro volt (μv). • Different rhythms at different ages and different conditions (level of consciousness) • Usually one dominant frequency (background rhythm)
  • 22. VIDEO MONITORING Simultaneous video monitoring of the patient during the EEG recording is becoming more popular. It allows the physician to closely correlate EEG waveforms with the patients activity and may help produce a more accurate diagnosis.
  • 23. EVENT RELATED POTENTIALS(ERP) • Triggered by particular stimuli- called evoked potentials • Visual, auditory or somatosensory • Early ERPs of latency below 10–12 ms (far fields) • Late ERPs – endogenous and exogenous components • P300 – Memory representations are updated • ERPs caused by continuous stimuli – analyzed in frequency domain • Desynchronization in EEG, during the movement • Increased activity in high frequencies • Visible in EEG
  • 24. EEG ANALYSIS  Visual inspection of signals  Statistical properties can be evaluated by typical methods based on the theory of stochastic signals  Analyzed in the time or frequency domain, and one or several channels can be analyzed at a time  Spectral analysis by Fourier Transform (FT), autoregressive (AR) or autoregressive-moving average (ARMA) parametric models, Kalman filters, and time- frequency and time-scale methods  Post processing include cluster analysis, discriminant analysis, or artificial neural networks (ANN).  Estimation of power spectra using Fast Fourier Transform
  • 25.  AR model represents a filter with a white noise at the input and the EEG series at the output  Interdependence between two EEG signals can be found by a cross-correlation function  The cross covariance functions have been extensively used in the analysis of event-related potentials for the study of the electrophysiological correlates of cognitive functions  Wavelet transform (WT) describes signals in terms of coefficients representing their energy content in specified time-frequency region  ANN are constructed from artificial neurons (or units), which produce the output depending on the sum of weighted inputs from other units EEG ANALYSIS
  • 26. CURRENT USES AND APPLICATIONS  Test for several forms of employment, especially in dealing with sensitive military and foreign intelligence screening  Individuals who were ‘information present’ and ‘information absent’  A group of 17FBI agents and4 non-agents were exposed to stimuli  To detect symptoms of Alzheimer’s disease, Mental depression and other forms of dementia including neurological disorders  Criminal cases and counter-terrorism  Advertisements  Security testing
  • 27. APPLICATIONS Criminal justice The key difference between a guilty party and an innocent suspect is that the perpetrator of the crime has a record of the crime stored in their brain, and the innocent suspect does not. Until the invention of brain fingerprinting testing, there was no scientifically valid way to detect this fundamental difference
  • 28. Counter terrorism  Aid in determining who has participated in terrorist acts, directly or indirectly Aid in identifying trained terrorists with the potential to commit future terrorist acts, even if they are in a “sleeper” cell and have not been active for years. Help to identify people who have knowledge or training in banking, finance or communications and who are associated with terrorist teams and acts Help to determine if an individual is in a leadership role within a terrorist organization. APPLICATIONS
  • 29. Medical field  Research has now demonstrated that analysis of the P300 brainwave can show dementia onset and progression. Mermer technology, developed and patented by Brain Fingerprinting Laboratories, includes the P300 and extends it, providing a more sensitive measure than the P300 alone. With early diagnosis, the progression of Alzheimer’s symptoms can often be delayed through medications and dietary and lifestyle changes. APPLICATIONS
  • 30. Advertising applications What specific information do people retain from advertising? What specific elements in an ad campaign have the most impact? Which type of media is most effective? What commercial is the most effective for a single product? How effective is the product branding strategy? How effective is an ad campaign in different parts of the world? What is the correlation between the campaign and the point of sale? How do the effects of campaigns vary with the influence of time? APPLICATIONS
  • 31. COMPARISON WITH OTHER TECHNOLOGIES • Conventional fingerprinting and DNA match physical evidence from a crime scene with evidence on the person of the perpetrator • Brain fingerprinting matches informational evidence from the crime scene with evidence stored in the brain. • Fingerprints and DNA are available in only 1% of crimes. The brain is always there, planning, executing, and recording the suspect's actions • As with DNA and fingerprints, the results are the same whether the person has lied or told the truth at any time
  • 32. ROLE OF BRAIN FINGERPRINTING IN CRIMINAL PROCEEDINGS • Four phases 1. Investigation- by skilled investigator 2. Interview- by Investigator or scientist 3. Scientific testing- by scientist 4. Adjudication- by judge and jury
  • 33. Admissibility In Courts Brain fingerprinting has been thoroughly and scientifically tested. The theory and application of brain fingerprinting have been subject to peer review and publication. The rate of error is extremely low -- virtually nonexistent -- and clear standards governing scientific techniques of operation of the technology have been established and published The theory and practice of brain fingerprinting have gained general acceptance in the relevant scientific community. Brain fingerprinting is non-invasive and non- testimonial
  • 34. ADVANTAGES Identify criminals quickly and scientifically Record of 100% accuracy Identify terrorists and members of gangs, criminal and intelligence organizations Reduce expenditure of money and other resources in Law enforcement Reduce evasion of justice
  • 35. LIMITATIONS It does not detect how that information got there. Detects only information, not intent Where the suspect knows everything that the investigators can ask. Authorities have no information about what crime may have taken place General pre-employment or employee screening where in any number of undesirable activities or intentions may be relevant. Only detect information, not lies Does not determine whether a suspect is guilty or not. Determined by judge and jury Limitations of human memory and factors affecting it.
  • 36. Conclusion • Brain fingerprinting is a revolutionary new scientific technology for solving crimes, identifying perpetrator and exonerating innocent suspects. • This technology fulfills an urgent need for governments, law enforcements agencies, corporations, investigators and crime victims.
  • 37. References 1. Farwell LA (1992a). The brain-wave information detection (BID) system: A new paradigm for psycho physiological detection of information (unpublished doctoral dissertation). Urbana- Champaign (IL): University of Illinois. 2. Farwell LA (1993). Brain MERMERs: Detection of FBI Agents and crime-relevant information with the Farwell MERA system. Proceedings of the International Security Systems Symposium, Washington, D.C. 3. PBS Innovation Series (2004). Brain Fingerprinting May 4, 2004. Brain Fingerprinting: Ask the Experts. Accessed July 20, 2008. 4. Simon S (2005). What you don't know can't hurt you. Law Enforcement Technology, Sept., 2005. 5. Rosenfeld JP, Soskins M, Bosh G, Ryan A (2004). Simple, Effective Counter measures to P300-based Tests of Detection of Concealed Information. Psychophysiol., 41: 205–219.