IRJET- Heart Beat Based Security System Using Sampling Technique

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 7773
Heart Beat Based Security System Using Sampling Technique
G.Venkatesh1, M.Sugumar2, S.Pradeep3 ,R.N.Vasantharaj4
1G.Venkatesh M.E, Asst Professor ,Panimalar Engineering College ,Chennai.
2M.Sugumar, Panimalar Engineering College ,Chennai
3S.Pradeep Panimalar Engineering College ,Chennai
4R.N.Vasantharaj, Panimalar Engineering College ,Chennai
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - To provide a security system using the pulse
interval of heart beat of a person which is unique for each
individual which can provide high security and also establish
an interface between the security system the individual for
real time access.
Key Words: Security System , Heart Beat , Biometric
Authentication, Sampling Technique , Heart Beat Security
,etc (Minimum 5 to 8 key words)…
1.INTRODUCTION
HIS heart-beat-based security is mainly used for
improving our security encryption. In this System, a
security key is derived from the time difference between
consecutive heart beats (the inter-pulse interval, IPI).In
heart-beat-based security (HBBS), each sensor measures a
heart-related biosignal, for example, cardiac activity or
blood flow, and forms a biometric security key based on the
time interval between consecutive heart beats.The time
interval betweenconsecutiveheartbeats(interpulseinterval,
IPI) has previously been suggested for securing mobile-
health solutions. This time interval is known to contain a
degree of randomness, permitting the generation of a time-
and person-specific identifier. It is commonly assumed that
only devices trusted by a person can make physical contact
with him/her, and that this physical contact allows each
device to generate a similar identifier based on its own
cardiac recordings. Under these conditions, the identifiers
generated by different trusted devices can facilitate secure
authentication. Recently, a wide range of techniques have
been proposed for measuring heartbeats remotely, a
prominent example of which is remote
photoplethysmography (rPPG).
Fig 1.1 Heat Beat Security
Automated security is one of the major concerns in
modern time where secure and reliable authentication is in
great demand. However, traditional authenticationmethods
such as password and smart card are now outdated because
they can be lost, stolen and shared. In this project, biometric
system based on heartbeat signals which is also known as
Electrocardiographic (ECG) signalsisproposed.Heartbeat is
chosen as modality due to an individual’s ECGsignalscannot
be faked. Compared to fingerprint it can be fooled with fake
fingers, face can be extracted using user’s photo and voice
can be imitated conveniently. As ECGsignalsarereflection of
the mechanical movement of the heart, these features
contain unique physiological information which make them
a promising authentication technology.
A Report From Binghamton University Had Proved
it.Scientists from the Binghamton University in New York
have explored with using a person'sheartbeatasa password
for encrypting and then decrypting personal data.
Researchers say that each person possesses a unique
electrocardiograph (ECG), which just like fingerprints and
iris, can be used for authentication.
Fig 1.2 Heart Beat Replace Passwords
T

1.1 Introduction to Heart Beat
Heart Beat Rate , also known as pulse, is the number of
times a person's heart beats per minute.The heart rate can
vary according to the body's physical needs, including the
need to absorb oxygen and excrete carbon dioxide. It is
usually equal or close to the pulse measured at any
peripheral point. Activities that can provoke change include
physical exercise, sleep, anxiety, stress, illness, and ingestion
of drugs.
Types of Heart Beat
Fig 1.3 Types of Heartbeat
Tachycardia is a fast heart rate, defined as above 100
bpm at rest.
Bradycardia is a slow heart rate, defined as below 60
bpm at rest.
When the heart is not beating in a regular pattern, this is
referred to as an arrhythmia.
1.2 Heart Beat Pattern
Fig 1.4 Heart Beat Pattern
One pulse(Beat) pattern = P-Q-R-S-T
2. WORKING METHADOLOGY
2.1 Block Diagram
2.1 WORKING:
The method used here is photoplethysmography.This
sensor is used to measure heartbeat, that is it senses
the rate of flow of blood through arteries and provides
the electrical signals of the sensed heart rate. Hence
beat rate depends on the rate of flow of blood through
the arteries. Hence, it uses the bodily structure to
measure the heart rate. At this time some of the light
gets dispersed due to the beat rate and corresponding
signal is obtained as electrical signal. The signal
obtained from the photoplethysmography has small
amplitude very small and so an amplifier is used to
convert it to a suitable signal form for further
processing.Usually a bandpass filter has two cutoff
frequency between which it passes the signal without
any unwanted noises. Here we take frequency at P as
lower cutoff frequency and T as higher cutoff
frequency. The bandpass filter sends only the cardiac
cycle from PQRST to the ADC converter.Now an input
of required amplificationand required bandisgivento
the A to D converter.The amplified analog signal is
given as input to the ADC. The main function of this
unit is to convert the analog signal to the digital signal
using suitable sampling technique. Here we use ideal
sampling technique to get the corresponding digital
signal.Thus, this signal is given to the processor. The
processor has a set of instructions to convert the
corresponding digitalsignal(Binarycode)toGreycode
format.

The output from AD converter is given to the Aurdino
board which has been already fed with the suitable
program for grey code conversion. Thus the output is
fed to the Aurdino board (processor).The output from
the Aurdino board has been displayed in the 16*2 LCD
display.The pulse rateisdisplayedintheLCDdisplay. If
the sampled value matches with the pulse rate value,
the security key unlocks, Here we have used a DC
motor for an output unit.And if the Sampledvaluedoes
not match with the pulse rate value, it sends a OTP to
the registered numberwithin15seconds.HeretheOTP
has been generated using a GSM module which has
been fed with a suitable GSM coding.Thus the security
system is even protected in a more secure manner
using the OTP method.
2.2 BACKGROUND AND RELATED WORK
In this Section, we first compare HBBS to other
biometrics qualitatively, after which we discuss works
related to its security performance. HBBS is a form of
cardiovascular biometrics, which use the
characteristics of a person‟s cardiac cycle for entity
authentication. Cardiovascularbiometricsaretypically
based on an electrocardiogram (ECG), using either a
combination of various fiducial features (e.g., “ST-
slope”or “ST-interval”) or non-fiducial feature.This
makes it a suitable candidate for many Health
applications as.Heartbeatsaremeasurablethroughout
the body using many types of cardiovascular
recordings, including ECG, blood pressure (BP) and
Photoplethysmography (PPG).As such, it may be
measured through a wide spectrum of sensors and
locations (more universally than othercardiovascular
biometrics.
I
The least significant bits have the useful property of
changing rapidly if the number changes even slightly.
For example, if 1 (binary 00000001) is added to 3
(binary 00000011), the result will be 4 (binary
00000100) and three of the least significant bits will
change (011 to 100). By contrast, the three most
significant bits (MSBs) stay unchanged(000to000).In
this Section we describe the most commonly used
method for facilitating entity authentication in HBBS
based on the IPI, after which we present our improved
method using the ImPI. Entity authentication in HBBS
comprises two steps: Security-key generation by two
entities and entityauthentication, if these keys are
similar enough.
3.HARDWARE COMPONENTS
3.1 Heart Beat Sensor
Fig 3.1 Heart Beat Sensor
Heart beat sensor is used to measure the pulse
rate of heart in digital output.LED is used to detect the heart
rate. The normal heart beat range is 78 bpm. This providesa
direct output digital signal.
3.2 Amplifiers
An amplifier, electronic amplifier or (informally)
amp is an electronic device that can increase the power of a
signal (a time-varying voltage or current). It is a two-port
electronic circuit that uses electric power from a power
supply to increase the amplitude of a signal applied to its
input terminals, producing a proportionally greater
amplitude signal at its output.

3.3 Band Pass Filter
A band-pass filter, alsobandpassfilterorBPF,is
a device that passes frequencies within a certainrangeand
rejects (attenuates) frequencies outside that range.
3.4 Analog To Digital Converter
In electronics, an analog-to-digital converter
(ADC, A/D, or A-to-D) is a system that converts an analog
signal, such as a sound picked up by a microphone or light
entering a digital camera, into a digital signal. An ADC may
also provide an isolated measurement such as an electronic
device that converts an input analog voltage or current to a
digital number representing the magnitude of the voltage or
current.
3.5 Gsm Module For OTP Generation
Fig 3.2 Gsm Module
SIM800L is a miniature cellular module which allows for
GPRS transmission, sending and receiving SMS and making
and receiving voice calls. Low cost and small footprint and
quad band frequency support make this module perfect
solution for any project that require long rangeconnectivity.
After connecting power module boots up, searches for
cellular network and login automatically. On board LED
displays connection state (no network coverage - fast
blinking, logged in - slow blinking).
4. SAMPLING TECHNIQUE
A sample is a value or set of values at a point in time
and/or space.
A sampler is a subsystem or operation that extracts
samples from a continuous signal.
Sampling is the reduction of acontinuous-timesignal
to a discrete-time signal. A common example is the
conversion of a sound wave (a continuous signal) to a
sequence of samples (a discrete-time signal).Like This
we use our continuous heartbeat“PQRST”waveintoa
sequence of samples ( Discrete Time Signal )
Fig 4.1 WaveForm of Signals
There are different types of sampling techniques
1. Natural sampling
2. Flat top sampling
3. Ideal sampling
1.Natural sampling is a practical method of sampling
in which pulse have finite width with time(t) carrier
wave.
2. Flat top sampling same as natural but tops of
carrier signal remains same with as sampled signal.
3.Ideal sampling has discrete amplitudeswithcarrier
wave .
There two different types of sampling
1.Upsampling
2.Down sampling
Upsampling is also known as interpolation which
increases the resolution of signal or image ,improves
anti aliasing filter performance and reduces noise.
ex:Picture zoom -in uses interpolation

Down sampling is also known as decimation
which reduces data size and image reduction
ex: Extraction of thumbnails from an image
The Output is not in continuous
 It is discrete by nature
 Using discrete signal code can be generated.
Applications
 Audio Sampling
 Speech Sampling
 Video Sampling
 3d Sampling
5. ADVANTAGES
 Portable system
 Save risk of Havking Your Password as you can
Only Access it
 Affordable system
 Improved Total 360 Security System
 Quick Access Featured Enabled
 This system can beusedinmanyplaceslike
banks,doors,lockers, securityroomandmoreand
more it will be used in high secured places like
armed forces for weapons prevention and also
used as security key generating tool.
6. CONCLUSIONS
Heart Beat Security System is a new security system
which should provide more secure authentication to
all.When compared to other security systems , this system
is more affordable and a unique security like our
fingerprints and eyes.In Our Existing System,
• Finger Print Scanner – Hacked by Using Silica gel
• Iris Scanner – Fails in Some Cases like Retinal
Damages
• Pass Code – Cracker By Hackers
• Voice Unlock – Throat Problems
• Facial Recognition – Fails in Some SituationsLike
Facial Surgery
Hence we Conclude that our project will be
a motivational one to all.Because , this project can’t work
100%.It mays have some Bugs in it .But we are almostly
done and corrected most of the issues that appears.
BEST KEY STRENGTH
FUTURE SCOPE
This Heart Based Security system has a huge
scope in future generations because there are more
number of flaws,bugs available in existing system such as
fingerprint recognition, voice unlock,facial recognition ,
password encryption,IRIS recognition.These systems
becomes weak and the security system goes down day by
day.In Future , a high security is needed to overcome the
Situations.So, Heart beat is very helpful in that because
heart beat is a unique like fingerprints and iris . And It can
used as altenative to all other security systems

7. WAY TO OVERCOME ISSUES
1.LIMIT LOGIN ATTEMPTS
FIG 7.1 LIMIT LOGIN ATTEMPTS
LIMIT THE NUMBER OF FAILED LOGIN ATTEMPTS PER USER. FOR
EXAMPLE, YOU CAN SAY AFTER 5 FAILED ATTEMPTS, LOCK THE USER
OUT TEMPORARILY.
2.ADDING SECONDARY SECURITY
Fig 7.2 Secondary Security
Every System fails in some situations in order to
overcome that failure issues we have to install another
secondary security systems.We can either use “IRIS
SCANNER” OR “OTP GENERATION”
3.PROVIDE MULTIPLE USER ACCESS
Fig 7.3 Multiple User Access
If the user is unluckily meet with any
accidents or any other health problems,heartbeat may
vary.or Even The user may dies in some situations so in
that the security becomes permanently locked.so to
overcome that this feature must be added.
4.GET NOTIFIED EVERY SECOND
Fig 7.4 Notification
You Will Get Notifications During Every Access of this
system . It will show up the limits you tried and limits
remaining.
REFERENCES
[1] [4] X. D. Yang,Q. H. Abbasi, A. Alomainy and Y. Hao,
"Spatial Correlation Analysis of On-Body Radio
Channels Considering Statistical Significance ", IEEE
Antenna and Wireless Propagation letter, Volume 10,
pp. 780-783, August 2011.
[2] H. Poor, An Introduction to Signal Detection and
Estimation. New York: Springer-Verlag, 1985, ch. 4.
[3] R. Di Bari, Q. H. Abbasi, A. Alomainy and Y. Hao, "An
Advanced Ultra Wideband Channel Model for Body-
Centric Wireless Networks", Progress In
Electromagnetics Research (PIER), Vol. 136, pp. 79-99,
2013..
[4] O. Aziz, B. Lo, R. King, A. Darzi, and Y. Guang-Zhong,
"Pervasive body sensor network: an approach to
monitoring the post-operative surgical patient," in
International Workshop on Wearable and Implantable
Body Sensor Networks, BSN 2006., 2006, pp. 4 pp.-1C.
[5] J.K.Sowbagya, “An approach to principles of Sampling
techniques”, Assist.Professor , Surya College Of
Engineering , Villupuram.
[6] [5] S.-D. Bao et al. Using the timing information of
heartbeats as an entity identifier to secure body
sensor network. In T-ITB, pp. 772-779, volume 12.
IEEE, 2008.
[7] M. P. Tulppo, T. Makikallio, T. Takala, T. Seppanen,
and H. V. Huikuri. Quantitative beat-to-beat analysis of
heart rate dynamics during exercise. American Journal
of Physiology-Heart and Circulatory Physiology,
271(1):H244–H252, 1996.
K. K. Venkatasubramanian, A. Banerjee, and S. K. S.
Gupta. Pska: usable and secure key agreement scheme
for body area networks. ITB, IEEE Trans. on,
14(1):60–68, 2010.

IRJET- Heart Beat Based Security System Using Sampling Technique

More Related Content

What's hot (20)

Similar to IRJET- Heart Beat Based Security System Using Sampling Technique (20)

More from IRJET Journal (20)

Recently uploaded (20)

IRJET- Heart Beat Based Security System Using Sampling Technique