For Details Contact: A.VINAY-9030333433, 0877-2261612.

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23 Φεβ 2014 (πριν από 3 χρόνια και 10 μήνες)

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For Details Contact: A.VINAY
-
9030333433, 0877
-
2261612.


BIOMETRIC AUTHENTICATION USING MOUSE

GESTURE DYNAMICS


ABSTRACT




The mouse dynamics biometric is a behavioral biometric technology that extracts and analyzes
the movement
characteristics of the mouse input device when a computer

user interacts with a graphical
user interface for identification

purposes. Most of the existing studies on mouse dynamics analysis

have
targeted primarily continuous authentication or user

re

authe
ntication for which promising results have
been achieved.

Static authentication (at login time) using mouse dynamics,

however, appears to face some
challenges due to the limited

amount of data that can reasonably be captured during such

a process. In this
paper, we present a new mouse dynamics

analysis framework that uses mouse gesture dynamics for static

authentication. The captured gestures are analyzed using a learning

vector quantization neural network
classifier. We conduct an

experimental evaluation o
f our framework with 39 users, in which

we achieve a
false acceptance ratio of 5.26% and a false rejection

ratio of 4.59% when four gestures were combined,
with a test

session length of 26.9 s. This is an improvement both in the

accuracy and validation sam
ple,
compared to the existing mouse

dynamics approaches that could be considered adequate for static

authentication. Furthermore, to our knowledge, our work is the

first to present a relatively accurate static
authentication scheme

based on mouse gesture
dynamics.


The gesture creation module is a simple drawing application

used to ask the participant to freely
draw a predefined set of

gestures. The main purpose of this module is to make the

participant draw the
gestures in his own way to replicate them

la
ter on. It is important to note here that the gestures are

not tied
to any language and they do not necessarily have

a meaning. They can be any drawing that can be
produced

in a uni
-
stroke. Also, the gesture creation module serves as a practice step for th
e participants to
get familiar with the idea

of drawing mouse gestures.







For Details Contact: A.VINAY
-
9030333433, 0877
-
2261612.


EXISTING SYSTEM

The raw acceleration signals of hand motions generated by the accelerometer and
collected by the microcontroller. Due to human nature, our hand always trembles slightly while
moving, and which causes certain amount of noise.


DISADVANTAGES



the development

of a portable digital pen with a trajectory recognition algorithm



We utilize a high
-
pass filter to remove the gravitational acceleration from the filtered
acceleration to obtain accelerations caused by hand movement.


PROPOSED SYSTEM

We tackle this chal
lenge by proposing, in this paper,

a new mouse dynamics recognition
framework that allows in this context, we propose a new approach in which the

user draws
.
In this study,
we developed a pen
-
type portable device and a trajectory recognition algorithm. The

pen
-
type portable
device consists of a triaxial accelerometer, a microcontroller, and an RF wireless transmission
module. The acceleration signals measured from the triaxial accelerometer are transmitted to a
computer via the wireles
s module. Users can utilize this digital pen to write digits and make hand gestures
at normal speed.




ADVANTAGES



An accelerometer
-
based digital pen for handwritten digit and gesture trajectory recognition
applications.



The system is intuitive, and
tracing the naturalness of the handwriting proves to be of excellent
acceptance;



Information is traceable back to a specific pen and data is time
-
stamped for added accountability.






For Details Contact: A.VINAY
-
9030333433, 0877
-
2261612.




BLOCK DIAGRAM

DIGITAL PEN
SECTION
:















PC

SECTION














ATMEL

AT89S52



RF

TRANSCEIVER



MOVING
AVERAGE
PREDICTOR


SIGNAL
CONDITION
ER






MICRO

CONTROLLER


RF

TRANSCEIVER


UART


PC


UART


For Details Contact: A.VINAY
-
9030333433, 0877
-
2261612.







MATERIALS DIAGRAM


For Details Contact: A.VINAY
-
9030333433, 0877
-
2261612.









For Details Contact: A.VINAY
-
9030333433, 0877
-
2261612.


HARDWARE REQUIREMENTS



MICROCONTROLLER



Takes the value of MEMS and transmits the corresponding signal to
the PC wirelessly.



ADC


Converts the analog signal of sensor to digital signal



RF WIRELESS TRANSCEIVER


Transmits the signal wirelessly to the receiver section



TRIAXIAL A
CCELEROMETER


Senses the movement in 3
-

axis (x, y, z)



UART



Used for serial communication of microcontroller and PC



PC


To displayed the text form for the corresponding movement of MEMS


SOFTWARE REQUIREMENTS



KEIL CROSS COMPILER



EMBEDDED C



VISUAL
BASIC