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BRAIN CONTROLLED CAR FOR DISABLED USING ARTIFICIAL INTELLIGENCE SEMINAR REPORT


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ABSTRACT

This paper considers the
development of a brain driven car, which would be
of great help to the physically disabled people.
Since these cars will rely only on what the
individual is thinking they will hence not require
any physical movement on the part of the
individual. The car integrates signals from a
variety of sensors like video, weather monitor,
anti-collision etc. it also has an automatic
navigation system in case of emergency. The car
works on the asynchronous mechanism of artificial
intelligence. It’s a great advance of technology
which will make the disabled, abled. In the 40s
and 50s, a number of researchers explored the
connection between neurology, information theory,
and cybernetics. Some of them built machines that used electronic networks to exhibit rudimentary
intelligence, such as W. Grey Walter's turtles and
the Johns Hopkins Beast. Many of these
researchers gathered for meetings of the
Teleological Society at Princeton and the Ratio
Club in England.


INTRODUCTION

The video and thermogram analyzer
continuously monitor activities outside the car.
A brain-computer interface (BCI), sometimes
called a direct neural interface or a brain-machine
interface, is a direct communication pathway
between a human or animal brain (or brain cell
culture) and an external device. In one-way BCIs,
computers either accept commands from the brain or
send signals to it (for example, to restore vision) but
not both. Two-way BCIs would allow brains and
external devices to exchange information in both
directions but have yet to be successfully implanted
in animals or humans.In this definition, the word brain means the
brain or nervous system of an organic life
form rather than the mind. Computer means any
processing or computational device, from simple
circuits to silicon


BIOCONTROL SYSTEM

he biocontrol system
integrates signals from various other systems and
compares them with originals in the database. It
comprises of the following systems:
ο‚• Brain-computer interface
ο‚• Automatic security systemAutomatic navigation system
Now let us discuss each system in detail.


BRAIN – COMPUTER INTERFACE

Brain-computer interfaces
will increase acceptance by offering
customized, intelligent help and
training, especially for the non-expert user.
Development of such a flexible interface
paradigm raises several challenges in the
areas of machine perception and
automatic explanation. The teams doing
research in this field have developed a
single-position, brain-controlled switch that
responds to specific patterns detected in
spatiotemporal electroencephalograms
(EEG) measured from the human
scalp. We refer to this initial design as the
Low- Frequency

TEST RESULTS COMPARING DRIVER ACCURACY WITH/WITHOUT BCI

Able-bodied subjects using imaginary
movements could attain equal or better control
accuracies than able-bodied subjects using real
movements.
2. Subjects demonstrated activation accuracies in
the range of 70-82% with false activations
below 2%.
3. Accuracies using actual finger movements
were observed in the range 36-83%
4. The average classification accuracy of
imaginary movements was over 99%The principle behind the whole
mechanism is that the impulse of the human
brain can be tracked and even decoded. The
Low-Frequency Asynchronous Switch Design
traces the motor neurons in the brain. When the
driver attempts for a physical movement, he/she
sends an impulse to the motor neuron. These
motor neurons carry the signal to the physical
components such as hands or legs. Hence we
decode the message at the motor neuron to
obtain maximum accuracy. By observing the
sensory neurons we can monitor the eye movement
of the driver


AUTOMATIC NAVIGATION SYSTEM

As the computer is based on
artificial intelligence it automatically monitors
every route the car travels and stores it in its
map database for future use. The map database is
analyzed and the shortest route to the
destination is chosen. With traffic monitoring
system provided by xm satellite radio the
computer drives the car automatically. Video
and anti-collision sensors mainly assist this drive
by providing continuous live feed of the
environment up to 180 m, which is sufficient for
the purpose


AUTOMATIC SECURITY SYSTEM

The EEG of the driver is
monitored continually. When it drops less
than 4 Hz then the driver is in an unstable


CONCLUSION

When the above requirements are
satisfied and if this car becomes cost effective
then we shall witness a revolutionary change in
the society where the demarcation between the
abler and the disabled vanishes. Thus the
integration of bioelectronics with automotive
systems is essential to develop efficient and
futuristic vehicles, which shall be witnessed soon
helping the disabled in every manner in the field of
transportation