This document describes a proposed "brain driven car" that would be controlled solely through brain-computer interface technology to help disabled individuals. The car would use EEG sensors to monitor the driver's brain activity and interpret their thoughts to control vehicle functions like steering and navigation without physical movement. It would integrate an automatic security system to monitor the driver's alertness and an automatic navigation system to choose routes. The goal is for the technology to advance to a point where it can become cost effective and enable greater independence for disabled people.

1. Brain Driven Car
Submitted By
Sanjay Singh Kushwaha
(SG-196162)
AMIETE.(CSE)

2. Introduction
 Brain driven car which would be of great help
to the physically disabled people.
 These cars will rely only on what the individual
is thinking.
 Any physical movement on the part of the
individual is not required .
 a great advance of technology which will make
the disabled, abled.

3.  By BRAIN COMPUTER INTERFACE researchers are
able to produce artificial intelligence.
 Brain +computer = artificial intelligence
Artificial Intelligence

4.  The bio control system integrates signals from
various other systems
It comprises of :-
 Brain-computer interface
 Automatic security system
 Automatic navigation system
Bio Control System

5. Brain computer interface
 It sometimes called a direct
neural interface or a brain-
machine
 It is a direct communication
pathway between a human and
an external device.
 Two-way BCIs would allow brains
and external devices to exchange
information in both directions.

6.  The EEG of the driver is monitored
continually.
 When it drops less than 4 Hz then a message
is given to the driver for confirmation and
waits for sometime, to continue the drive.
Automatic Security System

7.  It automatically monitors every
route the car travels and stores
it.
 The map database is analyzed
and the shortest route to
the destination is chosen.
 By xm satellite radio the
computer drives the car
automatically.
Automatic navigation system

8.  EEG
(electroencephalogram)
 A wide screen of the
computer is placed at an
angle aesthetically suitable
to the driver.
 Each program can be
controlled either directly by
a mouse or by a shortcut.
EEG Transmission

9. The principle is that the impulse of the human brain
can be tracked and even decoded.
When the driver attempts
for a physical movement it
sends an impulse to the
motor neuron
It decode the message at the
motor neuron to obtain
maximum accuracy

10. Neuro Headset
It consists of 16 EEG
sensors.
EEG measures voltage
fluctuations resulting from
ionic current flows within the
neurons of the brain.
Resulted activity sends to the computer for
interpretation.
After interpretation the computer take action.

11. By observing the sensory neurons we can monitor
the eye movement of the driver.
The cursor on the screen moves w.r.t eye
movement of the driver

12. The sensors, which are placed at
the front and rear ends of the car,
send a live feedback of the
environment to the computer.
The steering wheel is turned
through a specific angle by
electromechanical
actuators.

13. Specialty of the car
 Once the driver nears the car. The security
system of the car is activated.
• If the image of the driver is matched with the
image previously fed into the database of the
computer. Then the security system passes to
the next phases
 Robotic arms assist the driver to his seat, As
soon as the driver is seated the EEG helmet is
placed on the drivers head

14. A brain-computer interface is a direct
communication pathway
between a human or animal brain and an
external device
BCIs would allow brains
and
external devices to
exchange information in
both
directions

15. CONCLUSION
 When the above requirements are satisfied
and if this car becomes cost effective
 we shall witness a revolutionary change
in the society
 Thus the integration of bioelectronics
with automotive systems is essential to
develop efficient and futuristic vehicles.

16. References
1.EEG guidelines
en.wikipedia.org/wiki/Electroencephalography
2. Artificial intelligence
Rajendra Akerkar
3. Brain Driver guidelines
autonomos-labs Freie university Berlin
www.autonomos-labs.com
4.Neuro headset
hplusmagazine.com/2009/03/18/epoc-
neuroheadset