Abstract: applications fail to capitalize on all of

Abstract: An EEG based controlled wheelchair is
proposed in this paper. The paper
is based on brainwaves which are collected through a device that is mind wave
mobile. These waves are recorded using EEG (electroencephalography). The
signals which are recorded are digitally processed. Electroencephalography
(EEG) is an important tool for studying the temporal dynamics of the human
brain’s large-scale neuronal circuits. However, most EEG applications fail to
capitalize on all of the data’s available information, particularly that
concerning the location of active sources in the brain. Localizing the sources
of a given scalp measurement is only achieved by solving the so-called inverse
problem. Proposed system deals with the extraction of alpha signal from frontal
lobe of cortex and processes this signal using microcontroller. This system incorporates
various applications of controlling.  In
this paper we have considered controlling of general robotics devices due to
their commercial scope. With an emphasis on bringing BMI technology out of the
laboratory and into the home, this paper aims to investigate the potential of
producing a reliable, cost-effective and efficient in-home BMI application for
users in the general community. The paper provides assistant to the handicapped
people to move around.

 

 

I. 
Introduction

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Mindwave mobile for virtual
environment & human-machine systems is capable of Brainwave interaction,
without risking human life or limb, the paper has applications in the field of
medical for the handicapped people. In order to represent the robotic
technology in the field of human-machine interaction and wireless communication
for allows interactivity in real-time with virtual objects it is very necessary
to develop some or the other technology that makes the maximum use of robot to
help people do their work in an efficient way in their day to day life. The
main motive of the paper is to design and develop a robot that is used to move
using wireless system by nowadays manual wheelchairs are available which
requires specific assistance of a person to carry the disabled person to
different locations, With an EEG controlled wheelchair, you don’t have to
depend on someone else to push the chair, allowing you the independence of
moving about. Minimal efforts are required to move the wheelchair around.

 The speed of
the wheelchair is controlled by the concentration level of the person so
accidents are avoided as in panic situations the concentration level goes down
to zero It is a technological advancements of Electric wheelchairs available in
the market with greater efficiency.

Recognizing the concentration level provided by the Mindwave
mobile will support the accelerometer.

 

                                II. Literature survey

 

The paper presented by
Brendon Allison in 2009 was based on Brain computer interface which defines
several parameters of brain signals, these signals were also segregated by the
frequency i.e. Alpha, Beta, Gama, Delta.

 

The research done by
Anglicare in 2008 was based on response to the inquiry into the provision of
assistive technology and equipment for people with disabilities, which deals
with the different concentration level of disable person.

 

 

III. Paper work

 

SOFTWARE USED

Arduino
simulator 

       HARDWARE
USED

Arduino
Mega BoardEEG moduleMotor Assembled wheel chair 

As a communication and
control pathway to directly translate brain activities into computer control
signals, brain-computer interface (BCI) has attracted increasing attention in
recent years from multiple scientific and engineering disciplines as well as
from the public. Offering augmented or repaired sensory-motor functions, it
appeals primarily to people with severe motor disabilities. Furthermore, it
provides a useful test-bed for the development of mathematical methods in brain
signal analysis.

 

 

 

           A conceptual block
diagram of overview of BCI

                                
System.

 

 

An important issue in BCI
research is cursor control, where the objective is to map brain signals to
movements of a cursor on a computer screen. Its potential applications are well
beyond “cursor control”, e.g. it can also be used in BCI-based
neuro-prostheses. In the EEG-based BCI field, most related studies were focused
on one dimensional (1-D) cursor control, which was generally implemented through
detecting and classifying the changes of mu (8-12 Hz) or beta (13-28 Hz) rhythm
during different motor imagery tasks (e.g. imagination of left- and right-hand
movement).

 

Therefore, based on the first report of an EEG-based
system, the authors showed that through guided user training of regulating two
particular EEG rhythms (mu and beta), two independent control signals could be
derived from combinations of the rhythmic powers. The downside of the approach
is with the required intensive user training

 

A Brain Computer Interface device requires deliberate
conscious thoughts; some thought alone BCI applications includes prosthetic
control, collecting information from never, etc.

 

IV. WORKING

A.    Electric Wheelchairs Stop Accidental
Rolling

Once a manual wheelchair gets rolling,
it can be hard to stop. Whether it’s on a ramp or in San Francisco, a manual
wheelchair can be prevented from rolling if you put the brakes on but are much
harder to stop once they get rolling.

Electric wheelchairs, on the other hand,
can be slowed down and stopped with just the movement of the accelerometer. The
power that makes it go is also an excellent way of making it stop.

They’re sturdier

Weight can be one of the most daunting
aspects of power wheelchairs, especially if you plan to take it anywhere. But
that weight can also be a positive. Because the centre of gravity is lower with
electric wheelchairs, they’re much more difficult to tip over. This means that
they’re more solid when it comes to front-to-back tipping and side-to-side
tipping. Weight has its advantages.

B.    They Offer Constant Power

If you’re at a park and in a manual
wheelchair, you or the person pushing you has to take into account the trip
back to the starting point. A person who has lot energy at the start can get
very tired moving a wheelchair around before too long. That means an exhausting
trip back.

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