Voice Controlled Wheel chair is a mobile wheel chair whose motions can be controlled by the user by giving specific voice commands. The speech recognition software running on a PC is capable of identifying the 5 voice commands ‘Run’, ‘Stop’, ‘Left’, ’Right’ and ‘Back’ issued by a particular User. This system controls the wheel chair as well as read the parameters of patient.
This project is to develop a wheel chair for physically disabled people
The wheel chair is controlled by hand movement/hand gestures
The gestures are recognized by an accelerometer sensor
An ultrasonic sensor is used to detect the obstacles in front of the chair
The signals from the sensors are processed, and the wheel chair is controlled by Atmega-328 micro controller
New development in sensors, radar and ultrasonic technologies has proved to be a boon for electronics
travelling aids (ETAs). These devices are widely used by blind and physically challenged peoples. C5 laser
cane, Mowat sensor, belt and binaural sonic aid, NAV guide cane are among popular electronic travelling
aids used by blind peoples. For physically challenged person electric wheel chairs controlled by joystick,
eye movement and voice recognition are also available but they have their own limitation in terms of
operating complexity, noise environment and cost. Our paper proposes an automated innovative
wheelchair controlled by neck position of person. It uses simple LEDs, photo sensor, motor and
microcontroller to control the movement of wheelchair
Voice Controlled Wheel chair is a mobile wheel chair whose motions can be controlled by the user by giving specific voice commands. The speech recognition software running on a PC is capable of identifying the 5 voice commands ‘Run’, ‘Stop’, ‘Left’, ’Right’ and ‘Back’ issued by a particular User. This system controls the wheel chair as well as read the parameters of patient.
This project is to develop a wheel chair for physically disabled people
The wheel chair is controlled by hand movement/hand gestures
The gestures are recognized by an accelerometer sensor
An ultrasonic sensor is used to detect the obstacles in front of the chair
The signals from the sensors are processed, and the wheel chair is controlled by Atmega-328 micro controller
New development in sensors, radar and ultrasonic technologies has proved to be a boon for electronics
travelling aids (ETAs). These devices are widely used by blind and physically challenged peoples. C5 laser
cane, Mowat sensor, belt and binaural sonic aid, NAV guide cane are among popular electronic travelling
aids used by blind peoples. For physically challenged person electric wheel chairs controlled by joystick,
eye movement and voice recognition are also available but they have their own limitation in terms of
operating complexity, noise environment and cost. Our paper proposes an automated innovative
wheelchair controlled by neck position of person. It uses simple LEDs, photo sensor, motor and
microcontroller to control the movement of wheelchair
The man has been suffering with diseases and weired. Visually challenged people are blind people who are very common and difficult to deal with in their way. The main aim of this paper is to the visually challenged people with a better navigation tool. This smart walking stick is more sophisticated than a traditional walking stick. It uses a microcontroler to detect an obstacles in front, left, right side of a person. It is based on ultrasonic sensors for distance measurement property. For obstacle indication, there is voice playback which helps to mention a direction of obstacles around a visually challenged person by sensors. Along with this a receiver and buzzer placed on a stick .If the person missing a stick which can be find out by buzzer sound .This sound is induced when switch on a remote controller by visually challenged people .GPS also include in stick to find a visually challenged people.
it is a smart wheelchair which uses voice and bluetooth commands . Also consists of temperature and heartbeat sensors for continuous monitoring by the doctor.
Design and Development of Secure Navigation System for Visually Impaired Peopleijcsit
The proposed work presents a navigation system, which detects the obstacles and also guide to visually impaired people about appropriate path. The system we propose detects the obstacle via an infrared based detecting system and sends back vibro-tactile or sound (buzzer) feedback to inform the user about its position. The most common method of obstacle detection, used by blind people is the walking stick. The limitation of walking stick is that, it does not provide protection near to head area. A sensor module is fixed on a light weight cap allowing the user to obtain the information about obstacles (near to head area) and also about correct path on which the user should move. When the user uses this system with cane, he is fully protected about obstacles and can navigate freely into the environment.
This system is based on sensors and microcontroller. The features are to detect the obstacle for collision avoidance and it detects the object in directions left, right, down and front. The system is composed of the ultrasonic sensor, IR sensor and Arduino Mega 2560. It has a low cost and lightweight system design. By using these three items, it senses the distance with sensors and the blind stick frame is designed. And then send distance data to Arduino mega2560 controller. In emergency situations, the blind walker knows the distance or safe area for themselves. Ma Naing | Nwe Nwe Oo | May Thwe Oo "Smart Blind Walking Stick Using Arduino" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26601.pdfPaper URL: https://www.ijtsrd.com/engineering/electrical-engineering/26601/smart-blind-walking-stick-using-arduino/ma-naing
The man has been suffering with diseases and weired. Visually challenged people are blind people who are very common and difficult to deal with in their way. The main aim of this paper is to the visually challenged people with a better navigation tool. This smart walking stick is more sophisticated than a traditional walking stick. It uses a microcontroler to detect an obstacles in front, left, right side of a person. It is based on ultrasonic sensors for distance measurement property. For obstacle indication, there is voice playback which helps to mention a direction of obstacles around a visually challenged person by sensors. Along with this a receiver and buzzer placed on a stick .If the person missing a stick which can be find out by buzzer sound .This sound is induced when switch on a remote controller by visually challenged people .GPS also include in stick to find a visually challenged people.
it is a smart wheelchair which uses voice and bluetooth commands . Also consists of temperature and heartbeat sensors for continuous monitoring by the doctor.
Design and Development of Secure Navigation System for Visually Impaired Peopleijcsit
The proposed work presents a navigation system, which detects the obstacles and also guide to visually impaired people about appropriate path. The system we propose detects the obstacle via an infrared based detecting system and sends back vibro-tactile or sound (buzzer) feedback to inform the user about its position. The most common method of obstacle detection, used by blind people is the walking stick. The limitation of walking stick is that, it does not provide protection near to head area. A sensor module is fixed on a light weight cap allowing the user to obtain the information about obstacles (near to head area) and also about correct path on which the user should move. When the user uses this system with cane, he is fully protected about obstacles and can navigate freely into the environment.
This system is based on sensors and microcontroller. The features are to detect the obstacle for collision avoidance and it detects the object in directions left, right, down and front. The system is composed of the ultrasonic sensor, IR sensor and Arduino Mega 2560. It has a low cost and lightweight system design. By using these three items, it senses the distance with sensors and the blind stick frame is designed. And then send distance data to Arduino mega2560 controller. In emergency situations, the blind walker knows the distance or safe area for themselves. Ma Naing | Nwe Nwe Oo | May Thwe Oo "Smart Blind Walking Stick Using Arduino" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26601.pdfPaper URL: https://www.ijtsrd.com/engineering/electrical-engineering/26601/smart-blind-walking-stick-using-arduino/ma-naing
EYE SCRUTINIZED WHEEL CHAIR FOR PEOPLE AFFECTED WITH TETRAPLEGIAijcseit
Nowadays the requirement for developing a wheel chair control which is useful for the physically disabled
person with Tetraplegia. This system involves the control of the wheel chair with the eye moment of the
affected person. Statistics suggest that there are 230,000 cases of Tetraplegia in India. Our system here is
to develop a wheelchair which make the lives of these people easier and instigate confidence to live in
them. We know that a person who is affected by Tetraplegia can move their eyes alone to a certain extent
which paves the idea for the development of our system. Here we have proposed the method for a device
where a patient placed on the wheel chair looking in a straight line at the camera which is permanently
fixed in the optics, is capable to move in a track by gazing in that way. When we change the direction, the
camera signals are given using the mat lab script to the microcontroller. Depends on the path of the eye,
the microcontroller controls the wheel chair in all direction and stops the movement. If there is any
obstacle to be found before the wheel chair the sensor mind that and it stop and move in right direction
immediately. The benefit of this system is too easily travel anywhere in any direction which is handled by
physically disabled person with Tetraplegia.
EYE SCRUTINIZED WHEEL CHAIR FOR PEOPLE AFFECTED WITH TETRAPLEGIAijcseit
Nowadays the requirement for developing a wheel chair control which is useful for the physically disabled
person with Tetraplegia. This system involves the control of the wheel chair with the eye moment of the
affected person. Statistics suggest that there are 230,000 cases of Tetraplegia in India. Our system here is
to develop a wheelchair which make the lives of these people easier and instigate confidence to live in
them. We know that a person who is affected by Tetraplegia can move their eyes alone to a certain extent
which paves the idea for the development of our system. Here we have proposed the method for a device
where a patient placed on the wheel chair looking in a straight line at the camera which is permanently
fixed in the optics, is capable to move in a track by gazing in that way. When we change the direction, the
camera signals are given using the mat lab script to the microcontroller. Depends on the path of the eye,
the microcontroller controls the wheel chair in all direction and stops the movement. If there is any
obstacle to be found before the wheel chair the sensor mind that and it stop and move in right direction
immediately. The benefit of this system is too easily travel anywhere in any direction which is handled by
physically disabled person with Tetraplegia.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
E YE S CRUTINIZED W HEEL C HAIR FOR P EOPLE A FFECTED W ITH T ETRAPLEGIAijcsit
Nowadays the requirement for developing a wheel cha
ir control which is useful for the physically disab
led
person with Tetraplegia. This system involves the c
ontrol of the wheel chair with the eye moment of th
e
affected person. Statistics suggest that there are
230,000 cases of Tetraplegia in India. Our system h
ere is
to develop a wheelchair which make the lives of the
se people easier and instigate confidence to live i
n
them. We know that a person who is affected by Tetr
aplegia can move their eyes alone to a certain exte
nt
which paves the idea for the development of our sys
tem. Here we have proposed the method for a device
where a patient placed on the wheel chair looking
in a straight line at the camera which is permanent
ly
fixed in the optics, is capable to move in a track
by gazing in that way. When we change the directio
n, the
camera signals are given using the mat lab script t
o the microcontroller. Depends on the path of the e
ye,
the microcontroller controls the wheel chair in all
direction and stops the movement. If there is any
obstacle to be found before the wheel chair the sen
sor mind that and it stop and move in right directi
on
immediately. The benefit of this system is too easi
ly travel anywhere in any direction which is handle
d by
physically disabled person with Tetraplegia
EYE SCRUTINIZED WHEEL CHAIR FOR PEOPLE AFFECTED WITH TETRAPLEGIAijcseit
Nowadays the requirement for developing a wheel chair control which is useful for the physically disabled person with Tetraplegia. This system involves the control of the wheel chair with the eye moment of the affected person. Statistics suggest that there are 230,000 cases of Tetraplegia in India. Our system here is to develop a wheelchair which make the lives of these people easier and instigate confidence to live in them. We know that a person who is affected by Tetraplegia can move their eyes alone to a certain extent which paves the idea for the development of our system. Here we have proposed the method for a device where a patient placed on the wheel chair looking in a straight line at the camera which is permanently fixed in the optics, is capable to move in a track by gazing in that way. When we change the direction, the camera signals are given using the mat lab script to the microcontroller. Depends on the path of the eye, the microcontroller controls the wheel chair in all direction and stops the movement. If there is any obstacle to be found before the wheel chair the sensor mind that and it stop and move in right direction
immediately. The benefit of this system is too easily travel anywhere in any direction which is handled by physically disabled person with Tetraplegia.
EEG Acquisition Device to Control Wheelchair Using ThoughtsVivek chan
With the advancements in technology and health-care facilities, the number of senior citizens has increased and thus the number of elderly who find it difficult to walk. Hence there is a need for designing a wheelchair that is user friendly and involves fewer complexities. In this context, we propose a thought controlled wheelchair, which uses the captured signals from the brain and process it to control the wheelchair. This wheelchair can also be used by the physically challenged who depend on others for locomotion. Rehabilitation centers at hospitals can also make use of this wheelchair. In this paper, we explain the design and analysis of the thought-controlled wheelchair. In addition, we present some of the experiments that were carried out and the corresponding results in this paper.
http://www.vivek-chan.in
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
BRAIN Computer Interface (BCI) is a technique that
provides direct interface between the human brain and the
computer. BCI techniques are broadly classified into
invasive and non-invasive techniques. Non-invasive
techniques are becoming more popular and more research is
being done on this topic. There are various non-invasive BCI
techniques such as EEG, Electro-Oculography. EEG technique
deploys an electrode cap that is placed on the user’s scalp for
the acquisition of the EEG signal, which relates the scalp
potential differences to various complex actions. Classification
of the EEG signal has been made into several bands like alpha,
beta, delta, theta and mu suppression, each corresponding to
various states of being like relaxing, ranging over 8-14 Hz;
concentrating, ranging over 13-30 Hz; deep sleep, from 0-4
Hz; meditating from 4-8 Hz; moving your hands or legs or just
by imagining these motor actions respectively. As it is being
non-invasive in nature, it has an advantage over traditional
BMI, not being hazardous to health. With the advent of
technology the EEG acquisition devices are made more
compact, handy and wireless. Using the above mentioned
technique, a simple thought controlled wheelchair system has
been proposed in this paper. A section that briefly explains the
various blocks included in the system is also added in this
paper
IOSR Journal of Electrical and Electronics Engineering(IOSR-JEEE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electrical and electronics engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electrical and electronics engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal of Engineering and Science Invention (IJESI)inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online
1. AUTOMATED INNOVATIVE WHEELCHAIR
N.S.N COLLEGE OF ENGINEERING AND
TECHNOLOGY, KARUR.
T.NARMATHA,
K.P.R.RAMYA,
III-ECE.
ABSTRACT
New development in sensors, radar and ultrasonic
technologies has proved to be a boon
forelectronicstravelling aids (ETAs). These devices
are widely used by blind and physically challenged
peoples. C5 lasercane, Mowat sensor, belt and
binaural sonic aid, NAV guide cane are among
popular electronic travellingaids used by blind
peoples. For physically challenged person electric
wheel chairs controlled by joystick,eye movement and
voice recognition are also available but they have
their own limitation in terms ofoperating complexity,
noise environment and cost. Our paper proposes an
automated innovativewheelchair controlled by neck
position of person. It uses simple LEDs, photo sensor,
motor andmicrocontroller to control the movement of
wheelchair.
KEYWORDS
Joystick, Sensor, Transmitter, Receiver
INTRODUCTION
Electric power wheelchairs have become
increasingly important as assistive technology
and rehabilitation device and the number of
users has grown considerably. Normally wheel
chairs are controlled by joystick; however this
may not suitable for some disabled people. In
modern technology, the HMI based techniques
include joysticks controller, finger movement,
voice recognition, eye-gaze tracking, electro-
myography, etc. These technologies are already
included in wheelchairs which are made for the
purposes. But proposed wheelchair include a
newly invented technology termed as AIW
(Automated Innovative Wheelchair). Handicap
person cannot operate joystick wheelchair,
whereas in eye tracking wheelchair operator is
not free to visualize the adjacent surroundings
when system is active, and voice recognition
based wheelchair cannot be operated properly in
noisy environment. The proposed wheelchair is
specially designed for the purpose of eliminating
high cost and also for those who are amputees.
Automated innovative wheelchair is a wireless
system designed for the physically handicapped
person specially or the quadriplegic patients.
This is a type of moving unit which even can be
easily driven by those who do not have arms or
legs or both. Neck-movement of the patient will
control the motion of the wheelchair. It
incorporates LEDs and photo-sensors to
accomplish this task. LEDs and Phototransistors
give better response in all environments. This
Proposed chair can be operated in almost all
kinds of environments as these components are
less sensitive to environmental variations. The
motion of the neck after exceeding the set value
will generate the command signal. Command
signal generated at the transmitting end is
checked at the receiver side thrice in order to find
whether the received signal is command or
noise.If any of the received three signals is
mismatched, then the command is discarded.
The additional features include obstacle
detection & pot-hole detection, thereby self-
ceasing in both the circumstances, alarm to
the user in case of such hazards.
2. MATERIAL AND METHODS
2.1. A typical joystick controlled
wheelchair
Controllers are most commonly an arm-rest
mounted joystick which may have additional
controls to allow the user to tailor sensitivity or
access multiple control modes. The controller
may be swing-away to aid in side-transfers. For
users who are unable to use a hand controller
various alternatives are available such as sip-
and-puff controllers, worked by blowing into a
sensor. In some cases the controller may be
mounted for use by an aide walking behind the
chair rather than by the user. Capabilities include
turning one drive wheel forward while the other
goes backward, thus turning the wheelchair
within its own length [1].Joystick controlled
Power chairs may be designed for indoor,
outdoor or indoor/outdoor use. A typical indoor
power chair will be narrow and short, to enable
better manoeuvring around tight environments [2].
2.2. Finger Movement Tracking
Wheelchair
2. AUTOMATED INNOVATIVE WHEELCHAIR
In this system, the wheelchair can be controlled
by a combination of three fingers. One finger
controls the speed of the wheelchair while the
other two fingers control the directions of the
wheelchair. There is flexibility that we can use
only two fingers instead of three to control the
direction while letting the system to control the
speed automatically. For the purpose of tracking
the movement of fingers, the flex-sensors are
used. The finger movement tracking system
revolves around flex sensor. Flex sensor is
basically a resistive strip whose resistance is
directly proportional to bending. The flex sensor
is worn on the finger and the bending of the
finger, in turn, bends the resistive strip thereby
increasing the resistance of the strip. This
change of resistance is used in generation of
command signals [3].
2.3. Wheelchair based on voice
recognition
In order to benefit the end users who have lost
control of their upper extremities due to injury,
illness or disability, a speech recognition system
is designed to be one of the steering control
components of the MWA [4]. The user can
communicate with this type of system by giving
voice command. This voice command is
predefined for each operation supported by the
wheelchair. Suppose, if operator is willing to go
towards right side then he/she just has to say
right and after receiving this command the
wheelchair will go in right direction. Similarly,
other commands such as start, stop, etc. can be
given.
2.4. Eye tracking based wheelchair
When the case is worse all other technique
becomes useless. In some critical cases, in
which the person is unable to move the parts of
the body even unable to speak in such cases eye
controlled wheelchair can be very effective. In
this case, the different commands for the
wheelchair are derived from the
electrooculography (EOG) potential signals of
eye movements. A system for electric wheelchair
control using the eyes was proposed in 2007 [5].
A commercially available web camera on a head-
mounted display (HMD) which the user wears is
used to capture moving pictures of the user’s
face. A computer mounted on the electric chair
processes the captured image data, detecting
and tracking movements of the user’s eyes,
estimating the line-of-sight vector, and actuating
the electric wheelchair in the desired direction
indicated by the user’s eyes.
2.5. EMG based electric power wheelchair
EMG based EPWs control can be separated into
two main groups, Pattern recognition and non
pattern recognition. In pattern recognition–based
EMG systems a classifier is used to identify or
recognize signal patterns that are extracted from
raw data in the form of features [6]. The pattern
recognition method depends directly on the
features selected and the extraction and
classification methods, of which there are variety
[7]. This variety causes a problem for
researchers in identifying the optimum
combination of extraction and classification
methods. In recent times, a number of
classification methods have been used in an
effort to improve the quality of the control of
EPWs [8].
3. PROPOSED WHEELCHAIR SYSTEM
3.1. Transmitter Section
Figure:1 Transmitter section
Transmitter section consists of neck movement
sensor, encoder, and transmitter. Depending on
these assemblies the control signal is generated
for the wheelchair
3.1.1. Neck movement sensor
Most sensors are electrical or electronic,
although other types exist. A sensor is a type of
transducer. Sensors are either direct indicating
(e.g. a mercury thermometer or electrical meter)
or are paired with an indicator (perhaps indirectly
through an analog to digital converter, a
computer and a display) so that the value sensed
becomes human readable. In addition to other
applications,sensors are heavily used in
medicine, industry and robotics. Technical
progress allows more and more sensors to be
manufactured with MEMS technology. In most
cases this offers the potential to reach a much
higher sensitivity. There are various way to track
movement of neck like ultraviolet, infrared,
switches etc. But we have selected infrared
sensor due to their better performance. In
3. AUTOMATED INNOVATIVE WHEELCHAIR
infrared sensor photodiode detect the incoming
signal due to absorption phenomenon. In our
system we will provide three points at which
LED’s and photodiodes/transistors can align to
generate one of the control signal which is
predefined. The user will be able to give two
commands to this wheelchair i.e. right and left.
For controlling the straight direction there is no
additional sensor. For moving the wheelchair in
the forward direction you just have to align any of
the LED and photodiode/phototransistor and look
straight. And for stopping it just bow the head for
two seconds. After stopping the wheelchair user
is free to move his neck but have to take care
that light should not fall on any of the photo
sensors else the wheelchair will turn on. In short
there is restriction on neck movement. But for
user convenience we have taken care that will
permit the user to move the neck around 600-700
degree in either direction.
3.1.2. Encoder
The encoder used is HT12E. When there is any
movements in neck then the signal is generated
which needs to be transmitted. To transmit the
signal efficiently encoder is used. There are
number of sensors in the unit and hence the
signals from all the sensors must be transmitted
and this task is accomplished by the encoder
section. Basically it is a parallel to serial
converter. It receive number of data at same time
and it convert these all signal and give serial
output. Parallel to serial conversion rate depend
on oscillator frequency or clock frequency. To
reduce complexity we have used the device
which is having internal oscillator, and we can
control the frequency by changing resistance
value. Encoder is nothing but series of flip flop
which stores data in parallel manner and give
output serially. In every encoder there is one
terminal enable pin. Whenever terminal enable
pin is active then encoder performs encoding
operation otherwise it doesn’t care about any
input.
3.1.3. Transmitter
To transmit the encoded signal transmitter is
necessary. Selection of transmitter depends on
the type of input or whether input is digital signal
or analog signal. If the signal is analog then we
can use either amplitude modulation(AM) or
frequency modulation(FM). And if the encoded
signal is digital in nature then we can use
amplitude shift keying(ASK), Frequency shift
keying(FSK), Quadrature phase shift
keying(QPSK), phase shift keying(PSK),etc. In
our system encoded data is in digital form hence
we have used amplitude shift keying (ASK). The
transmitter used in the system fulfils all our
requirements such as range data transfer rate
etc . There are various ASK module available in
Market and it operates in VHF/UHF and ISM
bands.
3.2. Receiver Section
Figure:2 Receiver section
3.2.1. Receiver
It receives the signal transmitted by the
transmitter. Receiver performs demodulation
operation after receiving signal. Tune frequency
of transmitter and receiver must be same. At the
receiving antenna numbers of waves are present
but due to tuning the desired frequency signal
are selected and all other signals are rejected. In
market various RF modules are available which
gives good performance.
3.2.2. Decoder
The decoder used is HT12D. It may happen that
more than one transmitter can come in the range
of the receiver. Hence with the intention to avoid
the confusion at the receiver side addressing
technique is used. This encoder and decoder
have 8 bit address i.e. 256 combinations of
address can be generated. The receiver will
receive the data from the transmitter with which
its address matches. As the number of data
converted or encoded in serial form and
transmitted by the transmitter. At receiver it is
necessary to convert the data back into the
original form which was before encoding. To do
so decoder is used. Decoder is nothing but
series of flip flop it receives data serially and
stores it. When all the flip flops are loaded then
the data is made available at the output in
4. AUTOMATED INNOVATIVE WHEELCHAIR
parallel manner. To ensure proper decoding
encoding rate and decoding rate must be same.
3.2.3. Pothole detector
To avoid any accident numbers of provision are
taken in wheelchair. This Wheelchair is partially
autonomous, it can take many decision by itself.
To avoid any damage due to potholes, sensors
are installed in wheelchair. There are various
way to detect obstacles. We can use ultrasonic
Transceiver. In ultrasonic Transceiver signal is
transmitted by the transmitter and the time taken
by the receiver to receive the reflected signal is
proportional to the depth of pothole. Other way to
detects potholes is infrared Transceiver. In our
system we are using infrared transceiver. The
distance from which infrared can reflect is
dependent on the bias voltage applied to it. We
have used this principal to detect potholes. For
this infrared is placed near the wheel. The
infrared is biased to a voltage to obtain reflection
continuously from the ground. Whenever there is
increase in distance the reflection ceases and
this interrupts the control units which will halt the
system.
3.2.4. Obstacle detector
For further safety purpose there is a provision in
the wheelchair to detect the obstacles and take
the safety decisions. Obstacle detector will detect
any obstacle in front of wheelchair. When it finds
any obstacle it interrupts the control unit to take
desire action. There are two way to detect
obstacle either ultrasonic method or infrared
method. We are using ultrasonic transceiver
module SL HC SR 04. The speed of the
ultrasonic wave produced by this module is
29.034usec/cm. On providing a pulse of 10usec
this module transmits 8 pulses at a frequency of
40KHz this pulse are reflected back and the
ranging of the obstacle is done on the basis of
time taken by the reflected pulses to reach the
receiver. Depending on time as the wave
proceeds from the transmitter and gets reflected
back to the receiver this module generates a high
pulse on its echo pin. The maximum distance
from which this wave can reflect is 17m at an arc
of 7.5 degree on either side. In our system we
have decreased this range to 1m. To achieve this
we have programmed our system accordingly.
We have set one reference time which is the time
required to obtain the reflection from a distance
of 1m. The 10usec pulse and the reference timer
is triggered almost at the same instant. If at the
end of this reference time we are still obtaining a
high pulse on echo pin that means the obstacle
is not in the range of 1m and 10usec pulse is
applied again after the echo pin goes low(i.e.
after the time interval which is required to obtain
the reflection from a distance of 17m ).And if we
are obtaining a low on this pin that means there
is an obstacle in the range of 1m so the interrupt
is generated which will halt the system and allow
the user to move either right or left.
3.2.5. Chair status detector
For better efficiency and power saving this
detector will be used. The function of this
detector is to detect whether the person is on the
wheelchair or it is vacant. Whenever any person
sits on wheelchair then this detector will send
signal to the control unit and it will activate the
system else, the system will go into power saving
mode i.e. sleep mode. Here we have used micro
switches as a status detector.
3.2.6. Control unit
It’s a brain of all system. Control unit can be a
microprocessor or microcontroller. It is the
intelligence part of the unit which collects the
data from each sensor or detector and performs
different computation on data and according to
the result of different computation it takes
decision. It controls the motor speed and
direction by H Bridge methodology depending
upon program store in it. Crystal frequency must
be adjusted to ensure better performance. We
have used microcontroller in our wheelchair
because it provides on chip memory and better
flexibility.
3.2.7. H Bridge
To drive the DC motor in forward and reverse
direction H Bridge is necessary. Normally H
Bridge is made by using relays. Four relays are
connected in bridge it looks like an English
alphabet H and hence it is called H Bridge. It also
provides isolation. If we make H Bridge by using
relays for driving a motor it will isolate the high
voltage side from the low voltage side and thus it
protects damage due to freewheeling action.
3.2.8. Motor
Movement in wheelchair is done by motor. Motor
is responsible for movement of wheel chair.
Motor will be selected depending upon
requirement .i.e. maximum load, starting torque,
voltages ratings, current ratings, etc. In our
system we have used two motors.
4. IMPLEMENTATION
5. AUTOMATED INNOVATIVE WHEELCHAIR
The mentioned design will be implemented by
making the use of components listed below
1] Neck movement sensor: For detecting any
movement of neck we have used led’s and
photodiode in proper arrangement.
2] Encoder and Decoder: For encoding and
decoding purpose IC HT12E and HT12D is used.
3] Transceiver module: For wireless transmission
and reception purpose SM TX-433 AM/ASK and
SM RX-433 AM/ASK module is used respectively.
4] Obstacle detector: To detect any obstacle
coming in the path of wheelchair ultrasonic
transceiver moduleSL-HC-SR04 is used.
5] Potholes detector: To avoid any shocks due to
potholes infrared proximity transceiver module is
used.
6] Relays: HUI KE HK19F-DC 5V SHG is the
relay which has been used to form H-Bridge for
driving the motors.
7] Relay driving IC: IC ULN2803 is used for
driving the relays.
8] Motors: For moving the wheelchair DC motor
MY1016Z2 is used.
9] Controlling unit: Microcontroller 89V51RD2 is
used for controlling and commanding the
wheelchair by programming it accordingly.
5. CONCLUSIONS
Controlling technique in the proposed system is
unique and it is quite simple. Any type of
disabled person will able to operate this
wheelchair except those who are unable to turn
their neck. This proposed system could be a
boon for disables. This wheelchair can be made
more flexible in future by upgrading the
technologies used. User can give only 4
command signal to the wheel chair, which are
start, stop, left and right. This wheelchair will also
provide 3600 rotation. This wheelchair is also
provided with some intelligence with the help of
which, number of decisions can be taken by
wheelchair itself. This wheelchair is inspired from
Stephen Hawking’s wheelchair. In Stephen
hawking’s wheelchair the electromagnetic rays
that are generated by the mind is absorb and
depending upon these rays decision is taken. But
this process is extremely costly near about 4 to 5
lakhs investments are needed. And that’s why
we have designed the automated innovative
wheelchair which is comparatively cheap and
can be afforded by poor people. Our wheelchair
is almost a substitute for Stephen hawking’s
wheelchair. But, the difference is in the
controlling methods i.e. we have used the LED’s
and photo sensors. This paper could be a great
gift for the physically disabled if introduced at
industrial level with affordable cost. It could be
more than a leg for handicapped with of course
no pain since the system is automatic controlling
the movement.
6. REFERENCES
[1] Thomas R¨Ofer And Christian Mandel And Tim
Laue, June 23-26, In 2009 IEEE 11th International
Conference on:“Rehabilitation Robotics” Kyoto
International Conference Center, Japan,
[2] V.I. Pavlovic, R. Sharma, And T.S. Huang, “Visual
Interpretation Of Hand Gestures For Human-
Computer Interaction: A Review”, In IEEE transactions
On Pattern Analysis And Machine
Intelligence, July 1997,Vol. 19, Pp. 677-695.
[3] Fahad Wallam And Muhammad Asif, August 2011,
In International Journal Of Computer And
Electrical Engineering, on: “Dynamic Finger
Movement Tracking And Voice Commands Based
Smart Wheelchair”, Vol. 3, No. 4.
[4] Mazo, M., Rodrfguez, F.J., Lfizaro, J.L., Urefia, J.,
Garcia, J.C., Santiso, E., Revenga, R, and Garcia,
J.J. 1994b. Intelligent Electronic Control for a
Wheelchair Guided by Voice Commands and External
Sensors. AIRTC'94. pp. 385-390. Valencia (Spain).
[5] Arai K, Purwanto D, December 2007, In 7th
International Conference On Optimization: on
“Techniques And Applications of Electric Wheelchair
Control with the Human Eye”. Kobe, Japan
[6] I. Moon, M. Lee, J. Chu, And M. Mum, “Wearable
EMG-Based HCI For Electric-Powered
Wheelchair Users With Motor Disabilities,” In IEEE Int.
Conf. Robotics And
Automation,Barcelona,Spain, Pp.2649-54,Apr.2005.
[7] L. Wei, H. Hu, And K. Yuan, “Use Of Forehead Bio-
Signals For Controlling An Intelligent
Wheelchair,”In IEEE Int. Conf. Robotics And
Biomimetics, Bangkok, Thailand, Feb.2008 Pp.108-13,
[8] M. A. Oskei And H. Hu,” My electric Control
System-A Survey”, In Biomed. Signal Process.
Control, Oct 2007. Vol.2 ,No.4. Pp.275-94.