The document describes a project to develop a robotic wheelchair that can be controlled using eye blink sensors and an accelerometer. The wheelchair would also allow the user to control home appliances like lights and fans. The proposed system uses an Arduino microcontroller along with eye blink sensors, an accelerometer, motors, and other components. A preliminary prototype was developed that allows wheelchair movement and steering via eye blinks and head tilts, as well as appliance control. The authors conclude that the eye response system works well for wheelchair control and aim to add more sensors to improve user interaction.

1. Final Year Project Phase-2 (Review1)
on
“ROBOTIC WHEELCHAIR USING EYE BLINK
SENSORS AND ACCELEROMETER
PROVIDED WITH HOME APPLIANCE
CONTROL”
Proje
ct
Group
No. 20
Name of the Student University SeatNumber
Ms. Rohini Mathapati 2BU17EC043
Mr. Sourabha Joshi 2BU17EC061
Mr. Sumeet Gurav 2BU17EC063
Ms. Uma Patil 2BU17EC069
Under the Guidance of
Prof. Narayan Badiger
Assistant Professor, Dept. of E&CE
S. G. Balekundri Institute of Technology, Belagavi-10
S. S. Education Trust’s
S. G. BALEKUNDRI INSTITUTE OF TECHNOLOGY
( Approved by AICTE New Delhi & Affiliated to VTU, Belagavi )
SHIVABASAVA NAGAR, BELAGAVI – 590010, KARNATAKA - INDIA

2. ROBOTIC WHEELCHAIR USING EYE BLINK SENSORS AND ACCELEROMETER PROVIDED WITH HOME APPLIANCE CONTROL
December 11,
2022
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3. Contents
 Abstract
 Introduction
 Related Work
 Problem Statement
 Objectives
 Proposed Methodology
 Results and Discussion
 Advantages and Applications
 Conclusion and Future Scope
 References
 Supervisor Details
 Project Team Details
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ROBOTIC WHEELCHAIR USING EYE BLINK SENSORS AND ACCELEROMETER PROVIDED WITH HOME APPLIANCE CONTROL

4. Abstract
• According to a new report prepared jointly by the World Health Organization and the
World Bank, 15 percent of the world‘s population is disabled.
• The use of powered wheelchairs with high navigational intelligence is one of the great
steps towards the integration of severely physically disabled and mentally handicapped
people.
• Driving a wheelchair is a tedious task for severely handicapped persons, unless they
use the tongue to control the joystick.
• Simultaneously blind and paraplegic people deal with two problems, which creates
uneasy situation for them.
ROBOTIC WHEELCHAIR USING EYE BLINK SENSORS AND ACCELEROMETER PROVIDED WITH HOME APPLIANCE CONTROL
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5. Introduction
• A powered wheelchair is a device designed
to assist walking or otherwise improve
the mobility of disable person.
• It can controlled by different kinds e.g.
joystick or head control which may not be
able to reached for all people so use of eye
controlled wheelchair by using eye tracker is
possible to control.
.
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ROBOTIC WHEELCHAIR USING EYE BLINK SENSORS AND ACCELEROMETER PROVIDED WITH HOME APPLIANCE CONTROL

6. Related Work
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ROBOTIC WHEELCHAIR USING EYE BLINK SENSORS AND ACCELEROMETER PROVIDED WITH HOME APPLIANCE CONTROL
AUTHOR TITLE YEAR SUMMARY LIMITATIONS
C.Nelson
Nikita S.
Badas
R.W.C using EBS
and Acc provided
with home
Appliances
2014 This allows the end user to perform safe
movements & accomplish some daily life
important tasks. This uses eye blink and head tilt
movement to move the wheelchair.
• Eye motion is difficult to control at times
and becomes difficult to give directions to
the wheelchair.
R. Divya
Akila Aniyan.
Automatic
wheelchair with
eventual
application
2015 User can command and control some home
appliances like lighting ON and OFF mechanism,
Head movements are used for directing and
control.
• They are significantly heavier than
manual wheelchair.
• They are difficult to transport.
• You will need to be conscious of power
usage.
R. Leela
A. Joshi
B. Agasthiya
U. K Arthiee
E. Jameela
S. Youshita
Android Based
Automated
wheelchair
control
2017 The handicapped person gives their voice to the
android mobile, output of the mobile is given to
the microcontroller and the proposed system
moment is controlled using Bluetooth module
with the help of DC motor.
• Requires smartphone for operation as a
accelerometer is the main device over
which thwe main system is dependent.
• Battery recharging is needed so
smartphone battery and battery to drive
the motor have to periodically recharge
and maintained.
A.A Mohmd
N.F Khaiuudin
R. Jailani
L.H Basisun
Motorised
wheelchair with
multicontrol
system
2020 This motorized wheelchair assists the disable
people to gain confident level to reach their
destination. The motorized wheelchair consists of
few interesting features such as allow the user to
whether to control the wheelchair using eye
moment or by using mobile application.
• Time consuming to use.
• Wheelchair user must be dependent on
others for securement.
• Often difficult to identify appropriate
securement locations on wheelchair.

7. Problem Statement
A segment of disabled community finds it difficult or impossible to use
wheelchairs independently. The population includes ,but is not limited to
individuals with low muscular power, spasticity, tremors or cognitive deficits.
These individuals often lack independent mobility and rely on a caregiver to
push them in a manual wheelchair.
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ROBOTIC WHEELCHAIR USING EYE BLINK SENSORS AND ACCELEROMETER PROVIDED WITH HOME APPLIANCE CONTROL

8. Objectives
• Assuring collision free travel aiding the performance of specific tasks.
• Productivity about steering and manuring tasks. Assuring easy control.
• Eye blink sensors are used to provide mobility to the wheelchair.
• To provide independent mobility to individual neutralizing the caretaker.
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ROBOTIC WHEELCHAIR USING EYE BLINK SENSORS AND ACCELEROMETER PROVIDED WITH HOME APPLIANCE CONTROL

9. Proposed Methodology
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GENERAL BLOCK DIAGRAM OF WHEELCHAIR CONTROL
Micro
Controller
(Arduino
UNO)
Eye Blink
Sensor (IR
sensor)
Accelerometer
(ADXL335)
aADC
BBattery
Obstacle sensor
(Ultrasonic sensor)
DC Motor1
DC Motor 2
DC
Motor
Driver
(L298N)
RF
Transmitter
ROBOTIC WHEELCHAIR USING EYE BLINK SENSORS AND ACCELEROMETER PROVIDED WITH HOME APPLIANCE CONTROL

10. Proposed Methodology (cont….)
GENERAL BLOCK DIAGRAM OF HOME APPLIANCE CONTROL
December 11,
2022
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Micro
Controller
(Arduino
UNO)
Accelerometer
(ADXL335)
ADC
RF
Receiver
Light
Relay
Fan
Relay
ROBOTIC WHEELCHAIR USING EYE BLINK SENSORS AND ACCELEROMETER PROVIDED WITH HOME APPLIANCE CONTROL

11. Results & Discussions
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ROBOTIC WHEELCHAIR USING EYE BLINK SENSORS AND ACCELEROMETER PROVIDED WITH HOME APPLIANCE CONTROL
The wheelchair that is controlled by Eye Blink Sensor and the Accelerometer is
successfully designed. We are also able to control the various devices in the
room from the wheelchair itself using the Accelerometer.

12. Receiver part
Results & Discussions
(Cont..)
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ROBOTIC WHEELCHAIR USING EYE BLINK SENSORS AND ACCELEROMETER PROVIDED WITH HOME APPLIANCE CONTROL
Steering of the wheelchair using the eye
blink sensor and accelerometer

13. Comparison of Proposed Model
The proposed method is compared with existing method and it is found that the
performance of the proposed method is better than the existing method in terms of
productivity, collision free travel, accuracy

14. Advantages
• User Friendly.
• Reduces the human activity.
• Reduces the physical strain.
• Helpful for the paralysis stroke people who don’t have stamina in the hands.
• Spontaneous output.
• Increases the number of disabled people in employment.
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ROBOTIC WHEELCHAIR USING EYE BLINK SENSORS AND ACCELEROMETER PROVIDED WITH HOME APPLIANCE CONTROL

15. Applications
• Hospitals.
• Health care centers.
• Old age home.
• Physically handicapped individuals.
• Home.
• As a robot to carry goods in industries.
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ROBOTIC WHEELCHAIR USING EYE BLINK SENSORS AND ACCELEROMETER PROVIDED WITH HOME APPLIANCE CONTROL

16. Conclusion and Future Scope
• This project presents the model of a wheelchair that is controlled using eye blink sensors and
accelerometer.
• Eye blink sensor is used to control the start and stop motion of the wheelchair. The
accelerometer is controlled by the head tilt motion and is used to steer the wheelchair.
• Along with making the movement and control of the wheelchair easy for a handicapped
person we also try to provided a way to communicate with the various devices in the room
again using head tilt motion and through a RF transmitter receiver.
• To make the system more interact with patient we have to add some additional sensors.
Based on the results obtained we conclude that the eyeball response towards normal subjects
and hemiplegic patients is very prominent and gives a wide range of movements. Thus the
wheel chair moves in all required directions with good response.
ROBOTIC WHEELCHAIR USING EYE BLINK SENSORS AND ACCELEROMETER PROVIDED WITH HOME APPLIANCE CONTROL
December 11,
2022
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17. References
[1]Manuel Mazo, Francisco J. Rodriguez, Josil. L,Zaro, Jesiis Ureia, Juan C. Garcia “Wheelchair for
Physically Disabled People with Voice, Ultrasonic and Infrared Sensor Control”, Autonomous Robots,
1995, Volume 2, Issue 3, PP 203-224
[2]Sonal Awasthi & Prof. Atul Joshi “MEMS Accelerometer Based System for Motion Analysis”,
INTERNATIONAL CONFERENCE ON ELECTRONICS AND COMMUNICATION SYSTEMS(ICECS ),
2015 .
[3]C.Nelson Nikita S. Badas “R.W.C using EBS and Acc provided with home Appliances”, 2014.
[4]R. Divya Akila Aniyan “Automatic wheelchair with eventual application”, IJSTE - International Journal of
Science Technology & Engineering, Volume 2 , Issue 05, November 2015
[5]A.A Mohd, N.F Khaiuudin, R. Jailani, L.H Basisun “Motorised wheelchair with multicontrol system”,
University of New South Wales, 2020.
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ROBOTIC WHEELCHAIR USING EYE BLINK SENSORS AND ACCELEROMETER PROVIDED WITH HOME APPLIANCE CONTROL

18. Supervisor Details
Prof. Narayan A. Badiger
Assistant Professor
Dept., of Electronics & Communication Engineering
S. G. Balekundri Institute of Technology
Belagavi-590010, Karnataka, India.
Email: narayanab@sgbit.edu.in
Phone: 8861492074
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ROBOTIC WHEELCHAIR USING EYE BLINK SENSORS AND ACCELEROMETER PROVIDED WITH HOME APPLIANCE CONTROL
https://scholar.google.com/citations?hl=en&us
er=FTBPorgAAAAJ
https://www.researchgate.net/profile/Narayan
-Ab-2
Google Scholar
Research Gate

19. Project Team Details
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ROBOTIC WHEELCHAIR USING EYE BLINK SENSORS AND ACCELEROMETER PROVIDED WITH HOME APPLIANCE CONTROL
Ms. Uma S. Patil is a student of Electronics and Communication Engineering from S. G. Balekundri
Institute of Technology, Belagavi. She is a member of Electronics and Telecommunication Engineers
(IETE). She has completed one month internship program on Internet of Things and embedded c. Her
research interest includes Internet of Things and Automation.
Ms. Rohini M. Mathapati is a student of Electronics and Communication Engineering from S. G. Balekundri
Institute of Technology, Belagavi. She is a member of Electronics and Telecommunication Engineers (IETE).
She has participated in workshops on Internet of Things and also completed one month internship program on
Sensors. Her research interest includes Internet of Things and Automation.
Mr. Sourabha Joshi is a student of Electronics and Communication Engineering from S. G.
Balekundri Institute of Technology, Belagavi. He is a member of Electronics and Telecommunication
Engineers (IETE). He has participated in workshops on Internet of Things and also completed one
month internship program on Python_ML. His research interest includes Internet of Things and
Automation.
Mr. Sumeet Gurav is a student of Electronics and Communication Engineering from S. G. Balekundri
Institute of Technology, Belagavi. He is a member of Electronics and Telecommunication Engineers
(IETE). He has participated in workshops on Internet of Things and also completed one month
internship program on Sensors. His research interest includes Internet of Things and Automation.

20. Thank You
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ROBOTIC WHEELCHAIR USING EYE BLINK SENSORS AND ACCELEROMETER PROVIDED WITH HOME APPLIANCE CONTROL