1. BVV SANGHA’S
Basaveshwar Engineering College, Bagalkot.
Department of Electronics and Instrumentation Engineering
Mini Project Presentation on
SMART WHEELCHAIR FOR PHYSICAL DISABLED PERSONS
Project Associates
Iranna Mushigeri -2BA19EI006 Venkatesh Halemani -2BA19EI016
Prasanna Gunjeri -2BA18EI020 Mahantesh Hosamani -2BA17EI013
Project Guide
Dr. Chayalakshmi C. L
Project Co-ordinator Head of the Department
Dr. S. B. Kumbalavati Dr. K. Bhat
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2. CONTENTS
Problem Statement
Objectives
Literature Survey
Existing Method
Proposed Method
Comparison with Existing Method
Time Schedule
Reference
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3. PROBLEM STATEMENT:
“Design of smart wheel chair in which motion of wheelchair can
be controlled by the eye blink of a physically disabled persons.”
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4. OBJECTIVES
To identify the characteristics of relevant
sensors
To understand the interfacing techniques of
various sensors and programming of Arduino
Uno
To interface DC motors with Arduino Uno
using Driver Circuits
To understand the working principles of
motor driver circuits
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5. LITERATURE SURVEY:
C. Gomez - Carrasquilla, K. Quiros-Espinoza and A. Carrasquilla-Batista,
"Wheelchair control through eye blinking and IoT platform," 2020 IEEE 11th
Latin American Symposium on Circuits & Systems (LASCAS), 2020, pp. 1-4, doi:
10.1109/LASCAS45839.2020.9068989.
• Raspberry Pi 3
• Wireless LAN and Bluetooth
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6. LITERATURE SURVEY CONTD..
Al-Haddad, R. Sudirman, C. Omar, K. Y. Hui and M. R. Jimin, "Wheelchair
Motion Control Guide Using Eye Gaze and Blinks Based on PointBug
Algorithm," 2012 Third International Conference on Intelligent Systems
Modelling and Simulation, 2012, pp. 37-42, doi: 10.1109/ISMS.2012.23.
• EOG signals
• Eye gazing and blinking
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7. EXISTING METHOD
MOTION CONTROLLED WHEEL CHAIR CONTROLLED BY HEAD
MOVEMENT OF A PERSON.
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Figure.1 Block diagram of Motion Controlled Wheel Chair
8. PROPOSED METHOD
SMART WHEELCHAIR FOR PHYSICAL DISABLED PERSONS
Eye blink(IR)
sensor 1
Arduino
Uno
Controller
L298 dual
Motor driver 111111111111111
DC
motor 1
DC
motor 2
Castor wheels
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Figure.2 Block diagram of Smart Wheel Chair
Eye blink(IR)
sensor 2
Wheel Chair
9. COMPARISON WITH EXISTING METHOD
FUNCTION EXISTING METHOD PROPOSED
METHOD
• Motion of a wheelchair Head movements Blinking of eye
• Monitoring the blinking MEMS sensor IR sensors
of eye
• Cost Expensive Cheaper
• Application Less helpful More helpful
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10. TIME SCHEDULE:
Sl. No. Work to be done No. of weeks
1. Selection of components 1 week
2. Procurement of components 1 week
3. Study of Arduino and other
components
1 week
4. Sensor interfacing with Arduino 1 week
5. Developing the code for required
operation
1 week
6. Interfacing all the components 1 week
7. Report writing 1 week
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11. REFERENCES:
[1] C. Gomez - Carrasquilla, K. Quiros-Espinoza and A. Carrasquilla-Batista,
"Wheelchair control through eye blinking and IoT platform," 2020 IEEE 11th
Latin American Symposium on Circuits & Systems (LASCAS), 2020, pp. 1-4, doi:
10.1109/LASCAS45839.2020.9068989.
[2] Al-Haddad, R. Sudirman, C. Omar, K. Y. Hui and M. R. Jimin, "Wheelchair
Motion Control Guide Using Eye Gaze and Blinks Based on PointBug
Algorithm," 2012 Third International Conference on Intelligent Systems Modelling
and Simulation, 2012, pp. 37-42, doi: 10.1109/ISMS.2012.23.
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