Avinash BCI based Wheelchair_real.ppt

AvinashJha810335 7 views 18 slides Aug 17, 2024
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About This Presentation

Brain Computer Interface dependent wheel chair


Slide Content

Heaven's Light is Our Guide
Design of An Intelligent Wheelchair for Handicap People Conducting by Body Movement
Paper ID- 553
Presented by
Authors
Imteaz Rahaman
Mubdi-Ul-Alam Sazid
Mubdi-Ul-Alam Sazid
Md Firoz Mahmud
Imteaz Rahaman
Saquib Shahriar
Mim Naz Rahman

Introduction
Literature Review
Design
Instrument list
Methodologies
Conclusion
Outline
Date: 03/07/2020 Design of An Intelligent Wheelchair for Handicap People Conducting by Body Movement Page : 02

1.About 1.85%(131,800,000) require the assistance of wheelchair
2.Traditional motor wheelchairs are controlled using a joystick. But some
patients are unable to use joystick due to the lack of force or psychomotor
problem.
3.This is the main motivation that inspired us to develop a smart wheel chair
which can be controlled using smart phone mainly using gesture.
Introduction
Date: 03/07/2020 Design of An Intelligent Wheelchair for Handicap People Conducting by Body Movement Page : 03

Title: The Design of Robotic Wheelchair Control System Based on Hand Gesture Control for the Disabled
Place and year of Publication : 2017 International Conference on Robotics and Automation Sciences
Author: Xiang Gao,Lei Shi & Qiang Wang
Year :2017
Research Concern: Gesture interaction, intelligent wheelchair, gesture tracking
Research Gap:
Color based target recognition is difficult due to the color of incident daylight, surface reflectance properties of the
target, illumination geometry and viewing geometry
Literature Review(1)
Date: 03/07/2020 Design of An Intelligent Wheelchair for Handicap People Conducting by Body Movement Page : 04

(2) Title: Toward Gesture Controlled Wheelchair: A Proof of Concept Study
Author: Noriyuki Kawarazaki, Dimitar Stefanov & Alejandro Israel Barragan Diaz
Place and year of Publication : 2013 IEEE International Conference on Rehabilitation Robotics
Research Concern: Image-recognition algorithm, Gesture Control
Research Gap :Need to develop the movement
(3) Title: A Novel Intelligent Wheelchair Control System Based
On Hand Gesture Recognition
Author: Yi Zhang, Jiao Zhang, Yuan Luo
Place and year of Publication :2011 IEEEIICME International Conference on Complex Medical Engineering
Research Concern: Develop a robust intelligent wheelchair control system based on hand gesture recognition
Research Gap : More classifiers need to be trained to recognize different hand posture for comfortable
Controlling
Literature Review (2)&(3)
Date: 03/07/2020 Design of An Intelligent Wheelchair for Handicap People Conducting by Body Movement Page : 05

1.To design a smart wheelchair to diminish the efforts and complexity of a traditional wheelchair
2.To design a gesture controlled wheelchair
3.To develop an android controlled wheelchair
4.To design an economy friendly design
5.To design a simple system so that anyone can use this.
Objectives
Date: 03/07/2020 Design of An Intelligent Wheelchair for Handicap People Conducting by Body Movement Page : 06
Gesture Control Android Control Obstacle Avoiding System

Design
Fig: Orthographic view of the proposed wheelchair.
Date: 03/07/2020 Design of An Intelligent Wheelchair for Handicap People Conducting by Body Movement Page : 07

Practical Implementation
Fig: Practical implementation of a prototype for the proposed wheelchair.
Date: 03/07/2020 Design of An Intelligent Wheelchair for Handicap People Conducting by Body Movement Page : 08

Structure design &
implementation-1
Arduino Mega-1
Arduino Nano-1
Gyro sensor MPU 6050-1
Sonar sensor-4
Instrument list
•Motor Driver VNH2SP30-1
•Motors-2
•Wheel 130 mm-2
•RF module RF TX RX 433M-1
•Bluetooth Module-1
•Lipo battery 1800 MAH-1
•Lid acid battery-1
•Charger-1
Name of the Component
Date: 03/07/2020 Design of An Intelligent Wheelchair for Handicap People Conducting by Body Movement Page : 09

Fig: Block Diagram of Hand gesture unit.
Block diagram of the system
Arduino Mega
Signal Reciever
Sonar Sensor
Bluetooth Module
DC Motor
Driver
DC Motor
Power Supply
Arduino Nano
Power Supply
Transmitter
MPU 6050
Fig: Block Diagram of Wheelchair Control Unit.
Date: 03/07/2020 Design of An Intelligent Wheelchair for Handicap People Conducting by Body Movement Page : 10

1.MPU 6050 is used here to detect the motion of the hand
2.By the movement of hand it will move forward, backward, left
& right.
3.An Arduino nano is used as a controller
4.RF transmitter is used to send data to the main wheelchair
body
Hand Gesture Control
Fig: Direction by hand gesture for the proposed smart wheelchair.
Date: 03/07/2020 Design of An Intelligent Wheelchair for Handicap People Conducting by Body Movement Page : 11

1.The direction control of the wheelchair is set on the android software.
2.By touching the direction, it will send the signal to the wheelchair through Bluetooth module HC-05.
3.The Bluetooth module receives the signal and gives command the motor driver to move to its given command.
Smart phone control
Fig: Smart Phone control interface for the proposed model.
Date: 03/07/2020 Design of An Intelligent Wheelchair for Handicap People Conducting by Body Movement Page : 12

1.A tilt sensor is set in the project. The sensor is also known as earthquake
sensor.
1.It has been used to observe the deflection of the wheelchair.
1.If the wheelchair falls in to an accident and fall in to the ground it will
light up and inform people about the accident.
Emergency System
Date: 03/07/2020 Design of An Intelligent Wheelchair for Handicap People Conducting by Body Movement Page : 13

1.This feature will keep the wheelchair away from the obstacles and stops it immediately.
2.For this obstacle avoiding system, sonar sensor has been used.
3. sonar sensor has been used in this project. Sensors has been set in the front side, left side, right side, back side.
4.Whenever it gets any obstacles in its surrounding it will not execute its operation. It will stop from a limited
distance
Obstacle Avoiding System
Date: 03/07/2020 Design of An Intelligent Wheelchair for Handicap People Conducting by Body Movement Page : 14

• control a wheelchair with gesture control and a smartphone that has been successfully completed.
• This is done at a minimum cost and can be made for every person with a disability to lessen their pain
Conclusion
Date: 03/07/2020 Design of An Intelligent Wheelchair for Handicap People Conducting by Body Movement Page : 15

1.J. Long, Y. Li, H. Wang, T. Yu, J. Pan and F. Li, "A Hybrid Brain Computer Interface to Control the Direction and Speed of a Simulated or Real Wheelchair," in IEEE Transactions on Neural Systems and
Rehabilitation Engineering, vol. 20, no. 5, pp. 720-729, Sept. 2012.
1.R. Zhang et al., "Control of a Wheelchair in an Indoor Environment Based on a Brain–Computer Interface and Automated Navigation," in IEEE Transactions on Neural Systems and Rehabilitation Engineering,
vol. 24, no. 1, pp. 128-139, Jan. 2016.
2.I. Rahaman, M. F. Reza, M. H. H. Hasib, M. I. Hossain, S. M. A. Hossain and P. K. Sarkar, "A Low Cost Intelligent Multi Wireless Sensor Network Perspective on Real Time Traffic Surveillance," 2019
International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, pp. 1-4,2019.
3.A. K. Dalsaniya and D. H. Gawali, "Smart phone based wheelchair navigation and home automation for disabled," 2016 10th International Conference on Intelligent Systems and Control (ISCO), Coimbatore,
pp. 1-5, 2016.
4.A. Tayab Noman, M. S. Khan, M. Emdadul Islam and H. Rashid, "A New Design Approach for Gesture Controlled Smart Wheelchair Utilizing Microcontroller," 2018 International Conference on Innovations in
Science, Engineering and Technology (ICISET), Chittagong, Bangladesh, pp. 64-68, 2018.
5.P. Dey, M. M. Hasan, S. Mostofa and A. I. Rana, "Smart wheelchair integrating head gesture navigation," 2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST),
Dhaka, Bangladesh, pp. 329-334, 2019.
6.S. Nasif and M. A. G. Khan, "Wireless head gesture controlled wheel chair for disable persons," 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), Dhaka, pp. 156-161, 2017.
7.J. Long, Y. Li, H. Wang, T. Yu, J. Pan and F. Li, "A Hybrid Brain Computer Interface to Control the Direction and Speed of a Simulated or Real Wheelchair," in IEEE Transactions on Neural Systems and
Rehabilitation Engineering, vol. 20, no. 5, pp. 720-729, Sept. 2012.
8.J. K. Desai and L. Mclauchlan, "Controlling a wheelchair by gesture movements and wearable technology," 2017 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, pp. 402-403,
2017.
9.S. U. Khadilkar and N. Wagdarikar, "Android phone controlled voice, gesture and touch screen operated smart wheelchair," 2015 International Conference on Pervasive Computing (ICPC), Pune, pp. 1-4, 2015.
10.S. He et al., "A P300-Based Threshold-Free Brain Switch and Its Application in Wheelchair Control," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 25, no. 6, pp. 715-725, June
2017.
11.R. Zhang et al., "A BCI-Based Environmental Control System for Patients With Severe Spinal Cord Injuries," in IEEE Transactions on Biomedical Engineering, vol. 64, no. 8, pp. 1959-1971, Aug 2017.
12.P. Jha, and P. Khurana, "Hand Gesture Controlled Wheelchair"
 IJCTA , vol. 9, no. 41, pp. 243-249, 2016.
References

•For further implemention we need to install higher frequency RF module.
•GPS tracker can be installed in wheelchair for navigation.
•For continuous measure the heart rate of the patient, a heart rate monitor can be implemented
•To know about the wheelchair condition and battery charge, a display can be set in the wheelchair.
Future Work
Date: 03/07/2020 Design of An Intelligent Wheelchair for Handicap People Conducting by Body Movement Page : 17

For More information : [email protected]
Thank You!
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