Advanced and Intelligent Wheel chair control system
Abstract
This project aims to design a prototype wheelchair
that offers multiple control methods for enhanced
accessibility and ease of use. The wheelchair can be
controlled via a joystick and four pushbuttons for
manual operation, while also incorporating MEMS
sensors for wireless control through RF (Radio
Frequency) technology. To ensure safety, the
wheelchair is equipped with an IR sensor that
detects obstacles in its path and triggers an alert
using a buzzer. The movement of the wheelchair can
be directed in multiple ways, including forward,
reverse, left, right, and stop, providing the user with
flexible and responsive navigation options. This
design aims to improve the mobility and
independence of individuals with physical
disabilities, offering both manual and remote
control functionalities for ease of use in various
environments.
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References
[1] Jain, A., & Gupta, M. (2018). "Design and
Development of Assistive Technology for Disabled
People Using IoT." International Journal of
Engineering and Technology (IJET). This paper
discusses the development of assistive technologies,
including wheelchairs, and explores the integration
of IoT for improving mobility for disabled
individuals.
[2] Rani, S., & Kumar, R. (2020). "Wheelchair
Automation System with Obstacle Detection and
Voice Control." Journal of Robotics and Automation
(JRA). This article covers the use of various control
mechanisms, including voice control, for enhancing
wheelchair mobility and safety, with a focus on
automation and obstacle detection.
[3] Zhou, L., & Wang, Z. (2017). "Design of
Intelligent
Wheelchair
System
Using
Microcontroller." International Journal of Robotics
and Automation (IJRA). This paper provides
[1] Jain, A., & Gupta, M. (2018). "Design and
Development of Assistive Technology for Disabled
People Using IoT." International Journal of
Engineering and Technology (IJET). This paper
discusses the development of assistive technologies,
including wheelchairs, and explores the integration
of IoT for improving mobility for disabled
individuals.
[2] Rani, S., & Kumar, R. (2020). "Wheelchair
Automation System with Obstacle Detection and
Voice Control." Journal of Robotics and Automation
(JRA). This article covers the use of various control
mechanisms, including voice control, for enhancing
wheelchair mobility and safety, with a focus on
automation and obstacle detection.
[3] Zhou, L., & Wang, Z. (2017). "Design of
Intelligent
Wheelchair
System
Using
Microcontroller." International Journal of Robotics
and Automation (IJRA). This paper provides
[4] Pustokhina, I., & Novikova, A. (2016).
"Design of an Autonomous Wheelchair for Disabled
People with Obstacle Detection." Proceedings of the
International Conference on Robotics and Automation. This reference discusses advanced
wheelchair systems with obstacle detection,
including the use of sensors and intelligent
algorithms for navigating complex environments.
[5] Patel, A., & Dey, S. (2019). "Joystick
Controlled Wheelchair with Obstacle Avoidance
System." Journal of Engineering and Technology
(JET). This article explores the design and
implementation of joystick-controlled wheelchairs
with obstacle avoidance and safety mechanisms,
which aligns with the functionality of the project
described.
[6] Amirabdollahian F., Ates S., Basteris A., et al.
Design, development and deployment of a
hand/wrist
exoskeleton
for
home-based
rehabilitation after stroke - SCRIPT project.
Robotica. 2019.
[7] Mónica Faria B., Vasconcelos S., Paulo Reis
L., Lau N. Evaluation of distinct input methods of an
intelligent wheelchair in simulated and real
environments: a performance and usability study.
Assistive Technology. 2018;25(2):88–98.
[8] Urdiales C., Peula J., Barrue C., et al. A new
multi-criteria optimization strategy for shared
control
in
wheelchair assisted navigation.
Autonomous Robots. 2018;30(2):179–197.
