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Paper ID:IJSREM18601

Design and Fabrication of Smart Wheelchair

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM18601

Volume:

7 |

4 |

Apr 2023

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM18601

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

BVB

B. Vaishnavi Bai

Department of Electrical and Electronics Engineering,

Ballari Institute of Technology and Management, Ballari, Karnataka, India

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FJ

Firdose Jahan

Department of Electrical and Electronics Engineering,

Ballari Institute of Technology and Management, Ballari, Karnataka, India

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DSR

Dakshayini Singh R

Department of Electrical and Electronics Engineering,

Ballari Institute of Technology and Management, Ballari, Karnataka, India

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BAS

Bibi Ayesha Siddika

Department of Electrical and Electronics Engineering,

Ballari Institute of Technology and Management, Ballari, Karnataka, India

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Abstract

Wheelchairs are important mobility aids for people with lower-limb disabilities; however, conventional manual wheelchairs require considerable physical effort and motorized smart wheelchairs are often expensive. This paper presents the design and fabrication of a low-cost smart wheelchair based on voice control, Bluetooth communication, ultrasonic obstacle detection, and GSM-based emergency notification. The proposed system uses an Android mobile phone as the user interface, an HC-05 Bluetooth module for wireless communication, an Arduino microcontroller for command processing, and an L298 motor driver for controlling the DC motors. Voice commands received from the mobile application are interpreted by the controller to produce forward, reverse, left, and right movements. An ultrasonic sensor continuously monitors the region in front of the wheelchair and stops the wheelchair when an obstacle is detected. An emergency switch is also incorporated to activate the GSM module and send an alert message to a predefined contact. The fabricated prototype successfully demonstrated voice-controlled movement, obstacle detection, and emergency-alert functionality. The report indicates a voice-command recognition performance of more than 95% under proper vocalization, with an overall reported project cost of approximately ₹10,000 including the wheelchair.

KEYWORDS

Smart wheelchair voice control Arduino Bluetooth HC-05 ultrasonic sensor GSM DC motor assistive technology.

Cite This Article

B. Vaishnavi Bai, Firdose Jahan, Dakshayini Singh R, Bibi Ayesha Siddika, "Design and Fabrication of Smart Wheelchair," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, pp. 1-6, Apr 2023. https://doi.org/10.55041/IJSREM18601

Full Article/Conclusion

This paper presented the design and fabrication of a smart wheelchair integrating voice-based wireless control, Arduino-based processing, DC motor actuation, ultrasonic obstacle detection, and GSM emergency communication. The prototype provides four-direction movement through commands transmitted from an Android mobile phone via Bluetooth. The ultrasonic sensor provides an automatic stopping mechanism when an obstacle is detected, while the emergency switch provides a means of requesting immediate assistance. The experimental outcome reported in the project demonstrates successful implementation of the major functions. The voice-control system recognized most commands with a reported accuracy exceeding 95% under proper vocalization, and the total reported project cost was approximately ₹10,000 including the wheelchair. The system therefore demonstrates the feasibility of developing a comparatively economical smart mobility aid. Further improvements in feedback control, IoT connectivity, indoor navigation, health monitoring, solar charging, and advanced mobility mechanisms can enhance the system's reliability and functionality.

References

[1] P. X. Liu, A. D. C. Chan, R. Chen, K. Wang, and Y. Zhu, Proceedings of the 2005 IEEE, Department of Systems and Computer Engineering, Carleton University, Ottawa, 2005. [2] D. Vijendra Babu, M. Thilak, A. Karthikeyan, V. Rajendran, and P. Suriyaprakash, “Biometric facial image encryption for secure image storage,” Journal of Chemical and Pharmaceutical Sciences, vol. 9, no. 4, pp. 2186–2188, 2016. [3] D. Gibbon, R. K. Moore, and R. Winski, Eds., Handbook of Standards and Resources for Spoken Language Systems. Mouton de Gruyter, 1997. [4] D. Vijendra Babu, D. K. Yadav, N. K. Yadav, and V. K. Verma, “MEMS based smart & secure home automation system with multi-way control & monitoring facility using smart phone,” Journal of Chemical and Pharmaceutical Sciences, Apr. 2015, pp. 357–359. [5] B. Gold and N. Morgan, Speech and Audio Processing. New York, NY, USA: John Wiley and Sons, 2000. [6] D. V. Babu, V. Saravanan, P. Kumar, and S. Singh, “Automated robotic receptionist with embedded touch screen,” Journal of Chemical and Pharmaceutical Sciences, Apr. 2015, pp. 415–417. [7] D. V. Babu, L. N. Reddy, Y. D. K. Reddy, V. Gautham, and K. S. Gopichand, “Acquisition of cardiac signals using sensors in smart phones,” Journal of Chemical and Pharmaceutical Sciences, Apr. 2015, pp. 436–438. [8] “Automatic Speech Recognition,” Institute for Signal and Information Processing, Mississippi State University, Apr. 2001  

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Publication Date

4/25/2023

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Review Rounds: 2

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