Enhancing Accessibility and Comfort: A Smart Wheelchair with Advanced Features

J. Shiny*
Department of Computer Science and Engineering, DMI College of Engineering, Aralvaimozhi, Tamil Nadu, India.
Periodicity:July - December'2022
DOI : https://doi.org/10.26634/jic.10.2.19352


This paper presents the design and implementation of a smart wheelchair with advanced features to enhance the accessibility and comfort of wheelchair users. The proposed system incorporates voice control, biometric authentication, obstacle detection, and temperature monitoring, among other features, to provide a more intuitive and personalized user experience. The user interface is designed to be user-friendly and can be operated using a touchscreen display, a joystick, or voice command. The system is powered by a battery and includes a microcontroller board that controls the various functions of the wheelchair. The proposed system aims to improve the quality of life for wheelchair users by providing a more efficient and user-friendly mode of mobility.


Smart Wheelchair, Biometric Sensors, Obstacle Avoidance, Temperature Monitoring, Health Monitoring.

How to Cite this Article?

Shiny, J. (2022). Enhancing Accessibility and Comfort: A Smart Wheelchair with Advanced Features. i-manager’s Journal on Instrumentation & Control Engineering, 10(2), 7-12. https://doi.org/10.26634/jic.10.2.19352


[1]. Nisbet, P., Craig, J., Odor, P., & Aitken, S. (1996). 'Smart'wheelchairs for mobility training. Technology and Disability, 5(1), 49-62. https://doi.org/10.3233/TAD-1996-5107
[2]. Simpson, R. C. (2005). Smart wheelchairs: A literature review. Journal of Rehabilitation Research and Development, 42(4), 423-436.
[3]. Kumar, D., Malhotra, R., & Sharma, S. R. (2020). Design and construction of a smart wheelchair. Procedia Computer Science, 172, 302-307. https://doi.org/10.1016/j.procs.2020.05.048
[4]. Tang, R. (2012). A Semi-autonomous Wheelchair Navigation System (Doctoral thesis, University of Canterbury).
[5]. Simpson, R. C., Poirot, D., & Baxter, F. (2002). The Hephaestus smart wheelchair system. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 10(2), 118-122. https://doi.org/10.1109/TNSRE.2002.1031980
[6]. Yang, L., Ge, Y., Li, W., Rao, W., & Shen, W. (2014, May). A home mobile healthcare system for wheelchair users. In Proceedings of the 2014 IEEE 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD) (pp. 609-614). IEEE. https://doi.org/10.1109/CSCWD.2014.6846914
[7]. Levine, S. P., Bell, D. A., Jaros, L. A., Simpson, R. C., Koren, Y., & Borenstein, J. (1999). The NavChair assistive wheelchair navigation system. IEEE Transactions on Rehabilitation Engineering, 7(4), 443-451. https://doi.org/10.1109/86.808948
[8]. Rockey, C. A. (2012). Low-Cost Sensor Package for Smart Wheelchair Obstacle Avoidance (Doctoral dissertation, Case Western Reserve University).
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
Online 200 35 35 200 15
Pdf 35 35 200 20
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.