Design and Development of a Prototype Smart Wheelchair Control System for Enhanced Accessibility and Safety
DOI:
https://doi.org/10.62760/iteecs.5.1.2026.173Keywords:
Smart Wheelchair, Arduino, Bluetooth, Ultrasonic Sensor, Motor Control, Obstacle DetectionAbstract
The paper will explain how the smart wheelchair control system was constructed. The wheelchair control system addresses the limitations of existing systems and makes traveling easier and safer. The smart wheelchair control system allows an individual to operate the wheelchair via smartphone Bluetooth application. The smart wheelchair control system also employs sensor to detect obstacles in order to detect objects and avoid collision. The smart wheelchair control was constructed using an Arduino Uno, HC-05 Bluetooth component, L298N motor controller and ultrasonic sensor HC SR04. The obstacle detecting was 90% correct as revealed through the tests. The power consumption was 25watts and the system will provide 28 minutes of operation on a 12 V, 1 Ah battery. The system will allow the future advancement features of the system including IoT and AI which will be supported by the system, compares to the existing systems including the voice and EMG systems which are currently being used in other systems and keeps the other systems down by 25 percent power consumptions and 30 percent run time. This makes it a good fit for assistive mobility systems that need to grow. These findings offer a repeatable and energy-efficient framework for future studies concerning low-cost smart wheelchair technologies.
References
G. S. Mahadev, K. A. Amjad; R. R. Shankar, A. P. Deshmukh “Mobile Bluetooth Controlled Wheelchair”, International Journal of Innovative Science and Research Technology, Vol. 9, No. 3, pp. 1310 - 1313, 2024. https://doi.org/10.38124/ijisrt/IJISRT24MAR1254
S. A. Parthasarathy, S. Subash, A. Devaraj and V. Karthik, “Design and development of arduino based multipurpose wheelchair for disabled patients”, 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India, pp. 884 - 888, 2020. https://doi.org/10.1109/ICSSIT48917.2020.9214082
R. RameshBabu, G. S. Mahendran, S. Dharanidharan, S. G. Krishnan, K. Akash “Head-way navigated wheelchair with bluetooth control”, International Journal of Engineering Technologies and Management Research, Vol. 11, No. 5, pp. 53 – 62, May 2024. https://doi.org/10.29121/ijetmr.v11.i5.2024.1452
A. T. Noman, M. A. M. Chowdhury, H. Rashid, S. M. S. R. Faisal, I. U. Ahmed and S. M. T. Reza, “Design and implementation of microcontroller based assistive robot for person with blind autism and visual impairment”, 2017 20th International Conference of Computer and Information Technology (ICCIT), Dhaka, Bangladesh, pp. 1-5, 2017. https://doi.org/10.1109/ICCITECHN.2017.8281806
G. Dhaarini, R. Sanjai and S. Sandosh “Adaptive Navigation and Surveillance System: A Comprehensive Real-Time Solution for Mobility Assistance and Environmental Monitoring”, 2025 International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI), Erode, pp. 818-825, 2025. https://doi.org/10.1109/ICMSCI62561.2025.10894607
S. Chatterjee, A. Majumdar, and S. Roy “A new control approach for a multi-controlled wheelchair utilizing deep learning framework and raspberry Pi”, IETE Journal of Research, Vol. 71, No. 4, pp. 1338 - 1355, 2025. https://doi.org/10.1080/03772063.2025.2453880
T. K. Hou, Yagasena and Chelladurai “Arduino based voice controlled wheelchair”, Journal of Physics: Conference Series, Vol. 1432, No. 1, art. no. 012064, 2020. https://doi.org/10.1088/1742-6596/1432/1/012064
S. Mahadwale, V. N. More, A. Mazire, B. Jain and V. Bagam “Enhancing Human Machine Interface Capabilities using Bluetooth Low Energy”, 2024 4th Asian Conference on Innovation in Technology (ASIANCON), Pimari Chinchwad, pp. 1 - 7, 2024. https://doi.org/10.1109/ASIANCON62057.2024.10837980
A. Ghorbel, N. B. Amor, and M. Jallouli “A survey on different human-machine interactions used for controlling an electric wheelchair”, Procedia Computer Science, Vol. 159, pp. 398 - 407, 2019. https://doi.org/10.1016/j.procs.2019.09.194
A. Demofonti, G. Carpino, L. Zollo and M. J. Johnson “Affordable Robotics for Upper Limb Stroke Rehabilitation in Developing Countries: A Systematic Review”, IEEE Transactions on Medical Robotics and Bionics, Vol. 3, No. 1, pp. 11 - 20, 2021. https://doi.org/10.1109/TMRB.2021.3054462
Z. Zhang, P. Xu, C. Wu, and H. Yu “Smart nursing wheelchairs: A new trend in assisted care and the future of multifunctional integration”, Biomimetics, Vol. 9, No. 8, art. no. 492, 2024. https://doi.org/10.3390/biomimetics9080492
M. Bakouri, A. Alqarni, S. Alanazi, A. Alassaf, I. AlMohimeed, & T. Alqahtani “Analysis of Autonomous Wheelchair Navigation Technologies in the Past Five Years: A Systematic Review”, International Journal of Online and Biomedical Engineering (iJOE), Vol. 21, No. 3, pp. 56 – 83, 2025. https://doi.org/10.3991/ijoe.v21i03.52269
A. Broekman and P. J. Gräbe “A low-cost, mobile real-time kinematic geolocation service for engineering and research applications”, HardwareX, Vol. 10, art. no. e00203, 2021. https://doi.org/10.1016/j.ohx.2021.e00203
M. Balamurugan, M. S. M. Nawfal, K. Nethaji, P. Ramesh, J. Bino and P. T. V. Bhuvaneswari “IIBCDP: Intelligent IoT Based Bluetooth Controlled Wheel Chair for Impaired Person”, 2024 International Conference on Communication, Computing, Smart Materials and Devices (ICCCSMD), Chennai, India, pp. 1 - 4, 2024. https://doi.org/10.1109/ICCCSMD63546.2024.11015229
X. Chen, Y. Xu, Q. Li, J. Tang, and C. Shen “Improving ultrasonic-based seamless navigation for indoor mobile robots utilizing EKF and LS-SVM”, Measurement, Vol. 92, pp. 243 - 251, 2016. https://doi.org/10.1016/j.measurement.2016.06.025
S. Mascetti, G. Civitarese, O. E. Malak and C. Bettini “SmartWheels: Detecting urban features for wheelchair users’ navigation”, Pervasive and Mobile Computing, Vol. 62, art. no. 101115, 2020. https://doi.org/10.1016/j.pmcj.2020.101115
Y. E. Prasetyo, H. Hindarto, S. Syahrorini, and A. Wisaksono “Wheelchair Control Using Bluetooth-Based Electromyography Signals”, Journal of Computer Networks, Architecture and High Performance Computing, Vol. 5, No. 1, pp. 148 - 159, 2023. https://doi.org/10.47709/cnahpc.v5i1.2063
A. I. Iskanderani et al., “Voice Controlled Artificial Intelligent Smart Wheelchair”, 2020 8th International Conference on Intelligent and Advanced Systems (ICIAS), Kuching, Malaysia, pp. 1 - 5, 2021. https://doi.org/10.1109/ICIAS49414.2021.9642607
D. Oladimeji, K. Gupta, N. A. Kose, K. Gundogan, L. Ge and F. Liang “Smart transportation: an overview of technologies and applications”, Sensors, Vol. 23, No. 8, art. no. 3880, 2023. https://doi.org/10.3390/s23083880
P. M. Derasari and P. Sasikumar “Motorized wheelchair with bluetooth control and automatic obstacle avoidance”, Wireless Personal Communications, Vol. 123, No. 3, pp. 2261 - 2282, 2022. https://doi.org/10.1007/s11277-021-09238-w
M. Rani, B. Ramya, K. Avinash, G. Sainaveen and J. Ruchitha “Smart Wheelchair Control Using Arduino”, E3S Web of Conferences, Vol. 547, art. no. 01016, 2024. https://doi.org/10.1051/e3sconf/202454701016
K. Venkatesha, S. S. Shanmugam A. Kumar and L. Vijayashree “Design & Development of an Automated Wheelchair for differently abled person using Keypad & Bluetooth Technology”, 2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), Bangalore, India, pp. 1 - 5, 2024. https://doi.org/10.1109/IITCEE59897.2024.10467338
N. Singh, A. Kumar, S. Bhagat and Komalpreet, “Third Eye for Blind Person Using Raspberry Pi and Send Data to the Caretaker”, 2025 13th International Conference on Intelligent Embedded, MicroElectronics, Communication and Optical Networks (IEMECON), Jaipur, India, pp. 1 - 6, 2025. https://doi.org/10.1109/IEMECON69302.2025.11365948
Y. P. Obulesu and P. V. Kumar “Embedded Control of Power Converters in E?Mobility”, Smart Charging Infrastructures, pp. 195 - 230, 2026. https://doi.org/10.1002/9781394288342.ch10
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