Abstract: According to international organizations’ statistics, the percentage of disabled people is considered not just a small percentage of the world's population. Improving the quality of life for people by using new technologies is one of the essential topics today. Although the wheelchair is the most common way of mobility for the disabled, this research aims to improve wheelchair use by creating other control methods, including speech recognition commands. A joystick, wireless remote control, and an additional port are available in addition to speech recognition commands to control the wheelchair. Researchers also studied and compared the effects of integrating a Proportional–Integral–Derivative (PID) controller with the normal controller during smart wheelchair operation in various normal usage scenarios. This research provides data based on a real experiment, not like most research that depends on mathematical models only for comparison. Adding the PID controller eliminated the overshoot of the smart wheelchair, reduced steady-state error, and reduced settling time. Furthermore, it contains a healthcare monitoring system to track the user's vital signs and object avoidance sensors to keep them safe. Also, a full motor selection calculation for the smart wheelchair has been provided, which is useful for mobile robot design. Additionally, the smart wheelchair features a power monitoring system. Finally, a voice-controlled wheelchair helps the user feel more private and independent. Using this kind of smart wheelchair and living this lifestyle will increase the user's morale.

M. Sayed, MG Mousa, Ali A. S and T. Mansour, “Design and Implementation of Low-Cost Hybrid-Controlled Smart Wheelchair Based on PID Control Integrated with Vital Signs Monitoring” International Journal of Advanced Computer Science and Applications(IJACSA), 16(6), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160677

@article{Sayed2025,
title = {Design and Implementation of Low-Cost Hybrid-Controlled Smart Wheelchair Based on PID Control Integrated with Vital Signs Monitoring},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160677},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160677},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {6},
author = {M. Sayed and MG Mousa and Ali A. S and T. Mansour}
}