An IoT-Based Self-Reliable Wheelchair for Enhanced Mobility and Health Monitoring
Brindha Samarasam, Manikandaprabu Nallasivam, Gayathri Devi Kulandasamy, Murugesan Manivel, Anand Karuppannan, Charmila Duraisamy · 2024
This research introduces an innovative approach to enhance the mobility and independence of individuals with limited mobility by developing an IoT-based, self-reliable wheelchair capable of climbing stairs. The wheelchair utilizes Atmega328 microcontroller as its central processing unit, incorporating an accelerometer to detect hand movements for intuitive control of forward, backward, left, and right motions. The unique triangular wheel arrangement on either side of the wheelchair enables it to navigate staircases effectively. Powering the wheelchair is a rechargeable battery, with a regulator ensuring a stable power supply to the boards and sensors. The H-bridge motor driver controls the wheelchair's motors, facilitating smooth and precise movements. In addition to its advanced mobility features, the wheelchair is equipped with health monitoring capabilities. A heartbeat and temperature sensor are integrated to continuously monitor the user's health condition. In the event of deteriorating health, an alarm is triggered, and a corresponding message is displayed on the LCD display. This real-time health monitoring system adds an extra layer of safety, ensuring timely intervention in case of emergency. This IoT-based wheelchair represents a significant advancement in assistive technology, providing not only enhanced mobility for navigating challenging terrains but also incorporating health monitoring features to ensure the well-being of the user. The integration of Atmega328 microcontroller, sensors, and motor control technologies showcases an intelligent approach to empower individuals with limited mobility.