IoT-enabled Moving Wheelchair with Obstacle Detection and Continuous Health Monitoring
Nosina Krishna Chaitanya, V Suneel Reddy, K Sreelakshmi, SK Sadik, Y. Vijaya Kumar · 2024
This paper presents a novel moving wheelchair system, leveraging the Internet of Things (IoT), which aims to enhance the lives of wheelchair-bound individuals through obstacle detection and health monitoring. The system incorporates cutting-edge technologies, including an accelerometer for fall detection and a heart rate monitor, ensuring continuous health monitoring for the users. To address the issue of potential collisions, ultrasonic sensors are employed to detect obstacles, promptly notifying the user through an alarm. Additionally, a mobile application accompanies the system, enabling remote monitoring of vital health parameters, such as heart rate, as well as fall detection. By integrating these advancements, the proposed system aspires to significantly enhance the independence and healthcare services available to wheelchair users, ultimately leading to a better quality of life.