Arduino based Wheelchair Fall Detection System using GPS and GSM Module
Ch. Venkata Sai Revanth, Bandi Alekhya, Mateen Abbas
Abstract
Wheelchairs are essential for people with physical disabilities, the elderly, and those who are temporarily incapacitated due to illness or accidents. However, traditional wheelchairs require personal effort or assistance from others. With the advancement of technology, patient support and monitoring systems have become more user-friendly and easier to use. This study involves the development of a wheelchair prototype and a fall detection system using Arduino. The prototype and system can be monitored by an overseer or concerned individual. The fall detection system consists of an accelerometer, GSM module, and GPS module. In the event of a fall, the system triggers an emergency buzzer alert and sends a notification to the concerned person along with the location. This innovative system is designed to improve patient safety and security by providing real-time monitoring of wheelchair users. With the use of Arduino, the system is easy to operate and can be customized to meet specific patient needs. The combination of the accelerometer, GSM, and GPS modules provides a reliable and effective fall detection solution. Overall, this study offers a promising solution to improve the quality of life for wheelchair users and their caregivers.