PersonWheel chair Fall Detection (KEY IJP************920)

• 1dr.m.v.sruthi, 2aluru Jayaprakash Reddy, Soma Vamsi, Hari Kiran, Chelimi Mahesh , Bandi Nagendra

Abstract

Abstract Caring for elderly, paralyzed, and sick individuals is a prevalent responsibility in many households. Given their limited mobility, there is a heightened risk of falls, necessitating the development of effective fall detection systems. This paper presents an innovative solution utilizing advanced hardware components such as MPU6050, SIM800 GSM module, OLED display, Arduino Nano, and a Buzzer. The primary sensor, MPU6050 accelerometer and gyroscope, detects fall positions. The system employs an Arduino Nano MCU for processing sensor data and triggering notifications through a local buzzer and, subsequently, a phone call to a predefined number using the SIM800 GSM module. An OLED display provides real-time status updates, enhancing user interface and feedback. The project, implemented using Arduino IDE and C++ language, demonstrates high accuracy (99%) after rigorous testing in our laboratory. The system's flexibility and adaptability make it suitable for diverse applications, including elderly care and healthcare facilities. This paper contributes to the field of3.fall detection by providing a comprehensive, user-friendly, and proactive solution that prioritizes safety and timely assistance for vulnerable populations.Keywords Fall detection, MPU6050 sensor, SIM800 GSM module, Arduino Nano MCU, OLED display, User interface, Elderly care, Healthcare, Safety, Proactive solution