Abstract
Falls are a crucial health problem mainly among the older people and the newly born babies too. In recent years, there are many systems that aimed at detecting the falls has increased adequately. This kind of device is aimed to provide for helping out the both biomedical engineers and clinicians. Our team has implemented a new technology towards the integration of fall detection in smartphones with the use of IOT methods and gyroscope sensor in the detection algorithm. The main objective of our work is to build an android-based fall detection system at cheap price for the children and elderly. The challenges like power consumption, sensing limitation, real-life conditions, real-time operations are well identified by us. The hardware part comprises the sensor which detects the position of the body of the user whether it is on a falling mode or not and the Node MCU where all the processing is done. The software consists of some coding and some formulas that detect the fall and provoke to ring the alarm. Key Words: fall detection, accelerometer, non-invasive tool, older adults, IoT
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