IoT based fall detection for elderly people
Sumanth Kaushik, Sheetal Sheetal, Preethi Preethi, Sapna, Sumathi, Rachel Sandra, Thajudheen · AIP conference proceedings · 2024
Falls are the most dangerous form of an injury sometimes even leading to the death of an individual.Due to some negligence it is found that deaths caused are increasing rapidly, a survey was also made by WHO.It is globally considered as a major health public problem.The injury caused by disease for all people depends on the individual age and health factor.As the recent studies report usually highest death rate is caused over the age of 60.Therefore, this paper proposes an IOT based fall discovery system that will help prevent the risk leading to injury or death of an individual.The system monitors the person's movements with the help of an accelerometer sensor and detects a fall.An alarm is activated and a message is sent to the caretaker and a nearest hospital along with the location.The project also consists of an android application which includes a voice output and the location.