The Smart Fall Detection Mechanism for Healthcare Under Free-Living Conditions

With the growing number of silver hair people, they cannot ignore the care system, fall is one of the important causes of death from accident injury. If the fall is not detected in time, the consequences may be very serious, even. The psychological haze caused by the injured leads to a reduction in activity. The care system includes a smartwatch to monitor physiological values and detect falls, a Beacon device for indoor positioning, and outdoor air quality sensors. And set up a cloud server in Amazon to act as a system hub, designed an APP on the Android platform to control location, physiology, medication status, and give timely reminders. In the smartwatch fall detection section, this study proposes an adaptive threshold algorithm based on fuzzy theory to determine the fall. When a fall occurs, Beacon immediately locates the caregiver position and via Wi-Fi sends packets containing the location of the fall and the identity of the caregiver to the server, and sends notifications to the caregiver mobile app through the server. In the experiment, the acceleration data of six male and six female subjects were collected during daily activities and falls, and then analyzed the difference in the acceleration value of different height and weight during fall. 93.75% Sensitivity and 97.5% Specificity. This system enables existing care providers to get more real-time information and feedback, thereby improving overall service quality and efficiency, reducing human costs and resource consumption.