Smart Wearable and AI-Powered System for Detecting Falls in Elderly Individuals

Abstract

Falling is an important scientific condition. Crash sites with pending medical review warnings are getting more attention. In any case, most modern research uses replicated drops in research centers to test drawings. Older people live apart from their homes. When an elderly person falls, it will be difficult to ask for help. The main goal of this figure is to develop an affordable fall detection sensor system for the elderly. This article shows the scheme of the fall identification sensor system. The system can detect falls by male or female contact so that the prevalence can be accounted for at the rescue scene as soon as possible and critical health care can be provided to the injured elderly. Planning and execution incorporate programming with each device that continuously draws, detects and details the collapse of the house. The gadget element contains a flat panel fall sensor that recognizes the visitor's framing function regardless of whether the visitor has traveled miles in fall mode, while the product element contains specific recipes to distinguish falls and trigger an alert.