SMART FALL PREVENTION: AI-DRIVEN DETECTION FOR SAFER ELDERLY CARE
Keywords:
Elderly care, Fall detection, Healthcare costs, Internet of Things, machine learningAbstract
Falls among the elderly are a serious concern, with about 37.3 million cases worldwide requiring medical attention each year. In the U.S. alone, one in four older adults experiences a fall annually, leading to rising healthcare costs expected to reach $101 billion by 2030. Preventing and detecting falls is more important than ever, yet traditional methods—like manual monitoring, wearable devices, or call
buttons—often fall short. T
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