Comparative Study on Performance of ML Models for Fall Detection in Older People
Mohammadali Sefidi Esfahani,
Mohammad Fattahian
Abstract:Fall detection systems play a crucial role in addressing the significant health concern of elderly falls, a leading cause of health deterioration and mortality. As the aging population grows and life expectancy increases, the development of accessible tools becomes vital for predicting and preventing falls, offering a practical and widely applicable solution in contrast to costly and expertise-dependent assessment tools. In contrast, due to the formidable challenges encountered, a comprehensive investigation i… Show more
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