Research on keep away from falling based on SVM
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Zhaobing Sun, Ziwei Kang
Falling down is an unexpected problem that old people cannot ignore. Nowadays, the death rate from falls is increasing gradually. In China, falls have become the number one killer of people over 65 years old. Therefore, it’s vital to analyze the human body balance features to prevent elderly people from falling. We are required to find 25 body balance features from the 42 monitoring points. And we build a feature extraction model and a balance risk assessment system. By comparing the analog computation and actual provided, we give our advice.
Body balance, SVM, SVR, support vecters