Research on keep away from falling based on SVM

摘要：

　　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.

关键词： body balance SVM SVR support vecters

作者: Zhaobing Sun Ziwei Kang

作者单位: Hebei University, Baoding, China

会议类型: 国际会议

会议名称: 2019 6th International Conference on Machinery, Mechanics, Materials and Computer Engineering (MMMCE 2019)(2019 第六届机械、材料和计算机工程国际会议)

会议地点: 呼和浩特

会议语种:英文

页码: 769-778

在线出版日期: 2019-07-27（万方平台首次上网日期，不代表论文的发表时间）