自适应跌倒前实时检测方法

doi:10.13438/j.cnki.jdzk.2021.03.006

吉首大学学报（自然科学版） ›› 2021, Vol. 42 ›› Issue (3): 34-40.DOI: 10.13438/j.cnki.jdzk.2021.03.006

自适应跌倒前实时检测方法

谢静，杨盘隆，魏星

(1．蚌埠医学院公共基础学院,安徽蚌埠 233030；2．中国科学技术大学计算机科学与技术学院,安徽合肥 230027)

出版日期:2021-05-25 发布日期:2021-08-30
作者简介:谢静（1985—），女，安徽全椒人，蚌埠医学院公共基础学院讲师，硕士，主要从事数据挖掘和医学物联网研究.
基金资助:
国家重点研发计划（2018AAA0100500）；安徽高校自然科学研究重点项目（KJ2019A0325）；蚌埠医学院自然科学重点项目（BYKY1704ZD，BYKY2019022ZD）

Self-Adaptive and Real-Time Pre-Fall Detection

XIE Jing, YANG Panlong, WEI Xing

(1. Department of Public Basic Education, Bengbu Medical College, Bengbu 233030, Anhui China;2. School of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, China)

Online:2021-05-25 Published:2021-08-30

摘要/Abstract

摘要：为了能利用单一传感器在跌倒撞击前实时检测出跌倒即将发生，结合支持向量机（SVM）和阈值法设计了一种自适应跌倒前实时检测方法.实验结果表明，该方法能在跌倒撞击前实时检测出跌倒即将发生，且比人工阈值法和SVM方法有更长的间隔时间，比SVM方法有更高的召回率和特异度.

关键词： 跌倒前检测, 撞击, 自适应, 实时, 支持向量机

Abstract: To detect falls before falling and to provide basis for fall prevention, this study proposes a self adaptive pre-fall detection method that combines SVM and threshold method. Experiment results show that this method has a longer interval time than the artifical threshold and SVM, and has higher recall rate and specificity than SVM. The self-adaptive pre-fall detection method can detect the fall before the fall impact.

Key words: pre-fall detection, impact, self-adaptive, real-time, SVM

谢静, 杨盘隆, 魏星. 自适应跌倒前实时检测方法[J]. 吉首大学学报（自然科学版）, 2021, 42(3): 34-40.

XIE Jing, YANG Panlong, WEI Xing. Self-Adaptive and Real-Time Pre-Fall Detection[J]. Journal of Jishou University(Natural Sciences Edition), 2021, 42(3): 34-40.

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自适应跌倒前实时检测方法

Self-Adaptive and Real-Time Pre-Fall Detection

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