摘要
通过研究中老年人常见的紧急事故——跌倒为研究对象,针对现有跌倒检测方法存在的诸多问题,我们设计了一种基于压力传感器的跌倒检测系统,该系统包含压力采集模块、基于微处理器的数据处理模块、无线通信模块和后台四个模块。通过检测并分析研究脚底压力在正常行走和跌倒状态下的变化,实现跌倒事件的实时检测。并在此基础上,提出基于支持向量机的跌倒识别方法。实验结果证明该系统的判别具有较高的可靠性和准确性。
This paper takes tumble as the research subject,which is an urgent accident that generally happens on elders.Considering the problems existing in current fall detection methods,we present a fall detection system based on pressure sensor,which mainly consists of pressure acquisition module,microprocessor-based data processing module, wireless communication module and mainframe.Through detecting and analyzing the plantar pressure changes under normal walking and slipping up conditions,the system realizes the real-time detection of tumble;and on the basis of this,a support vector machine based tumble identification method is put forward.Experimental results prove the reliability and veracity of the system.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2010年第3期715-720,共6页
Chinese Journal of Scientific Instrument
基金
香港政府研究资助项目(CUHK 4317/02E
CUHK 4202/04E)
博士点基金(20060611010)资助项目
关键词
跌倒检测
压力传感器
支持向量机
fall detection
pressure sensor
support vector machine