摘要
采用模式识别算法设计了基于Android的跌倒测试仪,由三轴加速度传感器得到人体动态速度值,并把这些特征值送至检测算法中,用于检测跌倒行为.当系跌倒行为发生时,由GPS将跌倒位置和报警信号传给邦定的监护人手机进行报警,从而使跌倒老人能在第一时间得到救治,有效减少跌倒对老人造成的伤害.
A tumble tester based on Android was designed using pattern recognition algorithm.The three-axis acceleration sensor is used to obtain the dynamic velocity value of the human body,and the characteristic values are sent to the detection algorithm to detect the tumble behavior.When the tumble behavior occurs,the fall location and alarm signal are transmitted to the guardian＇s mobile phone by GPS to alarm.Thus the fall elderly can be treated immediatly,thereby effectively reducing the harm caused by tumbles to the elderly.
作者
郑清兰
陈寿坤
ZHENG Qing lan;CHEN Shou kun(Practice Center,Minnan University of Science and Technology,Shishi 362700,China)
出处
《山东理工大学学报（自然科学版）》
CAS
2018年第6期29-33,共5页
Journal of Shandong University of Technology:Natural Science Edition
基金
福建省电工电子示范教学中心项目(SJS003)
