应用科技
應用科技
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YING YONG KE JI
2014年
4期
22-28,76
,共8页
体跌倒%无线传感%GPS%姿态角%加速度向量幅值%检测
體跌倒%無線傳感%GPS%姿態角%加速度嚮量幅值%檢測
체질도%무선전감%GPS%자태각%가속도향량폭치%검측
human fall%wireless sensor%GPS%attitude angle%acceleration vector amplitude%detecor
为减小老年人因跌倒造成的身心伤害,实现及时救助,设计了一种实用的人体跌倒检测器。采用三轴加速度传感器和ZigBee无线通讯实现人体运动状态的数据采集和传输,采用基于加速度向量幅值和人体姿态角检测算法实现跌倒检测,通过报警单元实现基于GSM模块的短信报警,利用对GPS数据解析实现跌倒事件的地理信息的Google显示。实验结果表明,该检测器对人体向前跌倒后平躺、向右跌倒后侧躺和向前跌倒后未平躺等状态判别准确率达到100%,监控界面良好。
為減小老年人因跌倒造成的身心傷害,實現及時救助,設計瞭一種實用的人體跌倒檢測器。採用三軸加速度傳感器和ZigBee無線通訊實現人體運動狀態的數據採集和傳輸,採用基于加速度嚮量幅值和人體姿態角檢測算法實現跌倒檢測,通過報警單元實現基于GSM模塊的短信報警,利用對GPS數據解析實現跌倒事件的地理信息的Google顯示。實驗結果錶明,該檢測器對人體嚮前跌倒後平躺、嚮右跌倒後側躺和嚮前跌倒後未平躺等狀態判彆準確率達到100%,鑑控界麵良好。
위감소노년인인질도조성적신심상해,실현급시구조,설계료일충실용적인체질도검측기。채용삼축가속도전감기화ZigBee무선통신실현인체운동상태적수거채집화전수,채용기우가속도향량폭치화인체자태각검측산법실현질도검측,통과보경단원실현기우GSM모괴적단신보경,이용대GPS수거해석실현질도사건적지리신식적Google현시。실험결과표명,해검측기대인체향전질도후평당、향우질도후측당화향전질도후미평당등상태판별준학솔체도100%,감공계면량호。
In order to reduce the physical and psychological hurt of falling tof the elderly which caused by falling , and to achieve the timely rescue , the authors design a practical human fall detector is designed .Using The detector acquires and transmits data of human motion by triaxial acceleration sensor and ZigBee wireless communication to realize data acquisition and transmission of human motion , , and detects fall using by the detection algorithm based on acceleration vector amplitude and human attitude angle detection algorithm to realizeapp:addword:realize fall detection ,.And with the alarm unit , the detector realizes SMS alarm based on GSM module , and displays geo-graphic information of the fall event on Google by analyzing GPS data .the alarm module based on the SMS alarm of GSM module, analyzing the GPS data to realize the Google display of the geographic information of the fall event . The experimental results show that the detector's discriminant accuracy rate is 100%in the circumstances of the body lying flat after the people fell forward , and not lying flat after fell forward , and that lying on his/her side after fell to the righton the body lie flat after falls forward , lying on his side after fall to the right and don't lie flat after fall forward is 100%.The experimental results also and prove the detector have has a good monitoring interface .