CAJ | 학술논문

为了尽早发现老人的意外跌倒，避免长躺现象，争取救护时间，对人体姿态进行检测。由控制器STM32F103和传感器MPU6050构成信号采集系统，采用无线蓝牙模式进行数据传递，由接收系统进行数据分析和显示。建立人体坐标系，对采集的加速度信号进行卡尔曼滤波，调节参数，补偿测量误差，实现最优估计。对滤波后的加速度信号进行整合，并以角度信号为辅助，进行姿态判断，及时判断跌倒事故。通过M atlab仿真发现，卡尔曼滤波的使用有效地提高了系统的测量精度，有助于姿态判断的实现。
위료진조발현노인적의외질도，피면장당현상，쟁취구호시간，대인체자태진행검측。유공제기STM32F103화전감기MPU6050구성신호채집계통，채용무선람아모식진행수거전체，유접수계통진행수거분석화현시。건립인체좌표계，대채집적가속도신호진행잡이만려파，조절삼수，보상측량오차，실현최우고계。대려파후적가속도신호진행정합，병이각도신호위보조，진행자태판단，급시판단질도사고。통과M atlab방진발현，잡이만려파적사용유효지제고료계통적측량정도，유조우자태판단적실현。
Human body posture should be detected in order to find senior people falling accident early and a‐void long time lying‐down ,also for saving time for emergency treatment .The signal collecting system composed of controller STM32F103 and sensor MPU6050 uses wireless bluetooth mode to make data transmission .The receiving system can make data analysis and display ,and set up the human body coordi‐nates .The system can compensate the measurement error and get optimal estimating for collected accelera‐tion signals that through Kalman filtering and parameters adjustment .It can analyze posture and detect falling accident earlier by integration of filtered acceleration signal , along with Angle signal assist . Through Matlab simulation test ,the application of Kalman filtering can improve system measurement pre‐cision effectively and be helpful for detection to body posture .