长春工程学院学报（自然科学版）Issue(3)：98-103,6.DOI:10.3969/j.issn.1009-8984.2015.03.024
卡尔曼滤波在人体姿态检测中的应用
The application of Kalman filter in body posture detection
摘要
Abstract
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 .关键词
卡尔曼滤波/姿态检测/加速度信号/Matlab/蓝牙Key words
Kalman filter/posture detecting/acceleration signal/Matlab/bluetooth分类
信息技术与安全科学引用本文复制引用
杜波,张卓,刘垚..卡尔曼滤波在人体姿态检测中的应用[J].长春工程学院学报（自然科学版）,2015,(3):98-103,6.基金项目
吉林省教育厅项目 （）
