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With the acceleration of aging in China, the problem of elderly care is becoming more and more prominent, which has become another difficult problem for families and society. Aiming at this social problem, an intelligent nursing system based on mobile terminal is proposed, and a new MEMS attitude sensor is used as the control core of STM32 microprocessor MPU6050 Real-time collection of human motion state information, through data conversion, filtering and attitude fusion, combined with human acceleration vector amplitude SVM and attitude angle characteristics of the traditional threshold fall detection algorithm optimization; With wireless communication technology as the bridge, the caregiver can monitor the elderly in real time through the client software on the mobile terminal device. A large number of experimental results show that the system can effectively detect fall behavior and alarm, accuracy rate of up to 98.5%, miscalculation rate of only 0.71%, and client software through the call Baidu map to visualize the elderly location and surrounding environment, the system has the advantages of simple structure, simple operation, strong use and so on, the application prospect is more extensive.