The attitude detection system based on MEMS and magnetoresistance sensors has the characteristics of small volume, low cost and low power consumption. Now it is widely used in the field of consumer consumption. In the system, the main measuring unit is MEMS inertial sensor. The geomagnetic sensor detection technology is used to improve the accuracy and stability of the system because MEMS sensors have noise error. In addition, magnetoresistive sensors are susceptible to external interference. An appropriate data fusion algorithm can integrate all kinds of data from defferent sensors to obtain the optimal attitude estimation. This paper focuses on the present situation and development trend of multi-sensor data fusion algorithm for the attitude detection system based on MEMS and magnetoresistive sensors at home and abroad.