Abstract
As the development of the smart phone and MEMS technology comes to more normalization, put inertial sensor into smart is trend and it leads to high range develop possibilities of smart phone. In our thesis, we discussed the implement of pedometer in android platform with activity recognition. User not only get the number of step user takes, but also have information with user’s activity in the same time. In part of pedometer, we use the method of 2-layer moving average filter to remove signal noise and dynamic average. The pedometer’s accuracy should not depend critically on the relationship between the motion axes and the accelerometer’s measurement axes. Meanwhile, we integrate real-time activity recognition method and enhance filter of signal processing, lead to better performance and user information by remove decision of threshold value. In the experiment result, our design of real time activity recognition system depicts that we have dynamic response time which is less than 5 second. As to performance of pedometer and activity recognition, we compare our system with reference paper and obtain better accuracy.