关键词: 加速度计, 地震预警, 分层识别, 单门限, [K]最邻近算法

Abstract: The use of mobile accelerometer in seismic scene recognition is a new hot spot in the field of earthquake early warning research. As to existing methods using smartphones for seismic scene recognition, their simulating seismic scene is far away from the real situation, and the recognition method is relatively rough. Using earthquake experiencing house to simulate seismic scene, a two-layer earthquake recognition method is proposed to distinguish seismic scene from human daily life scenes. Firstly, it selects an appropriate threshold for the proposed feature：Sum of Maximum Correlation（SMC）, excluding jogging, walking and other human activity scenes by data periodicity. Then in the second layer, it identifies seismic scene data from aperiodic data using [K] nearest neighbor algorithm. Experimental results show that the hierarchical recognition method is quick and recognition rate of both non-seismic and seismic scene are over 96%.

Key words: accelerometer, earthquake early warning, hierarchical recognition, single threshold, K-Nearest Neighbor（KNN）