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Abstract. In recent years, the smartphones which are integrated with many high-accuracy sensors have become very popular. Utilizing the development of sensors, developers have done many useful researchers. Indoor positioning navigation is an interesting and hot field of them.Step detecting and counting are key technologies in indoor positioning. In this paper, we propose a novel method to count steps which is an improvement of the classical steps detection method, the peak detection method of the acceleration. Our proposed scheme consists of two parts: the scoring part and adaptive window length part. Two adaptive window length algorithms which can adapt to the varying velocity are also proposed in this paper. In our experiments, a smartphone -Nubia NX513J is handled, with screen facing upwards to record the accelerometer data. The scoring algorithm of acceleration in the process of step detection is tested in two kinds of path: a straight path and a U-shaped path in which it shows better results than conventional peak detection method.