Abstract:Aiming at the problems of low gait recognition rate, poor universality and stability of traditional peak detection, we propose a pedestrian dead reckoning method based on improved FSM gait detection. The proposed method focuses on the current gait state, devides a gait cycle into five states and introduces the peak threshold, and carries out experiments from different motion states and mobile phone modes.The results show that the algorithm not only has high gait recognition accuracy, but also reduces the time cumulative error. It has certain reliability, stability and can meet the needs of indoor positioning.