A research about zero velocity trigger algorithm used in the wearable autonomous positioning technology

The so-called gait, is the posture of people's trunk and legs when they are walking, as well as the status of the feet when they are touching the ground. And nowadays, the application of the related gait characteristics technology has been developed quickly and had a wide range of applications in security systems, human-computer interaction, navigation, medical diagnosis and so on. And this paper will propose a technology by three conditions method to implement the still gait detection of the wearable MEMS IMU (Inertial Measurement Units). Above technology which can use the detected the stationary state as a trigger condition applies to zero velocity correction, updating of the geomagnetic angle and the relevant static calibration techniques in positioning field. Thus the result of the real-time and accuracy in the positioning process will be better. This paper will respectively place the IMU on the pedestrian's foot, waist and chest to proceed the stationary gait testing. Final test data through the simulation shows that the detection still result of the case which place the IMU on the foot is much better than the other two cases.