Trajectory Method for Defense Human Motion Posture Based on Nano-Sensor

Abstract

Nano-sensor can directly monitor human motion, and transmit the data to the monitoring center through the micro-nano interface, which can be analyzed and processed based on real-time monitoring data under the premise of execution capability. Due to the defense human motion posture trajectory data containing rapidly changing angular velocity and acceleration, it is difficult to perform fine localization and analysis during rapid motion. Therefore, a trajectory method for defense human motion posture based on nano-sensor is proposed. First, nano-sensor monitoring nodes are arranged to set up the defense data mining process and initially obtain the defense human motion posture trajectory data. Second, the collected data are used to build a trajectory description model to match the trajectory states under different virtual forces. Finally, according to the trajectory state conversion of human running trajectory coordinate system, using the gravitational model to determine the attraction and repulsion of the defending human, to achieve the deep mining of defense posture data. The results show that the proposed method can classify the five defense poses more accurately than other traditional methods, and the accuracy of defensive posture recognition is high. It can truly restore the execution of tactics, arrange the offensive and defense positions of personnel, and better design the defense and offensive strategies of personnel.