With the popularity of Wing Chun film and television themes in recent years, Wing Chun has gradually received more and more attention, but the impact of Japanese punching boxing is rarely involved. The purpose of this article is to study the impact of Wing Chun Day Punch Boxing based on embedded microprocessor, to understand the actual effect of Wing Chun Day Punch Boxing through the analysis of the beat effect, and to provide reference and help for the research of traditional Chinese martial arts. In this paper, experimental methods and mathematical statistics combined with embedded microprocessors are used to research and analyze the punching effect of Wing Chun word punching. And it calculates the speed, angle, angular velocity, angular acceleration, muscle discharge sequence, and other data of various parts of the body during the process of Wing Chun force release to reveal the hitting effect of Wing Chun day word punching. Five Wing Chun practitioners with different training times are selected for Wing Chun day punch training, using engineering dummies for experiments, relying on acceleration sensors, position sensors, and force sensors. Starting from the direction of dynamics and kinematics, it collects the effective data of the Japanese word punch, then analyzes the experimental results through the embedded microprocessor, and obtains the hitting effect of the Wing Chun Japanese word punch. Experiments show that, through the analysis of the force angle and characteristics of the Japanese punch, the subjects’ elbow joint angle changes significantly when doing the Japanese punch. In the experiment on the force measurement engineering dummy, when the subjects punched, the measurement results of the vibration acceleration of the internal organs of different subjects were p > 0.01 , and there was no significant difference. However, in the case of elbow joint 150° preparation, the midline punch is significantly larger than the punch directly in front of the shoulder, and the difference is statistically significant (significant level p < 0.01 ).