In order to improve the training effect of badminton special skills, this paper puts forward a training system of badminton special skills combined with action recognition technology, which can formulate and adjust individualized training plan according to the technical level and physical condition of athletes, so as to improve the training efficiency and accuracy. Moreover, this paper constructs a system consisting of a central processor and a standard combined device console. The system uses an electrically programmable memory (EEPROM) chip, which is specifically used for the precise capture of student movements. This design ensures the accuracy and efficiency of the system in badminton training, providing coaches and athletes with more accurate and practical training feedback. Finally, this paper verifies the effectiveness of the system in combination with experimental research. The results show that the system demonstrates the potential of action capture technology in badminton training, which provides new ideas for future training and technological progress.