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DEVELOPMENT OF KARATE KICK MODELS BASED ON VARIOUS TYPES OF ARTIFICIAL NEURAL NETWORKS (0.83 Mb, pdf) Read
Authors:
Utkink Daniil Sergeevich
Demenchuk Georgriy Maximovich
Khalilov Artyom Rustamovich
Derbin Dmitriy Nikolaevich
Khasanshin Il'shat Yadykarovich
Annotation:

The work was aimed to conduct experimental studies, analyze the acceleration fields and the speeds of karate punches.

Methods and organization of the study. Experimental studies were conducted on the basis of a measuring device that was attached to the wrist of athletes. The device consisted of an Inertial Measurement Unit (IMU), a microcontroller and a Bluetooth module. Data from the IMU – linear accelerations of the impact segment of the athlete's body – were transmitted to a mobile device via a wireless channel, and then to a computer. Athletes (12 men, 4 women, age – 22±3 years, weight – 70±14 kg, height – 165±21 cm, training experience – 3-7 years) inflicted 4 types of punches: gyaku-tsuki, mawashi-tsuki, age-tsuki, uraken. Data processing was carried out in the MATLAB software package.

The results of the study. During the study of the kinematics of the main karate punches, data normalization was applied, which allowed for a generalized analysis of the punches of various athletes. The study established the relationship between the different phases of the implementation of the impact. It was found that for gyaku-tsuki, agyo-tsuki, and uraken strikes, there is a pronounced swing phase, which increases the speed and, accordingly, the force of the blow. Also, due to the application of a separate analysis of the kinematics of each hand, the difference in velocities for different hands was established.

Conclusion. The proposed approach is suitable for practical implementation, the results of studies of the kinematics of punches will help to deepen the understanding of the biomechanics of karate punches, which will allow scientists to develop the theory of punches, and coaches and athletes to more effectively master the correct technique.

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