Data punch tape creator11/16/2023 ![]() IMUs was mostly used on the wrists or shins. The authors analyzed 36 papers in which IMUs was used to determine parameters such as punch quality, classification, frequency, head punch and technique. In, a review of the use of inertial sensors for analyzing results in martial arts was conducted. ![]() Applications that use computer vision to recognize movements require several pre-processing steps, including detecting and tracking the athlete, clipping time, and recognizing target actions that depend on the sport and type of footage taken. However, concluded that the advantages of wearable IMUs are that they are affordable, wireless and autonomous in operation. In modern studies, video motion capture and IMUs are used to develop the punch model. And the review notes that the application of machine and deep learning to automate data collection in sports has good prospects. The model was developed on the basis of an artificial neural network in the form of a multilayer perceptron.Īlthough a machine-trained model is a black box, this model will be very useful for coaching practice and automating scientific research. During the experiments, it was necessary to determine whether the degree of compliance with the optimal model correlated with the technique of punches in the control group of boxers who did not participate in the creation of the model. ![]() It was not just a specific motor pattern that was developed, it was a model that was formed on the basis of dataset from different boxers who differed in weight, strength, height, style and technique of punches. Therefore, the work was aimed to develop an optimal model of punch, focusing on which it is possible to improve the technique of punch. Therefore, it often happens that an athlete has a correct, beautiful technique, but his punches are not very strong and fast, and the athlete has few victories. The problem is that currently, most often, the technique of strikes is a scheme under which the coach tries to fit the athlete, which is not always a good strategy. Therefore, the question arises: is there a general ideal, optimal striking technique, or can the striking technique be ideal only when applied to a specific athlete with their neurophysiological characteristics, weight, height, body structure and muscles? Great boxers Joe Frazier, George Foreman, Muhammad Ali, Mike Tyson had the same weight class, but if you consider their technique of performing punches, it is easy to see very big differences. Technique plays a leading role in boxing, as it is the ability to strike the strongest and fastest in the most optimal way. Victory in a boxing fight depends on many factors: physical strength and speed, perseverance, will to win, endurance and technical readiness. According to the degree of compliance with this model, you can evaluate and train boxers in the technique. Studies have shown that it is possible to develop an optimal punch model. The use of feedback allowed for an increase in the quality of punches from 11 to 25%, which is on average twice as high as in the group where the feedback method was not used. As a result of the study, an almost linear relationship was found between the quality of the punch of entry-level boxers and the optimal model. The more LEDs were turned on, the more the punch corresponded to the optimal model. To study the effects of biofeedback, the boxing pads were equipped with five LEDs. ![]() In order to be able to compare punches, a unified parameter was developed, called the punch quality, which is equal to the product of the effective force and the punch speed. The punch force was determined using a boxing pad with the function of measuring the punch force. ![]() The best punches were chosen according to the criteria of strength and speed. Highly qualified participated in the data set for the development of the optimal model. To measure accelerations and angular velocities, inertial measuring devices were attached to the boxers’ wrists. The architecture of the neural network optimal punch model included an input layer of 600 nodes-the values of absolute accelerations and angular velocities, four hidden ones, as well as a binary output layer (the best and not the best punch). The work was aimed to develop an optimal model of a straight punch in boxing based on an artificial neural network (ANN) in the form of a multilayer perceptron, as well as to develop a technique for improving the technique of punches in boxing based on feedback, when each punch delivered by a boxer was compared with the optimal model. ![]()
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