Abstract
This work aimed to study the automation of measuring the speed of punches of boxers during shadow boxing using inertial measurement units (IMUs) based on an artificial neural network (ANN). In boxing, for the effective development of an athlete, constant control of the punch speed is required. However, even when using modern means of measuring kinematic parameters, it is necessary to record the circumstances under which the punch was performed: The type of punch (jab, cross, hook, or uppercut) and the type of activity (shadow boxing, single punch, or series of punches). Therefore, to eliminate errors and accelerate the process, that is, automate measurements, the use of an ANN in the form of a multilayer perceptron (MLP) is proposed. During the experiments, IMUs were installed on the boxers’ wrists. The input parameters of the ANN were the absolute acceleration and angular velocity. The experiment was conducted for three groups of boxers with different levels of training. The developed model showed a high level of punch recognition for all groups, and it can be concluded that the use of the ANN significantly accelerates the collection of data on the kinetic characteristics of boxers’ punches and allows this process to be automated.
Highlights
The punch speed is one of the most important characteristics of a boxer; the ability to punch quickly and unexpectedly almost always decides the course of the fight and brings victory
Constant control is associated with a large number of measurements of the speed and acceleration of punches. This is a great burden on coaches, who train dozens of athletes. These measurements are especially difficult to carry out in the conditions of a real fight or shadow boxing, it is these parameters of punches that are most interesting for coaches
inertial measurement units (IMUs),The wireless were installed on which the wrists, which, via a Bluetooth channel, valuetransmitters of absolute acceleration after the program decided that this was the
Summary
The punch speed is one of the most important characteristics of a boxer; the ability to punch quickly and unexpectedly almost always decides the course of the fight and brings victory. Constant control is associated with a large number of measurements of the speed and acceleration of punches This is a great burden on coaches, who train dozens of athletes. These measurements are especially difficult to carry out in the conditions of a real fight or shadow boxing, it is these parameters of punches that are most interesting for coaches. The notation of the speed parameters of punches in such a fast process as a real fight in boxing is associated with human errors [1]. The aim of this study was to develop an automated system for collecting and analyzing data on the speed parameters of punches in a shadow fight. Sci. 2021, 11, 1223 before 2019, out of 36 publications devoted to the use of IMUs in martial arts, only four works use machine learning
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