Abstract

In sports and rehabilitation processes where isotonic movements such as bodybuilding are performed, it is vital for individuals to be able to correct the wrong movements instantly by monitoring the trainings simultaneously, and to be able to train healthily and away from the risks of injury. For this purpose, we designed a new real-time athlete support system using Kinect V2 and Expert System. Lateral raise (LR) and dumbbell shoulder press (DSP) movements were selected as examples to be modeled in the system. Kinect V2 was used to obtain angle and distance changes in the shoulder, elbow, wrist, hip, knee, and ankle during movements in these movement models designed. For the rule base of Expert System developed according to these models, a 28-state rule table was designed, and 12 main rules were determined that could be used for both actions. In the sample trainings, it was observed that the decisions made by the system had 89% accuracy in DSP training and 82% accuracy in LR training. In addition, the developed system has been tested by 10 participants (25.8 ± 5.47 years; 74.69 ± 14.81 kg; 173.5 ± 9.52 cm) in DSP and LR training for four weeks. At the end of this period and according to the results of paired t-test analysis (p < 0.05) starting from the first week, it was observed that the participants trained more accurately and that they enhanced their motions by 58.08 ± 11.32% in LR training and 54.84 ± 12.72% in DSP training.

Highlights

  • Simultaneous monitoring of movements in the training process in sports such as bodybuilding and weightlifting is a necessity for athletes to train healthily

  • In the design process of the rule base used by the system, movement models for dumbbell shoulder press (DSP) and Lateral raise (LR) have been created by consulting the opinions of experts

  • The Expert System rule table design was made according to the created movement models

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Summary

Introduction

Simultaneous monitoring of movements in the training process in sports such as bodybuilding and weightlifting is a necessity for athletes to train healthily. This allows the athlete to train effectively without the risk of injury until motor skills related to movement develop. Visual training programs designed for more accurate and safe training use visual perception and motor tasks based on it [1]. By using these programs, potential injury risks may decrease and sensory processes and motor movements may become faster and more accurate [2]

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