Computer Vision‐Driven Evaluation System for Assisted Decision‐Making in Sports Training

Abstract

Computer vision has become a fast-developing technology in the field of artificial intelligence, and its application fields are also expanding, thanks to the rapid development of deep learning. It will be of great practical value if it is combined with sports. When a traditional exercise assistance system is introduced into sports training, the athlete’s training information can be obtained by monitoring the exercise process through sensors and other equipment, which can assist the athlete in retrospectively analyzing the technical actions. However, the traditional system must be equipped with multiple sensor devices, and the exercise information provided must be accurate. This paper proposes a motion assistance evaluation system based on deep learning algorithms for human posture recognition. The system is divided into three sections: a standard motion database, auxiliary instruction, and overall evaluation. The standard motion database can be customized by the system user, and the auxiliary teaching system can be integrated. The user’s actions are compared to the standard actions and intuitively displayed to the trainers as data. The system’s overall evaluation component can recognize and display video files, giving trainers an intelligent training platform. Simulator tests are also available. It also demonstrates the efficacy of the algorithm used in this paper.

Evaluation and Monitoring System for Exercise Rehabilitation Based on Combined Chinese and Western Medicine Technology

“…During exercise or competition, people may experience fatigue and sports injuries [11]. It is recommended that Chinese and Western medicine be combined and closely integrated with exercise to treat fatigue and recover from it with herbs to ensure uninterrupted scientific exercise training and continuous athletic performance improvement [12].…”

Computer Vision Technologies for Human Pose Estimation in Exercise: Accuracy and Practicality

“…The progression of artificial intelligence, encompassing deep learning and computer vision, has forged pathways towards innovative applications. Utilizing advanced image processing methods, Computer Vision enables the extraction of valuable information from visual data, offering new possibilities to enhance performance, monitor health, and optimize training programs (Thomas, Gade, Moeslund, Carr & Hilton, 2017;Zhu, 2021;Khanal et al, 2022). Working with statistical data in sports also remains an important aspect (Sainani et al, 2020;Latyshev et al, 2020).…”

Development trend of the application of image recognition technology in the process of sports training

“…Literature [16] developed a sports training posture recognition framework based on the SMO algorithm model and artificial intelligence technology, which demonstrated high accuracy and efficiency in numerical detection. Literature [17] established an auxiliary model for evaluating and recognizing human sports postures with a deep learning algorithm as the core logic, which provides an intelligent auxiliary platform for athletes' training and effectively promotes the progress of trainers' sports levels. Literature [18] proposes an auxiliary training system based on wireless sensing technology to help improve the balance ability of athletes.…”