Application of recurrent neural network in predicting athletes' sports achievement

Hou, Jiandong; Tian, Zhisheng

doi:10.1007/s11227-021-04082-y

Cited by 8 publications

(7 citation statements)

References 19 publications

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“…It includes relational database, object-oriented database, XML-based database, and other special storage systems. If a physical mass has a low relative density, the higher the probability that the mass is an outlier, the more attention should be paid to the physical data of the mass [ 15 , 16 ].…”

Section: Methodsmentioning

confidence: 99%

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Feasibility Study of Mass Sports Fitness Program Based on Neural Network Algorithm

2022

Computational Intelligence and Neuroscience

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Mass sports has become a world trend, setting off a new health revolution in the world. Mass fitness programs not only enrich people's lives. It not only relieves the psychological pressure of modern people but also promotes people's health and improves people's quality of life. According to the time-consuming stability of neural network algorithm, this paper proposes a sports video recognition algorithm based on BP neural network. The static and dynamic features are classified by BP neural network, and the basic probability assignment is constructed according to the preliminary recognition results. At the same time, we use evidence theory to fuse the preliminary results and get the results of motion video recognition. It can be applied to the generation model of the feasible scheme of mass sports fitness. Relevant experiments show that the whole model that generates the feasible mass sports fitness scheme can accurately generate the sports fitness scheme of multiple patient users and ensure the rationality and safety of the sports fitness scheme.

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Section: Methodsmentioning

confidence: 99%

“…Fitness events ref [15] ref [19] Our ref [18] Figure 5: Performance comparison of different sports video recognition models.…”

Section: Table Tennis Badminton Volleyballmentioning

confidence: 99%

Feasibility Study of Mass Sports Fitness Program Based on Neural Network Algorithm

2022

Computational Intelligence and Neuroscience

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“…e author analyzes the impact of high-protein food on the physical mechanism of sports athletes, aiming to provide a certain reference for sports athletes' food matching [1]. Collagen is an important substance that constitutes the scaffold of the human body, and it is also composed of protein, in short, protein is the scaffold and main substance that constitutes human tissues and organs, and plays an important role in human life activities [2]. e relaxation and contraction of muscles depend on the activity of protein molecules in muscles, so protein plays an important role in sports.…”

Section: Introductionmentioning

confidence: 99%

“…Protein is a very important substance for the human body. (2) Proteins can also maintain the normal metabolism of the human body, in the normal life activities of the human body, carrier proteins need to transport various substances, such as lipoproteins, hemoglobin, receptors on cell membranes, and transport proteins, among which lipoproteins are responsible for transporting fat, hemoglobin is responsible for transporting oxygen; Protein can also provide energy for the human body, which is a very important energy-supplying substance for the human body. Protein decomposition can provide energy for the human body.…”

Section: Introductionmentioning

confidence: 99%

Effect of Nutritional Protein Food on Metabolism and Physical Fitness of Wushu Athletes

Gao

Liang

2022

Journal of Food Quality

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In order to greatly improve the physical function of martial arts athletes, this topic studies the effect of high-protein food on the physical function of martial arts athletes. Forty-five athletes in martial arts events took 5 g of high-protein food every day, 6 times a week for 4weeks, and the left and right forearm, calcaneus bone mineral density, and venous blood was drawn to detect bone metabolism and biochemical indicators related to physical function. The experimental results showed that the bone mineral density of the right calcaneus of male martial arts athletes increased significantly after taking high-protein food, and the bone mineral density of left and right forearms and calcaneus of female martial arts athletes increased significantly. After taking high-protein food, the serum calcium and phosphorus of female athletes and the serum calcium of male athletes were significantly increased. Sex decreased, female athletes significantly decreased serum creatine kinase, and male athletes significantly increased IgM. It can be seen that taking high-protein food for 4 weeks has a certain improvement effect on the bone mineral density of female athletes’ forearm and calcaneus, but has little effect on the bone mineral density of male athletes’ forearm and calcaneus. It can be concluded that high-protein food has no adverse effect on athletes’ bone metabolism, blood biochemical indexes, and immune globulin, and can better maintain the physical function level of martial arts athletes.

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“…At the same time, when the oxyhemoglobin saturation of the athletes was higher, they achieved better performance, and when the oxyhemoglobin saturation was lower, the performance of the athletes decreased significantly. After comparative analysis, the longshort-term memory neural network prediction model could more accurately predict the performance of athletes in the 3000-meter obstacle course [4]. Although the physical fitness of these theoretical athletes has been explored, there is no effective way to train, so this paper hopes to use the Internet of ings and blockchain technology to effectively monitor the physical function of athletes.…”

Section: Related Workmentioning

confidence: 99%

Monitoring the Physical Condition of Basketball Players using IoT and Blockchain

Song

Tuo

2022

Mobile Information Systems

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As a popular competitive sport, basketball has attracted the attention of many people due to its warm and sunny characteristics. Athletics means results, but not everyone gets the results they want. With the continuous development of technology, people have gradually discovered that the physical function of athletes is one of the important factors affecting the performance of sports. The long-standing principle of “three big and one small” ignores the overall physical fitness of athletes, resulting in insufficient physical coordination and slow performance improvement. Competitive sports have always followed the principle of “three big and one small,” which means emphasizing high-strength and high-intensity training, and fundamentally ignoring the impact of small muscle groups and overall physical fitness on athletes. To overcome this disadvantage, this paper aims to study the physical condition monitoring of basketball players based on the Internet of Things and blockchain. It is expected to use the Internet of Things and blockchain technology to monitor the physical function of athletes in real time, formulate scientific training plans, and improve athletes’ competition. The essence of blockchain is a decentralized database, which is used to verify the validity of messages. With the promotion of Internet technology, it is essential to store and extract information from large network information. This paper compared the results of experimental methods to show the impact of the connection between physical function training and high-level basketball traditional training, proposed a new scalable storage and privacy protection scheme to solve the problem that a large amount of data cannot be stored on the blockchain. The experimental results in this paper showed that the lowest hemoglobin content of athletes before training was 131 g/L, and the highest was 157 g/L, indicating that the athletes were generally in good physical condition at this moment. After training, the lowest hemoglobin content of athletes was 117 g/L and the highest was 131 g/L, indicating that the athlete’s physical function state declined and the training intensity was too high.

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Application of recurrent neural network in predicting athletes' sports achievement

Cited by 8 publications

References 19 publications

Feasibility Study of Mass Sports Fitness Program Based on Neural Network Algorithm

Feasibility Study of Mass Sports Fitness Program Based on Neural Network Algorithm

Effect of Nutritional Protein Food on Metabolism and Physical Fitness of Wushu Athletes

Monitoring the Physical Condition of Basketball Players using IoT and Blockchain

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