Artificial Intelligence Auxiliary Algorithm for Wushu Routine Competition Decision Based on Feature Fusion

Zhao, Chao; Li, Bing

doi:10.1155/2021/1632393

Cited by 7 publications

(7 citation statements)

References 24 publications

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“…Before and during the experiment, the research object and coaches are not told and implied any basic information about the experiment, so that the research object can be trained completely in a natural state, so as to ensure the credibility and effectiveness of the experiment. 7…”

Section: Experimental Methodsmentioning

confidence: 99%

Consequences of Lower Limb Strength Training on Jump Performance in Athletes of Martial Arts

Liu

2023

Rev Bras Med Esporte

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Introduction: Chinese martial art has a wide and deep history, and its routine passes are a particular artistic presentation. In exhibitions, choreography with jumping is highly appreciated. Empirically, it is believed that additional strengthening of the lower limbs may promote better results in the performances, but there are no reports in the scientific literature about such a statement. Objective: Verify the consequences of lower limb strength training on jumping ability in martial arts athletes. Methods: 30 first and second tier athletes from the professional women’s team of the Wushu Sports Management Center and Sports Bureau were selected as volunteers for the experimental research. The experiment lasted for three months. The characteristics of the development and change of strength of each muscle group in the knee joint of the athletes’ lower limb during the experimental training were detailed, and the commonly used means of lower limb strength training were found. Results: In strength training, the best means found were skipping steps and rapidly changing direction. The correlation coefficient between jumping and strength was 0.75. Conclusion: After the experiment, the maximum torque and the average power of the lower limb knee muscle groups of the three experimental groups increased in different ranges, which shows that the strength quality of the knee joint of the athletes increased during the suggested training. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.

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Section: Experimental Methodsmentioning

confidence: 99%

Consequences of Lower Limb Strength Training on Jump Performance in Athletes of Martial Arts

Liu

2023

Rev Bras Med Esporte

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“…Incorporating a blend of audio, visual, and interactive elements, multimedia enhances engagement and interactivity, making content more dynamic and memorable. From interactive graphics and videos to immersive virtual reality experiences, multimedia features cater to diverse preferences and learning styles [6]. Moreover, they offer flexibility in storytelling, enabling creators to convey complex concepts in compelling and accessible ways.…”

Section: Introductionmentioning

confidence: 99%

Novel Multimedia Feature Fusion Classification (Mffc) Model for Sports Game Design Enhancement

Xiaodong Wang

2024

jes

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Multimedia feature fusion is reshaping the landscape of sports game design, offering immersive and dynamic experiences for players and spectators alike. By integrating various multimedia elements such as audio, video, graphics, and interactive interfaces, game designers can create engaging environments that simulate the excitement and intensity of real-life sporting events. From lifelike player animations to realistic crowd reactions, multimedia feature fusion enhances the realism and authenticity of sports games, transporting players into the heart of the action. Furthermore, interactive interfaces enable players to customize their gaming experience, from choosing team strategies to controlling player movements, adding depth and complexity to gameplay. With advancements in technology, such as virtual reality and augmented reality, multimedia feature fusion is poised to revolutionize sports game design, offering unprecedented levels of immersion and interactivity for players worldwide. This paper explores the application of multimedia feature fusion in sports game design, utilizing the Multimedia Feature Fusion Classification (MFFC) framework alongside key feature extraction with the genetic model. By integrating various multimedia elements including audio, video, graphics, and interactive interfaces, the MFFC framework enhances the realism and excitement of sports games, offering immersive experiences for players. Through the genetic model, key features are extracted and optimized to improve gameplay dynamics, player interactions, and overall gaming experience. The effectiveness of the proposed approach is evaluated through simulated experiments and empirical validations, demonstrating significant enhancements in game realism, user engagement, and satisfaction. Results indicate a 30% increase in player immersion and a 25% improvement in gameplay dynamics compared to traditional game design methods.

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“…Mourad M proposed an algorithm for a blind spectrum recognition adapter based on a centralized recognition platform. He then applies neuronal phase adapter interference technology in decision-making to make the best and most accurate decisions [16].…”

Section: Introductionmentioning

confidence: 99%

The Impacts of Internet + Rural Financial Industry on County Economy and Industrial Growth Algorithm

Yuan-hui

2022

Discrete Dynamics in Nature and Society

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In recent years, commercial banks and rural financial institutions in and below the county area have developed rapidly, and the number of outlets has increased rapidly. But for the vast rural areas of the country, the number of outlets is still limited. At present, there are still a large number of areas with zero financial coverage in rural the country. The development of the financial industry in a region not only affects the level of local economic growth but also has a good effect on improving the income level of local residents and changing the way of local economic development. To better develop rural finance and county economy, this paper constructs an artificial neural network model and FA model to predict the rural finance industry, and four indicators are selected to test the performance measurement of the model. The hit rates of the five models are 54.65%, 53.75%, 59.78%, 65.1%, and 73.08%, respectively. The model proposed in this paper has the highest hit rate and can predict rural finance more accurately as well, allowing for clearer changes in county economic and industrial growth.

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Artificial Intelligence Auxiliary Algorithm for Wushu Routine Competition Decision Based on Feature Fusion

Cited by 7 publications

References 24 publications

Consequences of Lower Limb Strength Training on Jump Performance in Athletes of Martial Arts

Consequences of Lower Limb Strength Training on Jump Performance in Athletes of Martial Arts

Novel Multimedia Feature Fusion Classification (Mffc) Model for Sports Game Design Enhancement

The Impacts of Internet + Rural Financial Industry on County Economy and Industrial Growth Algorithm

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