Retraction Note: Research on core strength training of aerobics based on artificial intelligence and sensor network

Jia, Liqiang; Li, Lingshu

doi:10.1186/s13638-022-02202-7

Cited by 7 publications

(6 citation statements)

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“…At the same time, tourism enterprises can also analyze, calculate, and summarize according to big data, constantly tap the market demand of the tourism industry, and improve the satisfaction of tourists. According to the analysis and positioning, so as to find the law of the tourism market, such as different groups of preferences for different tourism cities, tourism activities, and preference for tourism transportation, these are problems to be considered and solved in the development of the tourism industry [2]. In tourism activities, the calculation and summary of big data can accurately grasp the preferences of tourists, so as to meet the various needs of tourists, enhance the experience and satisfaction of tourists, and thus promote the development of the tourism industry [3].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Research on Tourism Route Planning Based on Artificial Intelligence Technology

Ding

2021

Wireless Communications and Mobile Computing

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Study on designing reasonable travel routes with the least time cost and the highest experience index was conducted. An artificial intelligence-based wireless sensor travel route planning study is proposed. First, the improved TSP route planning model is built at the least time consumption and combines the normal distributed random number (ND) with the genetic algorithm (GA) and proposes the ND-GA algorithm, analyzes the overall structure, node structure, communication mode, and network coverage of the wireless sensor network, and gives a mathematical model of wireless transmission energy consumption. Using the proposed algorithm to solve the travel route and detailed itinerary, with time, the 10-year travel route design model based on multitarget dynamic optimization finally detailed analysis of the model results and sensitivity analysis results showing that the application of AI wireless sensor technology can also make the scenic work more efficient; for example, a face recognition system can improve the speed of ticket checking. Although the application of AI technology is widely used in tourism activities, there are some problems, which require the continuous optimization and innovation of AI wireless sensor technology by relevant practitioners, so that it can better serve tourists.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Research on Tourism Route Planning Based on Artificial Intelligence Technology

Ding

2021

Wireless Communications and Mobile Computing

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“…The "standard margin" also known as the coefficient of variation is typically used to assess how two or more sets of data differ from one another (Jia & Li, 2022). If the measured data is from the same category and the unit of measurement is the same, we can directly compare the change in the data.…”

Section: Coefficient Of Variationmentioning

confidence: 99%

Research on the intervention practice of the school physical education environment on the physical activity of college students

Chen,

Chiu

2023

Nurture

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Purpose: This study discusses the main factors that affect the physical education environment of universities and college students' physical activity levels. Design/Methodology/Approach: This study used the questionnaire method and the experimental method to conduct exploratory research on 286 college students (boys = 141, girls = 145) in eight teaching classes from new comers to senior students at Chongqing Normal University (one experimental class and one control class in each grade). Findings: The main factors of the school’s physical education environment were the interpersonal social environment, the natural physical environment and the physical education system environment. There was no significant statistical difference before the experiment. The experimental group showed statistical differences after the experiment. A substantial effect size was found in the intervention's effectiveness tests (2 * 2 ANOVA) and (2 * 3 ANOVA). Conclusion: The school physical education environment can efficiently promote the improvement of the physical activity level of college students and the improvement effect has specific time persistence. The interpersonal social environment, the natural physical environment and the physical education system environment can be carried out when participating in the school’s physical education environment. Research Limitations: The limitation is that the experiment period needs to be longer. Practical Implications: Intervention practice can effectively improve college students' physical activity through the school sports environment. Contribution to Literature: This paper explores a new way to promote college students' physical exercise.

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“…By analyzing the working process of the module, the intensity of aerobics special movements is analyzed. The experimental results show that the designed system can realize the real-time and stable strength training of aerobics special movements and improve the training efficiency [4]. Shao and Cheng analyzed the factors affecting the quality of aerobics education in coastal areas and put forward corresponding countermeasures and suggestions to improve the quality of aerobics education.…”

Section: Related Workmentioning

confidence: 99%

The Simulation of Aerobics Performance Based on Virtual Reality

Zhao

2022

Wireless Communications and Mobile Computing

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The competition aerobics training project is based on the continuous summarization of experience, and on the basis of maintaining the characteristics of its own project, it also actively draws on the structure of other types of skills, and it is developed on the basis of further enriching the new “health, strength, and beauty” characteristics of competition aerobics training. This paper studies and analyzes the simulation of aerobics performance based on virtual reality. This paper firstly gives the definition of virtual reality and then studies and analyzes the action simulation recognition algorithm. The calculation methods of human action recognition usually include two types, the behavior recognition algorithm corresponding to the template and the behavior recognition algorithm based on the state space. And this paper studies the number of formation changes and the speed of the fitness aerobics complete set of movements. This paper analyzes the number and space usage of the aerobics complete sets of formation changing venues and also studies the positioning and moving paths of the aerobics complete sets of movement players. The experimental results show that the use of a complete set of three-dimensional space basically meets the requirements. The use of three-dimensional space in group B is more abundant than that in group A, and the total number of five types of space transformations is more than 10. The three groups and the two types of space have more conversions to reflect the sense of hierarchy, making the complete set of movements more active, but the number of conversions should be increased.

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Retraction Note: Research on core strength training of aerobics based on artificial intelligence and sensor network

Cited by 7 publications

References 0 publications

[Retracted] Research on Tourism Route Planning Based on Artificial Intelligence Technology

[Retracted] Research on Tourism Route Planning Based on Artificial Intelligence Technology

Research on the intervention practice of the school physical education environment on the physical activity of college students

The Simulation of Aerobics Performance Based on Virtual Reality

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