Digitalization and Information Management Mechanism of Sports Events Based on Cooperative Sensing Model of Multisensor Nodes

This paper provides an in-depth study and analysis of the optimization of sports event management systems using wireless sensor networks. Aiming at the monitoring task of a directed wireless sensor network in a three-dimensional environment, the directed sensing nodes scattered inside the designated monitoring area in a random deployment manner usually have uneven distribution and other problems; we analyze the characteristics of the directed sensor nodes, probabilistic sensing model, and the cooperative sensing model of multiple sensor nodes for monitoring target points and propose a sensing optimization strategy in polar coordinates to guide the three-dimensional plane directed orientation adjustment and sensing optimization of sensor nodes, thus enhancing the sensing capability of network nodes. The experimental results confirm that the algorithm can improve the coverage of the area to be monitored and the quality of sensing service, and it reduces the overall energy consumption of the network by using the distributed node synchronization scheduling mechanism to extend the life cycle of the network to maintain good monitoring capability under the premise of the limited total usage of the directed nodes in wireless sensor networks. The application of wireless sensor network technology in sports competition management mainly includes the application of smart wearable devices in sports competition training, the application of goal-line technology in sports competition, and the application of eagle eye technology in sports events, all three technologies have certain advantages in the application of sports competition, and all of their help to promote the improvement of sports event management and the development of sports industry; the second aspect is wireless sensor. The second aspect is the application of wireless sensor network technology in sports event information management, which is mainly used to collect information related to sports events and fully utilize it to make sports event management more informative and digital, which is helpful to improve the level of sports event management; the third aspect is the application of wireless sensor network technology in sports event stadium management, which is mainly based on intelligent stadiums to create a more spectator-friendly and good experience for the audience, a more ornamental and good experience viewing place, to promote the development and growth of sports industry.

E-Sports Industry in the Time of Green Digital Ecosystems

The phenomenon known as “eSports” has been growing in numbers in terms of revenue, market share, and popularity. This research aims to study this phenomenon in a larger scale which include findings from Southeast Asian countries such as Thailand and Singapore. The structure of the study will compromise of describing the eSports industry which is crucial to understanding the whole ecosystem of eSports, such as the economics behind the industry and the different roles that come under the industry. In order to do that, the application of a decision support systems tool is used to further study the future of eSports.

Medicine and athletics evolution

The article discusses the most popular type of Olympic movement — athletics. All stages of athletics formation and development are highlighted and described.A connection from ancient athleticism to modern Olympism is described, including the problem of globalization of sports and medical supervision.From the very beginning, athletics has established itself as an international sport in which men and women from all over the world participate.New trends of the late XX — early XXI century have a serious impact on various areas of modern life, including the sports industry and the Olympic movement.The communication revolution has brought not only benefits, but also created new problems. Based on the study of athletics development, it has been established that the Olympic movement remains an important international institution working to strengthen mutual understanding and cooperation between peoples.Further, the International Olympic Committee notes the expansion of educational work to spread the Olympic values and ideals of sport.The article is devoted to topical issues of the Olympic movement, which have a significant impact on social processes.

Inertial measurement unit–based cricket stroke improviser using polynomial kernel support vector machines

Wearable devices have now become virtual assistants, and the sports industry also aims in technological integration. The objective of this research article is to introduce a wearable device to detect and record the movement of a cricket player during his training session. The designed system collects the displacement and rotational information through a combination of accelerometer and gyroscope placed on the cricket bat. We propose a data-driven machine learning model which takes raw analog data as input for classifying the strokes. The algorithm used is the polynomial support vector machine, a supervised classification algorithm with 300 independent variables to enable accurate and real-time stroke classification. The system has a dedicated user interface for accessing these real-time details. This wearable embedded system does not require any cloud services as the complex analyses are performed in the processor itself. The player and the coach can get visual reference support, and the mistakes can be corrected during the training period itself. The device can detect the arm action of a cricket player with a success rate of 97%. The hardware is powered using a 10,000 mAh rechargeable battery.

Prediction of Evolution and Development Trend in Sports Industry Cluster Based on Particle Swarm Optimization

Sports industry cluster refers to the economic phenomenon that sports related enterprises gather in a large number in a specific area. For the sports enterprises in the cluster, they can obtain huge competitive advantages through enterprise agglomeration, thus obtaining better development and rich economic benefits. The optimization of particle swarm optimization is interlinked with the agglomeration of industrial clusters. Therefore, in view of the limitation of the standard particle swarm optimization (PSO) algorithm, an improved particle swarm optimization algorithm-diaphragm particle swarm optimization (D-PSO) was proposed and used to simulate the formation of sports industry clusters. D-PSO introduces the cell membrane processing mechanism of the biological system into the PSO algorithm, which improves the ability of the PSO algorithm to get rid of local extremum points. The competitiveness value of the sports industry cluster is the value of the objective function solved by the D-PSO algorithm. The geographical coordinates of the industrial cluster were the locations in the particle search space of the D-PSO algorithm. The D-PSO algorithm is used to simulate the aggregation process of enterprises in the cluster. Compared with the standard PSO, the D-PSO algorithm has better convergence performance and optimal rate. The results of case analysis show that the proposed method can effectively predict the development trend of sports industrial clusters.

On the Body Image and Standard Score Scale for Ideal Body of Women in Ho Chi Minh, Vietnam

Developing the shape of human bodies is both one of the important tasks of the sports industry in each country in the world and the need of each individual, especially women. So, what body image is considered standard? We have researched and initially built a rating scale for each of the basic body standards indicators of women including 7/9 body standards indicators. At the same time, it also developed a standard to evaluate the body image of women's body shape through the ratio between waist measurement and indicators such as standing height, bust measurement, and hips measurement. During this study, we used common methods such as reference methods related to research objectives; expert interviews; anthropometric; Statistical mathematics. The study has developed a scale to evaluate the indicators of body beautiful image for each criterion of ideal body standards. This is the basis for them to be able to calculate the measurements of each fitness criterion to exercise in proportion to their height so that they have an ideal body standard, as well as a source of reference for other athletes, trainers, body image trainers, physical education teachers, or researchers on women's health in Vietnam. From there, it helps the practitioner know the correct rings needed have to work out based on his height. This is the basis for them to be able to calculate the measurements of each fitness criterion to exercise in proportion to their height so that they have an ideal body standard.

Sports Action Recognition Based on Image Processing Technology and Analysis of the Development of Sports Industry Pattern

The current era is an information age, and society is turning to the information age. The image processing technology is also widely used in various fields, and the technology of sports action recognition based on image processing technology can also be said to be appropriate. This article uses a spatial visual feature analysis algorithm to implement it. To implement this algorithm, a series of work such as image collection, feature extraction, and action recognition must be completed first and then implemented through texture functions and other related functions. This algorithm can be used to complete the image-based sports action recognition technology at the minimum time cost. This algorithm can help sportsmen better complete training and standardize movements to a certain extent. As for the development of China’s current sports industry structure, it is also steadily improving. The people’s love for sports is getting stronger and stronger, which also makes the development of China’s sports industry still benefit a lot.