scholarly journals Research on Track and Field training System Based on Network Technology

2016 ◽  
Vol 11 (1) ◽  
pp. 407-416
Author(s):  
Dexue Feng
Keyword(s):  
Training System ◽  
Track And Field ◽  
Network Technology ◽  
Field Training

scholarly journals Design and Implementation of Track and Field Training Information Collection and Feedback System Based on Multi-sensor Information Fusion

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Ling Li ◽  
Chengliang Li
Keyword(s):  
Information Fusion ◽  
Feedback System ◽  
Track And Field ◽  
Information Collection ◽  
Control Group ◽  
Average Performance ◽  
Field Training ◽  
Sensor Information ◽  
Experimental Group ◽  
Field Sports

AbstractTrack and field sports are known as the "mother of sports". Whether in the field of athletics, fitness, or education, modern track and field sports have developed rapidly. The field of athletics has reached the point where it challenges the limits of humans. The development of China is inseparable from the support of science and technology, and it is inseparable from human scientific research on track and field sports. In order to improve the scientific level of track and field training methods and develop our country's sports industry, this paper designs a track and field training information collection and feedback system based on multi-sensor information fusion. In the method part, this article briefly introduces the content of track and field sports, the mode of multi-sensor information fusion and the existing sports information collection system, using weight coefficient fusion method, D-S evidence theory algorithm and Kalman filter algorithm. This paper designs an information collection and feedback system based on multi-sensor information fusion, and conducts demand analysis, comparative analysis, and data record analysis on this system. By designing the experimental group and the control group, it can be seen that the average performance of the two groups of athletes in the 50-meter run in 8 weeks has improved, and the data of the experimental group and the control group show significant differences. After the experiment, the average performance of the male athletes in the control group increased from around 8.32 to around 8.12, an increase of 4.7%. The performance of male athletes in the experimental group increased from 8.37 to 7.92, an increase of 5.6%. It can also be known that before the experiment, the average performance of the athletes in the selected control group was due to the experimental group, but after 8 weeks of experiment, the increase in the experimental group was higher than that of the control group. This shows that the data collection and feedback system using multi-sensor information fusion can be more accurately and differentiatedly applied to track and field training, and can find problems in athletes, so as to prescribe the right medicine.

scholarly journals Proposing an Electronic System for Following-up and Managing the Field Training: Palestine Ahliya University as a Case: نظام إلكتروني مقترح لمتابعة وإدارة التدريب الميداني في جامعة فلسطين الأهلية: دراسة حالة

2019 ◽  
Vol 3 (4) ◽  
Author(s):  
Sameh Taqatqa, Ahmad Hasasneh, Jamil Itmazi
Keyword(s):  
Academic Staff ◽  
Electronic System ◽  
Training System ◽  
Field Training ◽  
Core Courses ◽  
Training Unit ◽  
Training Institutions ◽  
The University ◽  
Academic Year

Obviously, digital technology offers simplified solutions to solve or mitigate problems in general. In the academic sector in particular, the field training is one of the core courses that students must enroll during the third and fourth academic year, where the students have manually to select a relevant organization or institution based on their specialization. The academic staff and hosting institutions do not supervise the trainees as required due to lack of communication between them, wrong selection of the hosting institutions by students in some cases, limited following-up the trainees, thus leading to uncertainty in the number of training hours and reports required by students. These problems can be addressed or mitigated by proposing an electronic training system improving the communication between supervisors of field training, host institutions, and trainees and thus solving most of the mentioned problems. Based on this e-training system, the training unit at the university could therefore follow-up the trainees and thus improve the communication and cooperation with the training institutions. It will also definitely contribute in improving the training task itself for the students. In this proposed paper, the importance of the proposed system was presented. Other related systems were mentioned and used as references in the analysis stage. In the analytical stage, data was collected using 3 different questionnaires developed for students, supervising staff, and for the training institutions. Consequently, obstacles and problems faced these entities were extracted and mentioned. Finally, a preliminary design was proposed in this paper to develop and implement an electronic training system at Palestine Ahliya University.

scholarly journals Wireless Sensor Network Topology Theory for Data Collection and Analysis of Sports Training Human Body

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Beibei Fu
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Sensor Network ◽  
Network Topology ◽  
Base Station ◽  
Training System ◽  
Wireless Sensor ◽  
Network Technology ◽  
Sports Training ◽  
Application Requirements

This paper is based on wireless sensor network topology for sports training human data collection, and the collected data are studied and analyzed in depth. According to the application requirements of sports training, a sports training system consisting of an embedded data collection terminal, and a database server is designed using wireless sensor network technology. The hardware is designed with sensor nodes and base stations to collect athletes’ motion parameters in real time. The software is designed with node and base station control software and sports database management system to realize the receiving, storing, and analyzing of sports parameters. And the system experiments were conducted, and the experimental results show that this system meets the application requirements of sports training and provides an effective tool for scientific training decision research. The needs of designing sports training systems under wireless sensor networks are analyzed, and the system is designed and implemented. Our results confirm that the use of wireless sensor network technology in the design of the sports training system improves the system application performance by 16%. And the interactivity of the sports training system in practice has increased by 8%. All of these show that the design of the sports training system under the wireless sensor network meets the actual system application requirements and has a positive impact. The design of base station control, node control, and sports database software is implemented in the software system, which can effectively realize the collection, storage, and analysis of sports parameters. Finally, the designed wireless sensor network-based sports training system is tested, and the test results indicate that the system designed in this paper can meet the needs of sports training use.

Image Reconstruction Algorithm of Track and Field Action Based on 3D Virtual Animation

2014 ◽  
Vol 687-691 ◽  
pp. 3728-3732 ◽  
Author(s):  
Zhi Ping Tan
Keyword(s):  
Rapid Development ◽  
Action Learning ◽  
Reconstruction Algorithm ◽  
Track And Field ◽  
Multimedia Technology ◽  
Network Technology ◽  
Virtual Design ◽  
Adobe Flash ◽  
Education Industry ◽  
Field Action

With the increasing development of modern social information degree, the multimedia technology and network technology have rapid development, and the society puts forward new requirements for the education industry. Accordingly, this paper uses virtual design of Flash3D animation to development and design demonstration system of track and field action. The system uses the built-in method to extract the feature of track and field action, and uses the wavelet reconstruction algorithm to reconstruct the action, so as to achieve the function of action learning. We use Adobe Flash CS65 of the system to extract 5 groups of 1025 movements and reconstruct 10 groups of 2256 movements. Comparing the reconstructed image with the actual image frames, we found the new images reconstructed by the demonstration system are consisting with the real images frame. It provides a new computer method for teaching track and field action.

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