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Method of Analyzing and Managing Volleyball Action by Using Action Sensor of Mobile Device

Xu Sun, Kai Zhao, Wei Jiang, Xinlong Jin, Mu Zhou
2021 Journal of Sensors  
This study mainly discusses the method of analyzing and managing volleyball action by using the action sensor of mobile device.  ...  With the development of electronic technology and sensor technology, more and more intelligent electronic devices integrate micro inertial sensors, which makes the research of human action recognition  ...  Conclusion In this study, firstly, the analysis and management method of volleyball action using a mobile device's action sensor is proposed, and a two-layer AP gesture selection SVM action recognition  ... 
doi:10.1155/2021/6232968 fatcat:uabmqnu3r5hdhgvtyfjm6uwyn4

A Diagnostic Model of Volleyball Techniques and Tactics Based on Wireless Communication Network

Zhigang Yuan, Yongkui Zhang, Bo Li, Xinlong Jin, Muhammad Zubair Asghar
2022 Computational and Mathematical Methods in Medicine  
To explore how to design the volleyball tactics analysis model of the wireless communication network, this paper proposes the method of LTE system and MIMO technology and designs the tactics analysis model  ...  With the development of wireless communication networks, how to use wireless communication networks in the analysis of volleyball tactics is the subject of this article.  ...  the mobility management entity.  ... 
doi:10.1155/2022/2185908 pmid:35401775 pmcid:PMC8986431 fatcat:2qkrbsgp3zf5vgiaxsnceova6m

High speed cameras in sport and exercise. Practical applications in sports training and performance analysis

Bernat Buscà Safont-Tria, Marc Quintana Recasens, Josep Maria Padullés Rius
2016 Aloma  
It analyzes the various tools on the market, as well as smart mobile phones and applications based on the use of the camera, high-speed in lots of cases.  ...  The high-speed cameras and the video in slow motion allowed studying and improve learning processes and performance in sports, analyzing the movement and evaluating several factors in these processes.  ...  Journal of Strength and Conditioning Research, 26(6), 1539-50. doi:10.1519  ... 
doi:10.51698/aloma.2016.34.2.13-23 fatcat:ujhluhdbmjaihbwch3yrkhtv74

An IoT-Based Motion Tracking System for Next-Generation Foot-Related Sports Training and Talent Selection

Shanshan Lu, Xiao Zhang, Jiangqing Wang, Yufan Wang, Mengjiao Fan, Yu Zhou, Chi-Hua Chen
2021 Journal of Healthcare Engineering  
The system built includes a customized wireless wearable sensing device (WWSDs), a mobile application, and a data processing interface-based cloud with an ankle attitude angle analysis model.  ...  The system built is cost-effective and easy-to-use and requires much fewer computational resources than traditional video-based analysis on monitoring motions of players during training.  ...  Acknowledgments is work was supported in part by the Natural Science Foundation of China under grant 61702336, the Hubei  ... 
doi:10.1155/2021/9958256 pmid:34257856 pmcid:PMC8253628 fatcat:nsy6rfxmgvagrcvq52cu4m7kwa

Innovative Use of Wrist-Worn Wearable Devices in the Sports Domain: A Systematic Review

Juan M. Santos-Gago, Mateo Ramos-Merino, Sonia Vallarades-Rodriguez, Luis M. Álvarez-Sabucedo, Manuel J. Fernández-Iglesias, Jose L. García-Soidán
2019 Electronics  
to identify specific types of movements or actions in specific sports, and (iii) to prevent injuries.  ...  Those works that were limited to evaluating sensor performance in sports activities and those in which wrist wearable devices did not play a significant role were excluded. 26 articles were eventually  ...  These devices include sensors, in most cases in direct contact with the skin of the user, which support the gathering of information of great potential for monitoring, managing and improving sports practice  ... 
doi:10.3390/electronics8111257 fatcat:szwdee3sz5ax7oqrnbq6up4d5a

Deep Integration of Physical Education and Multimedia Technology Using Internet of Things Technology

Yang Gu
2022 Wireless Communications and Mobile Computing  
By using SPSS17.0 after sorting out the data and conducting independent sample t-test, the confidence interval is 95%.  ...  At the same time, the teaching mode is applied to the teaching of volleyball spiking and table tennis technology, and the teaching effect of the teaching mode is analyzed and evaluated.  ...  Students enhance their learning experience by using a variety of hardware devices for human-computer interaction and feedback from the first person perspective.  ... 
doi:10.1155/2022/2556142 doaj:3cbfc8fc9c4a46418b384aad53bec6bd fatcat:wnybwclxhvarddommvopqusyli

A Survey of Content-Aware Video Analysis for Sports

Huang-Chia Shih
2018 IEEE transactions on circuits and systems for video technology (Print)  
Content-aware analysis methods are discussed with respect to object-, event-, and context-oriented groups.  ...  This study develops a deeper interpretation of content-aware sports video analysis by examining the insight offered by research into the structure of content under different scenarios.  ...  [100] introduced a sensor-based method for tracking a baseball player's swing movements by using a wearable platform that yields multidimensional physiological data collected from a body sensor network  ... 
doi:10.1109/tcsvt.2017.2655624 fatcat:rwqzu46sgfb7tpkcav4ysmh6ae

A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research Directions [article]

Banoth Thulasya Naik, Mohammad Farukh Hashmi, Neeraj Dhanraj Bokde
2022 arXiv   pre-print
This paper presents a comprehensive review of sports video analysis for various applications high-level analysis such as detection and classification of players, tracking player or ball in sports and predicting  ...  Recent developments in video analysis of sports and computer vision techniques have achieved significant improvements to enable a variety of critical operations.  ...  the literature on the use of wearable inertial sensors for performance measurement in various sports.  ... 
arXiv:2203.02281v2 fatcat:sstxbtgg6neyxcp47tigj7lbta

AndroCon: An Android-Based Context-Aware Middleware Framework

Jian Yu, Quan Z. Sheng, Olayinka Adeleye, Chris Wang
2018 EAI Endorsed Transactions on Context-aware Systems and Applications  
Moreover, mobile sensors are limited to physical context data acquisition and there is a need to integrate physical data provided by these sensors with social context data provided by various mobile applications  ...  Mobile devices have become major sources of context-aware data due to their ubiquity and sensing capabilities.  ...  CoCaMAAL implemented a service-oriented architecture for unified context generation, which is achieved by aggregating raw sensor data and timely selection of appropriate service using context management  ... 
doi:10.4108/eai.14-3-2018.154338 fatcat:huaoxid2sbes7orafkiqhutv34

A Systematic Literature Review of Intelligent Data Analysis Methods for Smart Sport Training

Alen Rajšp, Iztok Fister Fister
2020 Applied Sciences  
Sport domains in which SST is already used are presented, and phases of training are identified, together with the maturity of SST methods.  ...  Intelligent data analysis methods are presented, which are currently used in the field of Smart Sport Training (SST).  ...  Smart Sport Training (SST) is a type of sports training, which utilizes the use of wearables, sensors, and Internet of Things (IoT) devices, and or intelligent data analysis methods and tools to improve  ... 
doi:10.3390/app10093013 fatcat:mjdbbec6orb6rlk2zbgmzqjcfa

Video Analysis of Belt and Road Sports Events Based on Wireless Network and Artificial Intelligence Technology

Linlin Zhao, Delun Pan, Narasimhan Venkateswaran
2022 Wireless Communications and Mobile Computing  
The four different tennis courts, the player's motion capture, and the accuracy of the tennis landing prediction are further analyzed.  ...  And it is difficult for nonprofessionals to understand the meaning of the game.  ...  Sarvestan and Khalafi proposed a new method of judging whether there is a ball in the volleyball court in the shortest possible time by manipulating the line and ball layer structure around the court.  ... 
doi:10.1155/2022/8278045 fatcat:eked2dzjlzekvi3clapswb6nw4

Tech Optimization in Cybersecurity Defenses by Advanced ML Methods: The Use Case of Volleyball Industry

Yuchun Xiao, Zhuo Bi, Zhibin Chen, Konstantinos Demertzis
2022 Computational Intelligence and Neuroscience  
Individual and team performance can be improved by utilizing "smart" devices and applications that are connected through networks.  ...  evidenced by the adoption of IoT in sports years.  ...  Acknowledgments is study was supported by the Foundation of Hunan Educational Committee, Projects of Hunan Educational Reform (Research and Practice on Implementing Comprehensive Physical Education Teaching  ... 
doi:10.1155/2022/9907427 pmid:35619763 pmcid:PMC9129946 fatcat:zf23nbkh7vdgvifybmed4xy5d4

Comparison of Main Approaches for Extracting Behavior Features from Crowd Flow Analysis

Ebrahimpour, Wan, Cervantes, Luo, Ullah
2019 ISPRS International Journal of Geo-Information  
the quality of services in a smart city are analyzed.  ...  The key research contributions in each approach are presented, and the most significant techniques and algorithms used to improve the precision of results that could be integrated into solutions to enhance  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi8100440 fatcat:mq5zzdsomzfclc6uc725hsoe3i

A Review on Deep Learning Techniques for IoT Data

Kuruva Lakshmanna, Rajesh Kaluri, Nagaraja Gundluru, Zamil S. Alzamil, Dharmendra Singh Rajput, Arfat Ahmad Khan, Mohd Anul Haq, Ahmed Alhussen
2022 Electronics  
Deep learning has been used in a variety of projects involving IoT and mobile apps, with encouraging early results.  ...  Different studies suggested DL as a feasible solution to manage data produced by IoT because it was intended to handle a variety of data in large amounts, requiring almost real-time processing.  ...  Conflicts of Interest: The authors declare that they have no conflict of interest.  ... 
doi:10.3390/electronics11101604 fatcat:xdqompeur5a6pb72e7d5gtpqxa

Research on Human Behavior Modeling of Sports Culture Communication in Industrial 4.0 Intelligent Management

Zhihui Li, Huihua Chen
2022 Computational Intelligence and Neuroscience  
Human behavior trajectory is analyzed by data mining, human behavior recognition algorithm, behavior quantitative analysis method, and behavior feature model.  ...  The Internet of things, artificial intelligence, and digital production have been widely used in the industrial field.  ...  Data mining and processing methods are used to analyze human behavior data, and modeling research is carried out from the spatial characteristics of human behavior.  ... 
doi:10.1155/2022/9818226 pmid:35273643 pmcid:PMC8904130 fatcat:dpyefnxqnfbsvamgyefihuslq4
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