Development of an intelligent controller for sports training system based on FPGA

IF 2.1 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Yaser M. Abid, N. Kaittan, M. Mahdi, B. I. Bakri, A. Omran, M. Altaee, Sura Khalil Abid
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引用次数: 0

Abstract

Abstract Training, sports equipment, and facilities are the main aspects of sports advancement. Countries are investing heavily in the training of athletes, especially in table tennis. Athletes require basic equipment for exercises, but most athletes cannot afford the high cost; hence, the necessity for developing a low-cost automated system has increased. To enhance the quality of the athletes’ training, the proposed research focuses on using the enormous developments in artificial intelligence by developing an automated training system that can maintain the training duration and intensity whenever necessary. In this research, an intelligent controller has been designed to simulate training patterns of table tennis. The intelligent controller will control the system that sends the table tennis balls’ intensity, speed, and duration. The system will detect the hand sign that has been previously assigned to different speeds using an image detection method and will work accordingly by accelerating the speed using pulse width modulation techniques. Simply showing the athletes’ hand sign to the system will trigger the artificial intelligent camera to identify it, sending the tennis ball at the assigned speed. The artificial intelligence of the proposed device showed promising results in detecting hand signs with minimum errors in training sessions and intensity. The image detection accuracy collected from the intelligent controller during training was 90.05%. Furthermore, the proposed system has a minimal material cost and can be easily installed and used.
基于FPGA的运动训练系统智能控制器的研制
训练、运动器材和设施是体育进步的主要方面。各国正在大力投资于运动员的训练,特别是在乒乓球方面。运动员需要基本的运动设备,但大多数运动员负担不起高昂的费用;因此,开发低成本自动化系统的必要性增加了。为了提高运动员的训练质量,本研究的重点是利用人工智能的巨大发展,开发一种可以随时保持训练时间和强度的自动化训练系统。在本研究中,设计了一个智能控制器来模拟乒乓球的训练模式。智能控制器将控制发送乒乓球的强度、速度和持续时间的系统。该系统将使用图像检测方法检测先前分配给不同速度的手势,并使用脉冲宽度调制技术加速相应的速度。只需向系统显示运动员的手势,就会触发人工智能摄像头进行识别,并以指定的速度发送网球。该设备的人工智能在检测手势方面显示出良好的效果,在训练课程和强度方面的错误最小。训练时从智能控制器采集的图像检测准确率为90.05%。此外,该系统的材料成本最低,易于安装和使用。
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来源期刊
Journal of Intelligent Systems
Journal of Intelligent Systems COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
5.90
自引率
3.30%
发文量
77
审稿时长
51 weeks
期刊介绍: The Journal of Intelligent Systems aims to provide research and review papers, as well as Brief Communications at an interdisciplinary level, with the field of intelligent systems providing the focal point. This field includes areas like artificial intelligence, models and computational theories of human cognition, perception and motivation; brain models, artificial neural nets and neural computing. It covers contributions from the social, human and computer sciences to the analysis and application of information technology.
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