《智能体育与健康（英文）》
《Intelligent Sports and Health》
期刊名称：智能体育与健康
主办：首都体育学院
ISSN刊号：3050-5445
编辑部邮箱：ISH@cupes.edu.cn
全文及投稿网址：
https://www.keaipublishing.com/en/journals/intelligent-sports-and-health
Journal Name: Intelligent Sports and Health（ISH）
Host：Capital University of Physical Education and Sports
ISSN Number: 3050-5445
E-mail：ish@cupes.edu.cn
Submission URL:
https://www.keaipublishing.com/en/journals/intelligent-sports-and-health
主 编：戴琼海、Miguel-Ángel Gómez-Ruano（西）
执行主编：刘成林、陈作松
副 主 编：侯增广、陈勋、Duarte Araújo（葡）
Editor-in-Chief: Qionghai Dai Miguel-Ángel Gómez-Ruano（Spain）
Executive Editor-in-Chief: Cheng-Lin Liu Zuosong Chen
Associate Editor-in-Chief: Zengguang Hou Xun Chen Duarte Araújo（Portugal）
《智能体育与健康》是一本经过同行评审的国际跨学科期刊，致力于推进运动、医学和工程领域的交叉创新。该期刊旨在通过发表基础理论和应用研究，包括原创研究论文、综述文章和案例研究，促进高水平的运动表现和身心健康。刊物主要专注于计算机视觉、运动智能设备、运动大数据、运动生理学和生物化学以及认知神经科学等领域的研究。该杂志拥有精心策划的国际编辑委员会，整合了多个学科，坚持高学术标准和诚信，为体育、医学和工程领域的跨学科研究提供了一个国际学术交流平台。
Intelligent Sports and Health (ISH) is a peer-reviewed, international, interdisciplinary journal dedicated to advancing cross-innovations in the fields of sports, medicine, and engineering. The journal aims to promote high-level athletic performance and physical and mental health through the publication of foundational theories and applied research, including original research papers, review articles, and case studies. ISH focuses primarily on research in areas such as computer vision, sports intelligent equipment, sports big data, sports physiology and biochemistry, and cognitive neuroscience. With a meticulously curated international editorial board that integrates multiple disciplines, the journal upholds high academic standards and integrity in order to provide an international academic communication platform for interdisciplinary research in the fields of sports, medicine, and engineering.
期刊内容主要涉及三大部分：
This journal contains three sections:
一、智能体育
Section A (Intelligent Sports)
本部分重点关注人工智能技术在体育和运动科学领域的前沿研究。它探索大数据分析和计算机视觉等技术在优化运动表现和竞争力方面的应用。这包括运动表现分析、生物力学分析和运动捕捉、个性化训练和康复处方设计、运动技能学习和控制以及运动损伤风险评估等领域。
This section focuses on the cutting-edge research of artificial intelligence technology in the field of sports and exercise science. It explores the application of technologies such as big data analysis and computer vision in optimizing athletic performance and competitive abilities. This includes areas such as sports performance analysis, biomechanical analysis and motion capture, personalized training and rehabilitation prescription design, motion skill learning and control, and assessment of sports injury risks.
二、智能健康
Section B (Intelligent Health)
本部分重点关注人工智能技术在人类健康领域的前沿研究：利用智能计算和大数据算法进行基因组学研究；数据驱动的伤害预测和康复决策支持系统；人工智能在医疗保健中的应用研究；通过智能设备收集和分析生理数据，利用人工智能技术、个性化健康管理和自我调节来改善早期疾病预测和预防。
This section focuses on the cutting-edge research of artificial intelligence technology in the field of human health: utilizing intelligent computing and big data algorithms for genomics research; data-driven prediction of injuries and decision support systems for rehabilitation; research on the application of artificial intelligence in healthcare; gathering and analyzing physiological data through intelligent devices, improving early disease prediction and prevention with AI technology, personalized health management, and self-regulation.
三、智能体育设备与监控
Section C (Intelligent Sport Equipment and Monitoring)
本部分重点关注运动表现和医疗环境领域智能材料和设备的前沿研究。例如，机器人技术、智能设备和外骨骼在康复和辅助训练中的应用；基于脑电图和眼动追踪的心理状态评估；脑机接口技术在运动心理分析中的应用；使用传感器设备进行步态识别和性能诊断，以及通过可穿戴设备进行运动跟踪和分析；以及用于运动训练和教练技术的智能设备和基础设施等。
This section focuses on the cutting-edge research regarding intelligent materials and equipment in the fields of athletic performance and healthcare environments. For instance, it explores the utilization of robotics technology, intelligent devices, and exoskeletons in rehabilitation and assistive training; the assessment of psychological states based on electroencephalogram and eye-tracking; the application of brain-computer interface technology in the analysis of exercise psychology; gait recognition and performance diagnosis using sensor devices, along with motion tracking and analysis via wearable devices; and intelligent devices and infrastructure for athletic training and coaching technologies, among others.
