基 本 情 况
姓名： 沈燕飞
出生年月：1976年4月
职务： 体育工程学院院长，中国体育大数据中心主任
职称： 教授，博士生导师
所属团队：运动感知技术
研究方向：智能体育装备、体育大数据
邮 箱： syf@bsu.edu.cn
电话： 010-62989234
教育经历
1995年9月至1999年7月 武汉大学（原武汉测绘科技大学） 学士
1999年9月至2002年7月 武汉大学 硕士
2011年9月至2014年7月 中国科学院大学 博士
工作经历
2002.07-2015.03 中国科学院计算技术研究所助理研究员、副研究员
2015.03-2015.12 北京小米科技公司高级算法工程师
2015.12-2018.05 北京邮电大学副教授
2018.05-至今 北京体育大学副教授、教授、博士生导师
讲授课程
智能体育概论
程序设计C语言
数据结构与算法基础
计算机视觉
社会兼职
中国体育科学学会体育工程分会副主任委员
中国技术经济学会数字体育专业委员会副主任委员
中国仿真学会体育系统仿真（数字体育）专业委员会副主任委员
发表论文、专利、软件著作
[1]. 沈媛媛，张燕明，沈燕飞.基于视觉的人体动作质量评价研究综述[J]. 自动化学报，2025，51(02):404-426.DOI:10.16383/j.aas.c230551.
[2]. Yuan-Yuan Shen, Qing-Jun Xing, & Yan-Fei Shen. (2024). Markerless vision-based functional movement screening movements evaluation with deep neural networks, iScience, 27(1). https://doi.org/10.1016/iisci.2023.108705.
[3]. Qingjun Xing, Ruiwei Hong, Yuanyuan Shen, & Yanfei Shen. (2023). Design and validation of depth camera-based static posture assessment system, iScience, 26(10). https://doi.org/10.1016/j.isci.2023.107974.
[4]. Ruiwei Hong, Qingjun Xing, Yuanyuan Shen, & Yanfei Shen. (2023). Effective Quantization Evaluation Method of Functional Movement Screening with Improved Gaussian Mixture Model. Appl. Sci., 13(13), 7487. https://doi.org/10.3390/app13137487.
[5]. Qing-Jun Xing, Yuan-Yuan Shen, Run Cao, Shou-Xin Zong, Shu-Xiang Zhao, & Yan-Fei Shen. (2022). Functional movement screen dataset collected with two Azure Kinect depth sensors. Sci Data, 9(1), 104. https://doi.org/10.1038/s41597-022-01188-7s.
[6]. Jianwei Li, Qingyue Hu, Tianxiao Guo, Siqi Wang, & Yanfei Shen. (2021). What and How Well You Exercised? An Efficient Analysis Framework for Fitness Actions. Journal of Visual Communication and Image Representation, 80, 103304. https://doi.org/10.1016/j.jvcir.2021.103304.
[7]. 郭天晓, 胡庆锐, 李建伟 & 沈燕飞. (2021). 基于人体骨架特征编码的健身动作识别方法[J]. 计算机应用, 41(5): 1458-1464.
[8]. Jianwei Li, Haiqing Hu, Qingjun Xing, Xinyu Wang, Jinyang Li, & Yanfei Shen. (2022). Tai Chi Action Quality Assessment and Visual Analysis with a Consumer RGB-D Camera. 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP), 1-6.
[9]. Jianwei Li, Hainan Cui, Tianxiao Guo, Qingrui Hu, & Yanfei Shen. (2020). Efficient Fitness Action Analysis Based on Spatio-Temporal Feature Encoding. 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6.
[10]. Yiwei Wu, Yanfei Shen, Yinsheng Tian, Qi Chen, & Lixin Sun. (2023). Quantifying the effects of ice hockey upper body pads on mobility and comfort. iScience, 27(1). https://doi.org/10.1016/j.isci.2023.108606.
[11]. Jianwei Li, Wei Gao, Yihong Wu, Yangdong Liu & Yanfei Shen. (2022). High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review. Comp. Visual Media 8, 369-393. https://doi.org/10.1007/s41095-021-0250-8.
[12]. Lu, Changda, Kaiyu Zhang, Yixiong Cui, Yinsheng Tian, Siyao Wang, Jie Cao, & Yanfei Shen. (2023). Development and Evaluation of a Full-Waveform Resistance Training Monitoring System Based on a Linear Position Transducer. Sensors, 23(5), 2435. https://doi.org/10.3390/s23052435.
[13]. Kuan Tao, Yuhan Huang, Yanfei Shen, & Lixin Sun. (2022). Automated Stress Recognition Using Supervised Learning Classifiers by Interactive Virtual Reality Scenes. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 2060-2066. https://doi.org/10.1109/TNSRE.2022.3192571.
[14]. Bingyu Pan, Zhipei Huang, Jiankang Wu, & Yanfei Shen. (2021). Primitive muscle synergies reflect different modes of coordination in upper limb motions. Med Biol Eng Comput, 59, 2153–2163. https://doi.org/10.1007/s11517-021-02429-4.
[15]. Yuesen Li, Shouxin Zong, Yanfei Shen, Zhiqiang Pu, Miguel-Ángel Gómez, & Yixiong Cui. (2022). Characterizing player’s playing styles based on player vectors for each playing position in the Chinese Football Super League, Journal of Sports Sciences, 40(14), 1629-1640. https://doi.org/10.1080/02640414.2022.2096771.
[16]. Lingfeng Ruan, Huanmin Ge, Miguel-Ángel Gómez, Yanfei Shen, Bingnan Gong, & Yixiong Cui. (2023). Analysis of defensive playing styles in the professional Chinese Football Super League, Science and Medicine in Football, 7(3), 279-287, https://doi.org/10.1080/24733938.2022.2099964.
[17]. Lingfeng Ruan, Huanmin Ge, Yanfei Shen, Zhiqiang Pu, Shouxin Zong, & Yixiong Cui. (2022). Quantifying the Effectiveness of Defensive Playing Styles in the Chinese Football Super League. Front Psychol, 13, 899199. https://doi.org/10.3389/fpsyg.2022.899199.
[18]. Tianxiao Guo, Yixiong Cui, Weifan Min, Wenjie Zhang, Jing Mi, & Yanfei Shen. (2022). Exploring the relationship between basketball rotation and competitive performance using substitution network analysis, Journal of Sports Sciences, 40(24), 2704-2713. https://doi.org/10.1080/02640414.2023.2189216.
[19]. Yuesen Li, Runqing Ma, Bruno Gonçalves, Bingnan Gong, Yixiong Cui, & Yanfei Shen. (2020). Data-driven team ranking and match performance analysis in Chinese Football Super League, Chaos, Solitons & Fractals, 141, 110330. https://doi.org/10.1016/j.chaos.2020.110330.
[20]. Tianxiao Guo, Kuan Tao, Qingrui Hu, & Yanfei Shen. (2020). Detection of Ice Hockey Players and Teams via a Two-Phase Cascaded CNN Model. IEEE Access, 8, 195062-195073. https://doi.org/10.1109/ACCESS.2020.3033580.
[21]. 郭天晓,胡庆锐,李建伟, & 沈燕飞.基于人体骨架特征编码的健身动作识别方法[J/OL].计算机应用.doi:10.11772/j.issn.1001-9081.2020071113.
[22]. Yuesen Li, Runqing Ma, Yanfei Shen, & Yixiong Cui. (2020). Data-driven team ranking and match performance analysis in Chinese Football Super League. The 25th Europeen College of Sport Science, Sevilla, Spain.
[23]. Runqing Ma, Yuesen Li, Yixiong Cui, & Yanfei Shen. (2020). Exploring effective football pass prediction algorithms using machine learning and positional relations. The 25th Europeen College of Sport Science, Sevilla, Spain.
[24]. Cui, Y., Liu, H., Shen, Y., & Gómez, M.-Á. (2020). Monitoring tennis match load: effect of skill level and experience on physical and physiological performance. XXV Annual Congress of the European College of Sport Science, Sevilla, Spain.
[25]. Cui, Y., Liu, HY., Shen, Y., Bao, D., Zhang, S., Zhou, C., & Gómez, M.-Á. (2019). Nothing ventured, no point gained—an analysis of breakpoint performance of tennis players. XXIV Annual Congress of the European College of Sport Science. Prague, Czech Republic.
[26]. Cui, Y., Liu, HY., Shen, Y., & Gómez, & M.-Á. (2019). Analyzing tie-break performance of professional tennis players during Grand Slam. Asia-Pacific Conference of Performance Analysis of Sport 2019. Nagoya, Japan.
[27]. 崔一雄，赵月，刘昊扬，沈燕飞 & 张广泽（2019）. 基于智能追踪技术对高校网球专业球员比赛运动负荷监控研究. 第十一届全国体育科学大会.江苏，南京.
承担项目
2011.01-2013.12， 作为负责人承担国家青年科学基金项目“能量受限的无线视频编码技术研究”；
2015.01-2018.12， 作为负责人承担国家自然科学基金面上项目“基于压缩感知理论的视频编解码技术研究”；
2018.12-2022.12， 作为子课题负责人承担国家重点研发计划“运动促进健康技术平台构建与应用示范”中的智能体质测量部分的研究工作；
2018.09-2022.0， 作为技术骨干参与“科技冬奥”国家重点研发计划“冬季项目运动员专项能力特征和科学选材关键技术的研究”项目;
2019.1-2023.12， 横向课题“科学健身解决方案”、“篮球运动数据采集与分析解决方案”；
2021.01-2023.12， 科技部2030新一代人工智能重大项目“对抗推演关键技术及系统研发”项目子课题
2021.01-2024.12， 作为负责人承担国家自然科学基金面上项目“时空数据驱动的团体运动表现分析与评价技术研究”；
2024.5-2025.12， 横向课题“穿戴设备对跑步生理指标的测量和应用”
2024.12-2026.12， 国家体育总局重大科技创新项目“游泳运动智能化水上水下多角度同步视频辅助分析系统开发与应用”
2025.4-2026.3， 横向课题“基于穿戴设备的力量训练效果评估技术”
获奖荣誉
（1）“基于非局部相似模型的压缩感知图像恢复算法”论文获第三届中国科协优秀科技论文奖；
（2）“面向体育训练的三维人体运动模拟与视频分析系统”获得北京市科学技术奖一等奖；
（3）“卫星/WiFi/INS/图像多模融合高精度全空间定位技术”获得中国卫星导航定位协会科技进步奖三等奖；
