基 本 情 況
姓名： 沈燕飛
出生年月：1976年4月
職務： 意昂2院長，中國體育大數據中心主任
職稱： 教授，博士生導師
所屬團隊：運動感知技術
研究方向：智能體育裝備、體育大數據
郵 箱： syf@bsu.edu.cn
電話： 010-62989234
教育經歷
1995年9月至1999年7月 武漢大學（原武漢測繪科技大學） 學士
1999年9月至2002年7月 武漢大學 碩士
2011年9月至2014年7月 中國科意昂2大學 博士
工作經歷
2002.07-2015.03 中國科意昂2計算技術研究所助理研究員、副研究員
2015.03-2015.12 北京小米科技公司高級算法工程師
2015.12-2018.05 北京郵電大學副教授
2018.05-至今 意昂2平台副教授、教授、博士生導師
講授課程
智能體育概論
程序設計C語言
數據結構與算法基礎
計算機視覺
社會兼職
中國體育科學學會體育工程分會副主任委員
中國技術經濟學會數字體育專業委員會副主任委員
中國仿真學會體育系統仿真（數字體育）專業委員會副主任委員
發表論文、專利、軟件著作
[1]. 沈媛媛，張燕明，沈燕飛.基於視覺的人體動作質量評價研究綜述[J]. 自動化學報，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]. 郭天曉, 胡慶銳, 李建偉 & 沈燕飛. (2021). 基於人體骨架特征編碼的健身動作識別方法[J]. 計算機應用, 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]. 郭天曉,胡慶銳,李建偉, & 沈燕飛.基於人體骨架特征編碼的健身動作識別方法[J/OL].計算機應用.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，趙月，劉昊揚，沈燕飛 & 張廣澤（2019）. 基於智能追蹤技術對高校網球專業球員比賽運動負荷監控研究. 第十一屆全國體育科學大會.江蘇，南京.
承擔項目
2011.01-2013.12， 作為負責人承擔國家青年科學基金項目“能量受限的無線視頻編碼技術研究”；
2015.01-2018.12， 作為負責人承擔國家自然科學基金面上項目“基於壓縮感知理論的視頻編解碼技術研究”；
2018.12-2022.12， 作為子課題負責人承擔國家重點研發計劃“運動促進健康技術平臺構建與應用示範”中的智能體質測量部分的研究工作；
2018.09-2022.0， 作為技術骨幹參與“科技冬奧”國家重點研發計劃“冬季項目運動員專項能力特征和科學選材關鍵技術的研究”項目;
2019.1-2023.12， 橫向課題“科學健身解決方案”、“籃球運動數據采集與分析解決方案”；
2021.01-2023.12， 科技部2030新一代人工智能重大項目“對抗推演關鍵技術及系統研發”項目子課題
2021.01-2024.12， 作為負責人承擔國家自然科學基金面上項目“時空數據驅動的團體運動表現分析與評價技術研究”；
2024.5-2025.12， 橫向課題“穿戴設備對跑步生理指標的測量和應用”
2024.12-2026.12， 國家體育總局重大科技創新項目“遊泳運動智能化水上水下多角度同步視頻輔助分析系統開發與應用”
2025.4-2026.3， 橫向課題“基於穿戴設備的力量訓練效果評估技術”
獲獎榮譽
（1）“基於非局部相似模型的壓縮感知圖像恢復算法”論文獲第三屆中國科協優秀科技論文獎；
（2）“面向體育訓練的三維人體運動模擬與視頻分析系統”獲得北京市科學技術獎一等獎；
（3）“衛星/WiFi/INS/圖像多模融合高精度全空間定位技術”獲得中國衛星導航定位協會科技進步獎三等獎；
