Our research group is dedicated to exploring advanced applications of 3D vision and artificial intelligence technologies in the fields of intelligent sports and sports rehabilitation. Through technological innovation and practical implementation, we aim to provide theoretical support and technical guarantees for the intelligent transformation of the sports industry and rehabilitation medicine, facilitating the digital development of physical education and proactive health. By integrating technologies such as artificial intelligence, computer vision, and visual analytics, our team not only delivers precise motion analysis and skill assessment tools for physical education, but also provides data-driven support for sports injury evaluation and personalized rehabilitation training programs. These interdisciplinary research outcomes contribute significantly to academic advancements in sports science, proactive health, and rehabilitation medicine, while also offering critical technical support for cutting-edge fields such as human-computer interaction and embodied intelligence.
An Adaptive Cascaded Multi-modal Recognition Framework for Sports Action Analysis
Complex Sports Action Generation Based on Large Language Models
Fine-Grained Rehabilitation Motion Analysis: A Knowledge-Enhancedmulti-Branch Network Approach
MM-Motion: A Multimodal Human Motion Dataset Supporting Action Understanding and Injury Risk Evaluation
High-Quality Indoor Scene 3D Reconstruction with RGB-D Cameras: A Brief Review
3D-Yoga: A 3D Yoga Dataset for Hierarchical Sports Action Analysis
TaiChi Action Quality Assessment and Visual Analysis with a Consumer RGB-D Camera
Skeleton-Based Action Quality Assessment via Partially Connected LSTM with Triplet Losses
FineRehab: A Multi-modality and Multi-task Dataset for Rehabilitation Analysis
TaiChi Action Capture and Performance Analysis with Multi-view RGB Cameras
Jianwei Li is a Ph.D. supervisor at Beijing Sport University. She received her Ph.D. degree in Pattern Recognition and Intelligent Systems from the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences. Her research focuses on artificial intelligence, computer vision, and multimodal perception. She serves as a member of the 3D Vision Committee of the China Society of Image and Graphics and a member of the Rehabilitation Engineering Committee of the Beijing Rehabilitation Medicine Association. She has led multiple provincial and ministerial-level research projects, including grants from the Beijing Natural Science Foundation, sub-projects of the National Key R&D Program of China, and the Sports Medicine Innovation Program of the General Administration of Sport of China.
• J Q Wu, 2025-Present, Multimodal Perception and Analysis
• R Cao, 2023-Present, Action Recognition, Quality Assessment, and 3D Human Pose Estimation
• K H Ran, 2023-Present, AIGC, 3D Reconstruction, and System Design
• T Z Wang, 2022-Present, Skeleton-based Motion Recognition and Quality Assessment
• H Q Hu, 2021-2024, Now: Work at Capital Institute of Physical Education
• J Y Li, 2021-2024, Now: Work at Army Medical University of the Chinese People's Liberation Army
• J Xue, 2022-2024, Now: Work at China Mobile
• S Y Mo, 2022-2024, Now: Work at ThoughtWorks
• Y W Ma, 2021-2025, Now: Student at Beihang University
• X Y Wang, 2020-2024, Now: Self-employment