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Computer vision on the piste剑道上的计算机视觉
Markerless motion capture and YOLOv8-Pose skeleton extraction turned into a 19-indicator biomechanics system for sabre technique.以无标记动作捕捉与 YOLOv8-Pose 骨架提取为基础,构建佩剑技术的 19 项生物力学指标体系。
Sabre · Sport Science · AI佩剑 · 运动科学 · 人工智能
National Class-I sabre athlete · Grade-A referee · M.S. in Physical Education & Training佩剑一级运动员 · 国家A级击剑裁判 · 体育教育训练学硕士
I coach sabre, referee it at national level, and research it. My work puts computer vision and expert-aligned language models onto the piste — so that what a senior coach sees in a lunge can be measured, explained, and taught.我执教佩剑,也在全国级赛事执裁,并以它为研究对象。我的工作是把计算机视觉与专家对齐的大语言模型带上剑道——让资深教练在一个弓步里看到的东西,能够被测量、被解释、被传授。
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Conference presentations会议报告
International and national, 2024–2026国际及全国会议,2024–2026
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Events officiated执裁赛事
Grade-A referee, Chinese Fencing Association中国击剑协会 A级裁判
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Golds as head coach执教金牌
4 national · 5 Beijing municipal全国级 4 枚 · 北京市级 5 枚
5yrs年
Seasons coaching sabre执教学年
High School Affiliated to Peking University北京大学附属中学
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Three threads of one question: what does an expert coach see, and can a machine be taught to see it the same way?三条线索指向同一个问题——专家教练究竟看见了什么,机器能否被教会用同样的方式去看?
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Markerless motion capture and YOLOv8-Pose skeleton extraction turned into a 19-indicator biomechanics system for sabre technique.以无标记动作捕捉与 YOLOv8-Pose 骨架提取为基础,构建佩剑技术的 19 项生物力学指标体系。
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Two-stage SFT + DPO alignment (Qwen2.5-7B + LoRA) so a model reasons along the diagnostic pathway a senior coach actually follows.两阶段 SFT + DPO 对齐(Qwen2.5-7B + LoRA),让模型沿着资深教练真实的诊断路径进行推理。
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Interpretable lower-limb injury-risk reports for sabre fencers aged 12–18, validated against national-level coach evaluation.为 12–18 岁佩剑运动员生成可解释的下肢损伤风险报告,并以国家级教练员评估作为验证基准。
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Sept 2020 – Jun 20242020.09 – 2024.06
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