FormCoach：更聪明地举重，而非更费力
FormCoach: Lift Smarter, Not Harder
AI总结：
FormCoach利用视觉语言模型将摄像头转化为实时AI健身教练，构建了含1700对视频的数据集与自动化评估流程，揭示了AI与人类专家的差距，开辟了具身AI新前沿。
摘要：
良好的姿势是区分力量与劳损的关键，然而对于快速增长的居家健身爱好者群体而言，专家反馈往往遥不可及。FormCoach利用视觉语言模型（VLMs），将普通摄像头转变为始终在线的交互式AI训练伙伴，能够识别微妙的姿势错误并实时提供量身定制的纠正建议。我们通过一个网络界面展示了这一能力，并在包含1700对专家标注的用户-参考视频对、涵盖22项力量与灵活性训练的数据集上，对最先进的VLMs进行了基准测试。为了加速AI驱动教练的研究，我们发布了该数据集以及一个基于评分标准的自动化评估流程，从而实现跨模型的标准化比较。我们的基准测试揭示了其与人类水平教练相比存在的巨大差距，这凸显了将细致入微的上下文感知运动分析集成到交互式AI系统中的挑战与机遇。通过将姿势纠正构建为人机之间的协作与创造过程，FormCoach开辟了具身AI的新前沿。
英文摘要：
Good form is the difference between strength and strain, yet for the fast-growing community of at-home fitness enthusiasts, expert feedback is often out of reach. FormCoach transforms a simple camera into an always-on, interactive AI training partner, capable of spotting subtle form errors and delivering tailored corrections in real time, leveraging vision-language models (VLMs). We showcase this capability through a web interface and benchmark state-of-the-art VLMs on a dataset of 1,700 expert-annotated user-reference video pairs spanning 22 strength and mobility exercises. To accelerate research in AI-driven coaching, we release both the dataset and an automated, rubric-based evaluation pipeline, enabling standardized comparison across models. Our benchmarks reveal substantial gaps compared to human-level coaching, underscoring both the challenges and opportunities in integrating nuanced, context-aware movement analysis into interactive AI systems. By framing form correction as a collaborative and creative process between humans and machines, FormCoach opens a new frontier in embodied AI.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
