FISICA：一款基于本体推荐的足底压力与姿态评估部署服务
FISICA: A Deployed Service for Plantar-Pressure and Posture Assessment with Ontology-Grounded Recommendation
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中文总结 AI 辅助
FISICA是一款已部署的身体评估服务，采用特制秤与规则评估器，以采样不变脊柱指标实现3D化身建模，在公开数据上达0.960 PCK@0.2，可返回足部负荷、姿态等结果并推荐鞋类与运动。
中文摘要 AI 辅助
FISICA是一款已投入生产的身体评估与推荐服务。一次站立测试搭配两张照片，即可返回足部负荷测量值、姿态坐标、驱动的3D化身、可视化报告以及排名后的鞋类和运动候选方案。测量由一款特制秤完成，该秤在1厘米网格上搭载634个力敏元件和4个称重传感器；基于规则的评估器控制所有推荐，而语言模型仅用于解释存储的结果。该方法的核心贡献是化身：并非通过调优增益将测量角度映射到装配上，而是采用与受试者相同的函数测量化身，直至两者达成一致，该采样不变脊柱指标可区分正常与驼背记录，差值为7.2度，而单关节公式的差值仅为0.9度。在生产环境中，通用API的中位响应时间为0.023秒，足底压力分析为0.45秒，推荐耗时2.16至2.26秒，且每次试验中基于规则的部分均在1秒内完成。服务的关键点图在公开数据上达到0.960的PCK@0.2，产品目录包含699款鞋类，带有10500条分类事实。一项已获批的研究为仍待开展的验证提供了放射学参考。
英文摘要
FISICA is a body-assessment and recommendation service running in production. One standing session with two photographs returns foot-loading measures, posture coordinates, a driven 3D avatar, a visual report, and ranked shoe and exercise candidates. Measurement comes from a purpose-built scale carrying 634 force-sensitive elements on a 1 cm grid and four load cells, and a rule-based evaluator controls every recommendation while a language model only explains the stored result. The method contribution is the avatar. Instead of mapping a measured angle onto a rig through a tuned gain, we measure the avatar with the same function used on the subject and solve until the two agree, on a sampling-invariant spinal metric that separated a normal from a kyphotic record by 7.2 degrees against 0.9 degrees for a single-joint formulation. In production, general APIs respond at a 0.023 s median, plantar-pressure analysis at 0.45 s, and recommendation at 2.16 s to 2.26 s with the rule-based portion under one second in every trial. The served keypoint graph reaches 0.960 PCK@0.2 on public data, and the catalog holds 699 shoes with 10,500 typed facts. An approved study supplies the radiographic reference for the validation still ahead.
发表机构
- University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）
- Care&Co.
机构由 AI 辅助整理，请以论文原文为准。
