用自洽脊柱度量法生成人体姿态评估与鞋履推荐，已上线服务。
FISICA: A Deployed Service for Plantar-Pressure and Posture Assessment with Ontology-Grounded Recommendation
- 通过匹配受试者与虚拟角色的测量函数，实现高保真的姿态重建。
- 脊柱角度差达7.2度可区分正常与驼背，优于单关节法的0.9度。
- 系统实时响应，推荐模块<1秒完成，支持699款鞋履与上万条知识事实。
FISICA 是一个已投入生产的体态评估与推荐服务。一次站立检测结合两张照片即可生成足压分布、姿态坐标、驱动型3D角色、可视化报告及排序后的鞋履与运动建议。测量依赖于内置634个力敏元件（1厘米网格）和四个负载单元的专用平台；所有推荐由规则引擎控制，语言模型仅用于解释已存储结果。方法核心在于角色重建：不采用调参映射角度至骨骼模型，而是使角色测量函数与受试者一致，并迭代求解，基于采样不变的脊柱度量指标，该指标在正常与驼背样本间差异达7.2度，远超单关节法的0.9度。系统在生产环境中，通用接口中位响应时间0.023秒，足压分析耗时0.45秒，推荐模块处理时间为2.16至2.26秒，其中规则部分始终低于1秒。关键点识别在公开数据集上达到0.960 [email protected]，知识库包含699款鞋履与10,500条类型化事实。一项获批研究提供了验证所需的影像学参考。
原文摘要 · Abstract (English)
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 [email protected] 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.
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