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DIGITALIZED THERAPEUTIC FOOTWEAR WITH ADAPTIVE SAMPLING, EDGE AI, FEDERATED LEARNING AND ENERGY HARVESTING

发明专利审中
10权利要求 · 1 独立
§ Ⅰ

卷宗概要

发明人

KARAN JOGESH BHASIN

IPC 分类

A43B 3/44A43B 3/40A61B 5/A61B 5/205A61B 5/103G16H 40/67H4W 12/2

CPC 分类

A43B3/44A43B3/40A61B5/2055A61B5/1038A61B5/486A61B5/6807A61B5/7267A61B5/7275A61B5/7455G16H40/67H4W12/2A61B2560/214

The invention discloses a therapeutic footwear system comprising a footwear body () with insole (), midsole (), and outsole (), integrated with a multi-modal sensor array () including a plantar pressure matrix (), inertial measurement unit (), photoplethysmography sensor () and temperature sensor (). An embedded processor () houses an adaptive sampling module (), an edge-AI inference engine (), a federated learning client (), and memory () for local analysis. A feedback interface () with zonal haptic actuators () under medial forefoot (), lateral forefoot (), medial heel, and lateral heel () delivers corrective prompts. A power subsystem () comprising a battery management circuit (), energy harvesting elements (), and battery () sustains operation. The integration reduces latency, conserves energy, preserves privacy, and enables closed-loop therapeutic intervention during ambulation.

原文(中文)

The invention discloses a therapeutic footwear system comprising a footwear body () with insole (), midsole (), and outsole (), integrated with a multi-modal sensor array () including a plantar pressure matrix (), inertial measurement unit (), photoplethysmography sensor () and temperature sensor (). An embedded processor () houses an adaptive sampling module (), an edge-AI inference engine (), a federated learning client (), and memory () for local analysis. A feedback interface () with zonal haptic actuators () under medial forefoot (), lateral forefoot (), medial heel, and lateral heel () delivers corrective prompts. A power subsystem () comprising a battery management circuit (), energy harvesting elements (), and battery () sustains operation. The integration reduces latency, conserves energy, preserves privacy, and enables closed-loop therapeutic intervention during ambulation.