一种基于多信息图像的足部压力检测算法
By using a foot pressure detection algorithm based on multi-information images, and leveraging cameras and multimodal models for non-contact foot pressure prediction, this method solves the problems of high cost and complex operation of traditional equipment, achieving high-precision pixel-level pressure distribution detection, and is applicable to fields such as medical and sports science.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- FUDAN UNIVERSITY
- Filing Date
- 2023-08-14
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional foot pressure detection devices are expensive, complex to operate, and difficult to install. They are also difficult to expand into various scenarios, have poor comfort, and cannot provide pixel-level pressure distribution information.
A foot pressure detection algorithm based on multi-information images is adopted. Multi-angle RGB images are acquired by a camera, and combined with a segmentation network and a multimodal pre-trained model. Through cross-attention mechanism and feature pyramid decoder, non-contact foot pressure prediction is achieved.
It achieves low-cost, easy-to-use, and high-precision foot pressure distribution detection, providing pixel-level pressure information, avoiding the discomfort and interference of traditional devices, and is suitable for medical, sports science, and sports fields.
Smart Images
Figure CN117017268B_ABST