高技术通讯2026，Vol.36Issue(7)：759-766,8.DOI:10.3772/j.issn.1002-0470.2026.07.010
一种基于足底压力的踝关节角度估计方法
Ankle angle estimation based on a distributed plantar pressure sensing system
摘要
Abstract
To solve the existing problems in joint angle estimation methods during walking states,this paper proposes a method for estimating the ankle joint angle based on plantar pressure.Firstly,a distributed plantar pressure acqui-sition system is developed in this paper,which can collect real-time distributed plantar pressure data from eight points on both human feet.Subsequently,this paper conducts synchronized experiments for plantar pressure and joint angle collection using a motion capture system and the plantar pressure acquisition system,and constructs a plantar pressure-joint angle dataset.Based on this dataset,the paper preprocesses the input plantar pressure using the polynomial feature method,and then uses the ridge regression algorithm in machine learning for fitting to solve the coefficient matrix,constructing a mapping model between plantar pressure data and joint angle data.The model demonstrates a root mean square error of 4.04 °on the test set,indicating that this method can be a good ankle joint angle estimation model.关键词
踝关节角度/足底压力/多项式特征/岭回归Key words
ankle joint angle/plantar pressure/polynomial features/ridge regression引用本文复制引用
吕博文,蔡世波,都明宇,张科文,李刚..一种基于足底压力的踝关节角度估计方法[J].高技术通讯,2026,36(7):759-766,8.基金项目
国家重点研发计划(2022YFC3601702)资助项目. （2022YFC3601702）
