WANG Lan~1, ZHANG Jin-yu~1, WANG Jin-song~. Study on gait phase measuring system[J]. 2006, (5): 42-44. DOI: 10.13873/j.1000-97872006.05.014.
人体步态相位检测实验研究
摘要
人体步态分析系统对于两足机器人、康复训练机器人、人工假肢等技术的发展具有重要意义
在线的步态相位识别检测系统更为重要。基于dSPACE构建了人体步态相位检测系统
传感器采用鞋底传感器和1个光纤传感器
鞋底传感器由4只电阻式力传感器、1只位置传感器构成
用光纤传感器测量腿部的弯曲。它可以识别步行周期的5个重要状态和4个不规则状态。系统的可靠性好
能够自动识别第一个步态相位
并具有自校正功能。
Abstract
Gait analysis plays an important role in biped robot
rehabilitation and artificial limb
and a gait phase online identification is of great significance.Based on dSPACE
a gait phase measuring system with a sole sensor and a fibre sensor is constructed.The sole sensor is imposed of 4 pieces of force sensitive resistors and a position sensor.The fibre sensor is used for measuring the bend of the legs.The five normal gait phases and four irregularity gaits can be identified.The reliability of the system is attainable.The first gait phase is also identifiable and it can self-revised.