外骨骼
机器人
步态
可穿戴计算机
计算机科学
模拟
工程类
灵活性(工程)
压力传感器
人工智能
计算机视觉
嵌入式系统
物理医学与康复
统计
机械工程
医学
数学
作者
Maowen Sun,Songya Cui,Z. Wang,Huayu Luo,Huayong Yang,Ouyang Xiaoping,Kaichen Xu
标识
DOI:10.1038/s41378-024-00680-x
摘要
As a reinforcement technology that improves load-bearing ability and prevents injuries, assisted exoskeleton robots have extensive applications in freight transport and health care. The perception of gait information by such robots is vital for their control. This information is the basis for motion planning in assistive and collaborative functions. Here, a wearable gait recognition sensor system for exoskeleton robots is presented. Pressure sensor arrays based on laser-induced graphene are developed with flexibility and reliability. Multiple sensor units are integrated into an insole to detect real-time pressure at key plantar positions. In addition, the circuit hardware and the algorithm are designed to reinforce the sensor system with the capability of gait recognition. The experimental results show that the accuracy of gait recognition by the proposed system is 99.85%, and the effectiveness of the system is further verified through testing on an exoskeleton robot.
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