可穿戴计算机
步态
灵活性(工程)
步态分析
计算机科学
杠杆(统计)
人机交互
模拟
物理医学与康复
工程类
人工智能
医学
嵌入式系统
数学
统计
作者
Lei Shi,Junping Feng,Yuting Zhu,Fei Huang,Kean C. Aw
标识
DOI:10.1016/j.sna.2024.115730
摘要
This review examines the growing field of flexible and stretchable strain sensors utilized in human walking gait analysis, focusing on determining knee bending angle and muscle activities when a human subject walks. Recent advancements have enabled these sensors to accurately capture biomechanical parameters while accommodating the body's natural movements. We examine the principles underlying these sensors' design and fabrication techniques, emphasizing their flexibility, stretchability, and biocompatibility for seamless integration into wearable systems, suitable for capturing the movement of the lower limb aimed at walking gait analysis. Through critical evaluation of existing methodologies, we assess the reliability and validity of these sensors in quantifying gait parameters. Furthermore, we discuss this technology's clinical and research implications, highlighting its potential in personalized rehabilitation and sports performance optimization. We provide an overview of flexible strain sensors and their application for analyzing human walking gait, especially for observing walking gait in rehabilitation programs. First, we present the basic working principles of various flexible strain sensors. Second, by the application of flexible strain sensors as walking gait monitoring. Finally, current challenges and future opportunities in this research area are discussed. By synthesizing current knowledge and outlining future directions, this review aims to provide insights for researchers and practitioners seeking to leverage flexible and stretchable strain sensors for comprehensive human gait analysis.
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