外骨骼
可穿戴计算机
计算机科学
机器人
惯性测量装置
康复
动力外骨骼
模拟
人工智能
嵌入式系统
医学
物理疗法
作者
Qian Wang,Seyram Ofori,Q.q. Liu,Haoyong Yu,Shuo Ding,Haitao Yang
标识
DOI:10.1007/978-981-99-6489-5_47
摘要
Accurate human motion tracking by wearable sensors is critical for wearable robots in rehabilitation, but existing sensing technologies have several limitations, such as unaffordability, poor stability, and reliability concerns. Through the sensor morphology design, this research focuses on the development of robust soft strain sensors using crumpled single-walled carbon nanotubes (SWCNTs). Compared to planar sensors, crumpled SWCNTs sensors exhibit wide working strain ranges, robust cycling performance, and superior mechanical stability. These sensors were integrated into a rehabilitation exoskeleton and successfully monitored elbow deformation and muscle activity by sensitive, stable, and reliable signals, indicating great potential in replacing EMG and inertial sensors to provide accurate and immediate feedback for optimized operations in rehabilitation tasks. This technology provides a cost-effective, wearable, and privacy-friendly solution for motion monitoring in rehabilitation robots, improving the effectiveness and convenience of rehabilitation treatment for people with physical disabilities.
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