版权所有:内蒙古大学图书馆 技术提供:维普资讯• 智图
内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:North China Univ Technol Sch Mech & Mat Engn Beijing 100144 Peoples R China Beihang Univ Sch Mech Engn & Automat Beijing 100191 Peoples R China Peng Cheng Lab Shenzhen 518055 Peoples R China
出 版 物:《IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT》 (IEEE Trans. Instrum. Meas.)
年 卷 期:2025年第74卷
核心收录:
学科分类:0808[工学-电气工程] 08[工学] 0804[工学-仪器科学与技术]
基 金:National Natural Science Foundation of China [52205001, 52105025] Major Key Projects of Peng Cheng Laboratory (PCL) [PCL2023A07, PCL2023A10]
主 题:Sensors Microchannels Bending Training Resistance Liquids Deformation Data mining Artificial intelligence Sensitivity Human-machine interface real-time feedback ultra-soft curvature sensor wearable device
摘 要:The integration of ultra-soft curvature sensors into textile data gloves is essential to enhance user experience with greater flexibility and adaptability, particularly in various human-machine interface scenarios, including rehabilitation tasks. Current options for such sensors are limited, often relying on strain variance measurements that can introduce significant errors due to stretching interference. Here, the proposed ultra-soft curvature sensor, composed of a soft elastomer and conductive liquid, directly measures curvature with minimal stretching interference, ensuring high performance and reliability. The sensor s microchannel design with embedded nylon ropes and utilizable storage regions provides a wide detection range (0 degrees-180 degrees), low hysteresis (2.46%), and high stability (loading: 3.28%, unloading: 4.29%). This study also presents a data glove integrating flexible curvature sensors and an embedded light-trigger system, aimed at optimizing the human-machine interaction experience through active signal feedback. The design, incorporating real-time feedback mechanisms, is expected to promote physical recovery and a psychological sense of belonging among patients, thereby advancing their autonomy and confidence.