Duan Shengshun, Lin Yucheng, Wang Zhehan, Tang Junyi, Li Yinhui, Zhu Di, Wu Jun, Tao Li, Choi Chang-Hwan, Sun Litao, Xia Jun, Wei Lei, Wang Baoping
Joint International Research Laboratory of Information Display and Visualization, School of Electronic Science and Engineering, Southeast University, Nanjing 210096, China.
School of Materials Science and Engineering, Southeast University, Nanjing 211189, China.
Research (Wash D C). 2021 Jun 9;2021:9861467. doi: 10.34133/2021/9861467. eCollection 2021.
Reliable, wide range, and highly sensitive joint movement monitoring is essential for training activities, human behavior analysis, and human-machine interfaces. Yet, most current motion sensors work on the nano/microcracks induced by the tensile deformation on the convex surface of joints during joint movements, which cannot satisfy requirements of ultrawide detectable angle range, high angle sensitivity, conformability, and consistence under cyclic movements. In nature, scorpions sense small vibrations by allowing for compression strain conversion from external mechanical vibrations through crack-shaped slit sensilla. Here, we demonstrated that ultraconformal sensors based on controlled slit structures, inspired by the geometry of a scorpion's slit sensilla, exhibit high sensitivity (0.45%deg), ultralow angle detection threshold (~15°), fast response/relaxation times (115/72 ms), wide range (15° ~120°), and durability (over 1000 cycles). Also, a user-friendly, hybrid sign language system has been developed to realize Chinese and American sign language recognition and feedback through video and speech broadcasts, making these conformal motion sensors promising candidates for joint movement monitoring in wearable electronics and robotics technology.
可靠、宽范围且高灵敏度的关节运动监测对于训练活动、人类行为分析和人机接口至关重要。然而，目前大多数运动传感器是基于关节运动期间关节凸表面上拉伸变形引起的纳米/微裂纹工作的，这无法满足超宽可检测角度范围、高角度灵敏度、贴合性以及循环运动下的一致性要求。在自然界中，蝎子通过裂纹状狭缝感器将外部机械振动的压缩应变转换来感知微小振动。在此，我们证明，受蝎子狭缝感器几何形状启发、基于可控狭缝结构的超贴合传感器具有高灵敏度（0.45%/度）、超低角度检测阈值（约15°）、快速响应/弛豫时间（115/72毫秒）、宽范围（15°~120°）和耐用性（超过1000次循环）。此外，还开发了一种用户友好的混合手语系统，通过视频和语音广播实现中美手语识别与反馈，使这些贴合式运动传感器成为可穿戴电子设备和机器人技术中关节运动监测的有前途的候选者。
