基于压电传感器的自供电、柔软透气的人机界面

Zhipeng Jiang, Chi Zhang, Sun Hwa Kwon, Lin Dong
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摘要

可穿戴电子设备彻底改变了机器人或假肢控制的人机界面(hmi)。然而,挑战在于消除传统的刚性和不透气的电子元件,如电池,同时考虑到人机界面的舒适性和长时间的可用性。在此,基于压电传感器开发了一种自供电、柔性和透气的人机界面。该界面旨在准确监测身体和肌肉运动的细微变化,促进各种应用中机器人假肢手的有效沟通和控制。利用聚合物材料内的工程多孔结构,压电传感器显示出显着增强的灵敏度,灵活性和渗透性,突出其出色的HMI应用。此外,所开发的控制算法使单个传感器能够全面控制机械手。通过成功地将二头肌运动产生的压电信号转换为莫尔斯电码,该人机界面可作为一种高效的通信设备。此外,通过使用开发的HMI说明执行“喝一杯水”的日常任务来演示该过程,通过检测二头肌运动来控制人机交互机器人假手。这样的人机界面为自供电和舒适的仿生系统铺平了道路,对假肢的未来发展做出了重大贡献。
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Self-Powered, Soft and Breathable Human–Machine Interface Based on Piezoelectric Sensors

Wearable electronics revolutionize human–machine interfaces (HMIs) for robotic or prosthetic control. Yet, the challenge lies in eliminating conventional rigid and impermeable electronic components, such as batteries, while considering the comfort and usability of HMIs over prolonged periods. Herein, a self-powered, flexible, and breathable HMI is developed based on piezoelectric sensors. This interface is designed to accurately monitor subtle changes in body and muscle movements, facilitating effective communication and control of robotic prosthetic hands for various applications. Utilizing engineered porous structures within the polymeric material, the piezoelectric sensor demonstrates a significantly enhanced sensitivity, flexibility, and permeability, highlighting its outstanding HMI applications. Furthermore, the developed control algorithm enables a single sensor to comprehensively control robotic hands. By successfully translating piezoelectric signals generated from bicep muscle movements into Morse Code, this HMI serves as an efficient communication device. Additionally, the process is demonstrated by illustrating the execution of the daily task of “drinking a cup of water” using the developed HMI to enable the control of a human-interactive robotic prosthetic hand through the detection of bicep muscle movements. Such HMIs pave the way toward self-powered and comfortable biomimetic systems, making a significant contribution to the future evolution of prosthetics.

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Self-Powered, Soft and Breathable Human–Machine Interface Based on Piezoelectric Sensors (Adv. Sensor Res. 12/2024) Masthead (Adv. Sensor Res. 12/2024) Nanoflowers Templated CuO/Cu Hybrid Metasurface for Sensitive THz-TDS Detection of Acetylcholine (Adv. Sensor Res. 12/2024) Transforming Renal Diagnosis: Graphene-Enhanced Lab-On-a-Chip for Multiplexed Kidney Biomarker Detection in Capillary Blood (Adv. Sensor Res. 11/2024) Masthead (Adv. Sensor Res. 11/2024)
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