用于假肢感知温度与压力的电子皮肤
Electronic skin for prosthetics to sense temperature and pressure

原始链接: https://news.wsu.edu/press-release/2026/08/20/researchers-develop-electronic-skin-for-prosthetics-to-sense-temperature-and-pressure/

华盛顿州立大学的研究人员开发出一种高分辨率、可定制的“电子皮肤”,旨在恢复假肢的触觉。与目前市场上昂贵、坚硬且分辨率有限的传感器不同,这种新型系统能同时检测压力和温度,且精度提高了十倍,模拟了人类皮肤的功能。 研究团队采用“扫描-建模-打印”的制造方法,允许通过 3D 打印技术将传感器制造成适配任何假肢的特定自由曲面形状。这些模块设计成像积木一样拼接,确保了贴合感,无需使用粘合剂。这种方法克服了机械可靠性、舒适度和传感性能之间传统存在的权衡问题。 该技术为未来的仿生肢体奠定了重要基础。研究人员目前正在开发执行器,将这些传感信号转化为触觉反馈,使截肢者能够“感受”到所触碰物体的质地和温度。通过简化生产流程并降低成本,研究团队旨在促进该技术在临床上的广泛应用,最终改善截肢者的日常生活和肢体灵活性。

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原文

PULLMAN, Wash. – An electronic skin with a sensing system that can detect pressure and temperature could someday be used to help amputees gain feeling in their prosthetics.

The work led by Washington State University researchers and published in the journal Cell Reports Physical Science, can sense at ten times a finer scale than current commercial glove sensors.

“This approach democratizes the production of medical-grade e-skins, making advanced tactile feedback viable for widespread clinical adoption,” said Hongyi Shen, graduate student in the School of Mechanical and Materials Engineering and first author on the paper. “This work lays a crucial foundation for a full bionic skin with both sensing and haptic stimulation functions on prosthetics.”

Haptic stimulation replicates the sense of touch. Providing even partial sensation for amputees could greatly improve their ability to perform tasks. While there are electronic skins available now, they are expensive and have low sensing resolution. They also often don’t fit people well and only cover small regions. In fact, the more that e-skins are made to a custom shape, the worse they perform in sensing ability. Furthermore, the large amount of data generated from the sensing arrays mean that they don’t work well in real-time.

“Often these devices are forced to compromise between comfort and mechanical reliability,” said Shen.

The WSU researchers developed a customizable sensing system for prosthetics that conforms to the freeform shape of limbs and better mimics real human skin in its sensing abilities. The sensor modules they created are thin-layered sandwiches that incorporate temperature and pressure sensors. The elements allow human-like tactile sensing, enabling reliable identification of surface texture and material properties.

The researchers used a “scan-model-print” manufacturing method that allows for high-density sensing at the same time as the personalized, 3D fabrication.

“The scanner basically scans the prosthetic and then, based on the geometry, we map our sensors as a multimodal sensing system with that geometry,” said Kaiyan Qiu, Berry Family Assistant Professor in the School of Mechanical and Materials Engineering and corresponding author on the paper. “This enables our sensing system to have seamless coverage over the freeform region on the prosthetics.”

The sensors are accurate and reliable and can measure both pressure and temperature at a high density across a flat or curved surface. Rather than requiring adhesives, modules of sensors snap together like Legos.

“Our main manufacturing method using 3D printing and laser cutting is relatively simple, so it could be relatively low cost and convenient,” said Qiu.

The project was partially supported by WSU’s National Science Foundation Research Traineeship in Next-Generation Robotics (NRT-LEAD), led by Prashanta Dutta, Richard Schneider Jr. Professor and director in the School of Mechanical and Materials Engineering. Dutta is also a corresponding author on the paper. Additional support was provided by Qiu’s WSU startup and Cougar Cage funds.

The researchers have submitted an invention disclosure for a provisional patent with the WSU Office of Research Innovation and Entrepreneurship team. They are also working on an actuator that will eventually convert the sensing signals of the e-skin to let an amputee know what they’re touching. That would entail converting the sensing signals to stimulation and signaling of nearby nerves.

Shen, who is an NRT-LEAD trainee, said he has had a longtime interest in helping people in rehabilitation settings and has a background in sensor work and 3D printing.

“By doing this, I combined my interests,” he said. “I think what we are doing in this project is really someday going to help amputees make their life easier with our device.”

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