Optical Micro/Nano Fibers Enabled Smart Textiles for Human–Machine Interface

Shuqi Ma , Xiaoyu Wang , Pan Li , Ni Yao , Jianliang Xiao , Haitao Liu , Zhang Zhang , Longteng Yu , Guangming Tao , Xiong Li , Limin Tong , Lei Zhang

Advanced Fiber Materials ›› 2022, Vol. 4 ›› Issue (5) : 1108 -1117.

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Advanced Fiber Materials ›› 2022, Vol. 4 ›› Issue (5) : 1108 -1117. DOI: 10.1007/s42765-022-00163-6
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Optical Micro/Nano Fibers Enabled Smart Textiles for Human–Machine Interface

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Abstract

Wearable human–machine interface (HMI) is an advanced technology that has a wide range of applications from robotics to augmented/virtual reality (AR/VR). In this study, an optically driven wearable human-interactive smart textile is proposed by integrating a polydimethylsiloxane (PDMS) patch embedded with optical micro/nanofibers (MNF) array with a piece of textiles. Enabled by the highly sensitive pressure dependent bending loss of MNF, the smart textile shows high sensitivity (65.5 kPa−1) and fast response (25 ms) for touch sensing. Benefiting from the warp and weft structure of the textile, the optical smart textile can feel slight finger slip along the MNF. Furthermore, machine learning is utilized to classify the touch manners, achieving a recognition accuracy as high as 98.1%. As a proof-of-concept, a remote-control robotic hand and a smart interactive doll are demonstrated based on the optical smart textile. This optical smart textile represents an ideal HMI for AR/VR and robotics applications.

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Shuqi Ma, Xiaoyu Wang, Pan Li, Ni Yao, Jianliang Xiao, Haitao Liu, Zhang Zhang, Longteng Yu, Guangming Tao, Xiong Li, Limin Tong, Lei Zhang. Optical Micro/Nano Fibers Enabled Smart Textiles for Human–Machine Interface. Advanced Fiber Materials, 2022, 4(5): 1108-1117 DOI:10.1007/s42765-022-00163-6

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Funding

National Natural Science Foundation of China(61975173)

Major Scientific Research Project of Zhejiang Lab(2019MC0AD01)

Key Research and Development Project of Zhejiang Province(2021C05003)

CIE-Tencent Robotics X Rhino-Bird Focused Research Program(2020-01-006)

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