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ACS Appl Mater Interfaces ; 14(19): 22666-22677, 2022 May 18.
Article in English | MEDLINE | ID: mdl-35533008

ABSTRACT

Wearable integrated sensing devices with flexible electronic elements exhibit enormous potential in human-machine interfaces (HMI), but they have limitations such as complex structures, poor waterproofness, and electromagnetic interference. Herein, inspired by the profile of Lindernia nummularifolia (LN), a bionic stretchable optical strain (BSOS) sensor composed of an LN-shaped optical fiber incorporated with a stretchable substrate is developed for intelligent HMI. Such a sensor enables large strain and bending angle measurements with temperature self-compensation by the intensity difference of two fiber Bragg gratings' (FBGs') center wavelength. Such configurations enable an excellent tensile strain range of up to 80%, moreover, leading to ultrasensitivity, durability (≥20,000 cycles), and waterproofness. The sensor is also capable of measuring different human activities and achieving HMI control, including immersive virtual reality, robot remote interactive control, and personal hands-free communication. Combined with the machine learning technique, gesture classification can be achieved using muscle activity signals captured from the BSOS sensor, which can be employed to obtain the motion intention of the prosthetic. These merits effectively indicate its potential as a solution for medical care HMI and show promise in smart medical and rehabilitation medicine.


Subject(s)
Biosensing Techniques , Brain-Computer Interfaces , Wearable Electronic Devices , Bionics , Biosensing Techniques/classification , Biosensing Techniques/methods , Brain-Computer Interfaces/standards , Electronics , Humans , Lamiales/chemistry , Motion , Optical Fibers/classification , Optical Fibers/standards , Virtual Reality
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