Abstract
The study and replication of human sensory abilities, such as visual, auditory, and tactile perception, depends on the availability of integrating electronics into flexible materials. Much previous research on pressure sensing films has a lack of flexibilities in its products and cannot be well applied to wearable device. In this letter, we first prepare Graphene-VSe <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> -Ecoflex sponge, and then fabricate highly compressible Graphene-VSe <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> -Ecoflex pressure sensors using this sponge, and finally construct an innovative glove with this highly compressible pressure sensor array. The Graphene-VSe <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> -Ecoflex pressure sensor sustains high strain up to 85%. The sensor retains a good linearity performance under the cycling test. Moreover, the glove can identify and manipulate subjects at an over 89% recognition rate after trained by neural networks. The realization of the smart object identification glove may provide a new strategy for applying flexible devices to intelligent sensing systems.
Published Version
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