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Soft Micropneumatic Touchpad

Research output: Contribution to journal › Article › Scientific › peer-review

4 Citations (Scopus)
61 Downloads (Pure)

Abstract

Soft tactile sensors outputting fluidic signals have many potential applications in soft microfluidic devices and soft robots. However, existing systems have been limited to a single or a few sensors in parallel, so they are not comparable to the state-of-the-art electrical resistive and capacitive touchpads, which can detect rich tactile information, including touch location, pressure, area, and even multiple touches simultaneously. This work reports a soft micropneumatic touchpad. The touchpad consists of 32 pneumatic channels inside soft elastomer, with 16 channels aligned row-wise and 16 column-wise. The flow resistance of each channel is measured using a pressure divider. When the pad is touched, the cross-sectional area of the channels close to the contact location deforms, which changes the flow resistance of those channels. With 32 sensing channels, the location, depth, area of the contact, and even two simultaneous touches can be detected. Letters hand-written on the touchpad can be reconstructed from the measured data. With the assumption of sparsity, a tactile pressure map, with a value at each 16 × 16 grid point, can also be reconstructed. This work opens a path to replace electronic tactile sensors in soft devices with all-fluidic alternatives.

Original languageEnglish
Article number2400381
JournalAdvanced Intelligent Systems
Volume7
Issue number2
Early online date23 Sept 2024
DOIs
Publication statusPublished - 2025
Publication typeA1 Journal article-refereed

Funding

The work was supported by the Research Council of Finland (grant #343408); the Doctoral Programme in Medicine, Biosciences and Biomedical Engineering of Tampere University; Brunel University; the Emil Aaltonen Foundation (grant #220095 N1V); and Nokia Foundation (grant #20230100).

FundersFunder number
Brunel University
Tampere University
Strategic Research Council at the Research Council of Finland343408
Emil Aaltosen Säätiö220095 N1V
Nokia Foundation20230100

    Keywords

    • microfluidics
    • pneumatics
    • sensor array
    • soft sensors
    • soft touchpad

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Vision and Pattern Recognition
    • Human-Computer Interaction
    • Mechanical Engineering
    • Control and Systems Engineering
    • Electrical and Electronic Engineering
    • Materials Science (miscellaneous)

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