Injection-on-Skin Granular Adhesive for Interactive Human-Machine Interface
© 2023 Wiley-VCH GmbH.
Veröffentlicht in: | Advanced materials (Deerfield Beach, Fla.). - 1998. - 35(2023), 48 vom: 11. Nov., Seite e2307070 |
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1. Verfasser: | |
Weitere Verfasser: | , , , , , |
Format: | Online-Aufsatz |
Sprache: | English |
Veröffentlicht: |
2023
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Zugriff auf das übergeordnete Werk: | Advanced materials (Deerfield Beach, Fla.) |
Schlagworte: | Journal Article granular adhesives human-machine interface ionic conductivity on-tissue printing strain sensor Adhesives Hydrogels Ions Catecholamines |
Zusammenfassung: | © 2023 Wiley-VCH GmbH. Realization of interactive human-machine interfaces (iHMI) is improved with development of soft tissue-like strain sensors beyond hard robotic exosuits, potentially allowing cognitive behavior therapy and physical rehabilitation for patients with brain disorders. Here, this study reports on a strain-sensitive granular adhesive inspired by the core-shell architectures of natural basil seeds for iHMI as well as human-metaverse interfacing. The granular adhesive sensor consists of easily fragmented hydropellets as a core and tissue-adhesive catecholamine layers as a shell, satisfying great on-skin injectability, ionic-electrical conductivity, and sensitive resistance changes through reversible yet robust cohesion among the hydropellets. Particularly, it is found that the ionic-electrical self-doping of the catecholamine shell on hydrosurfaces leads to a compact ion density of the materials. Based on these physical and electrical properties of the sensor, it is demonstrated that successful iHMI integration with a robot arm in both real and virtual environments enables robotic control by finger gesture and haptic feedback. This study expresses benefits of using granular hydrogel-based strain sensors for implementing on-skin writable bioelectronics and their bridging into the metaverse world |
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Beschreibung: | Date Completed 29.11.2023 Date Revised 29.11.2023 published: Print-Electronic Citation Status MEDLINE |
ISSN: | 1521-4095 |
DOI: | 10.1002/adma.202307070 |