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doi:10.22028/D291-43321
Titel: | Gesture and force sensing based on dielectric elastomers for intelligent gloves in the digital production |
VerfasserIn: | Gratz-Kelly, Sebastian Philippi, Daniel Fasolt, Bettina Nalbach, Sophie Motzki, Paul |
Sprache: | Englisch |
Titel: | Technisches Messen : tm |
Bandnummer: | 91 |
Heft: | 3-4 |
Seiten: | 195-207 |
Verlag/Plattform: | De Gruyter |
Erscheinungsjahr: | 2024 |
DDC-Sachgruppe: | 620 Ingenieurwissenschaften und Maschinenbau |
Dokumenttyp: | Journalartikel / Zeitschriftenartikel |
Abstract: | Due to recent progress in human-machine interaction the development of interfaces ensuring a safe collaboration between handling devices and workers is gaining in importance and impact to the industry field. For an adequate operation, combined sensing and actuation capabilities are sufficient for interaction units. Smart materials like dielectric elastomers (DEs) are predestinated for integrated multi-functional applications. DEs are lightweight, high energy density and highly stretchable transducers suitable for many different operation areas, like movement tracking, force sensing, haptic feedback and sound generation and can be used to develop highly integrated textile-based user interfaces. This paper shows first results on the development of a novel intelligent glove prototype based on DE elements. The main focus of this investigation lies on DE-based integrated joint angle and force measurement units as well on a cost-efficient and slim sensing electronic. By embedding the resulting system in an Industry 4.0 environment, an adaptive assistance tool can be developed. The resulting system can be used to monitor the desired motion of a worker and to respond with a corresponding haptic feedback, which depends on the specific interaction task. This makes the resulting system a novel, portable assistant tool for industrial environments. |
DOI der Erstveröffentlichung: | 10.1515/teme-2024-0003 |
URL der Erstveröffentlichung: | https://www.degruyter.com/document/doi/10.1515/teme-2024-0003/html |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-433212 hdl:20.500.11880/38854 http://dx.doi.org/10.22028/D291-43321 |
ISSN: | 2196-7113 0171-8096 |
Datum des Eintrags: | 30-Okt-2024 |
Fakultät: | NT - Naturwissenschaftlich- Technische Fakultät |
Fachrichtung: | NT - Systems Engineering |
Professur: | NT - Keiner Professur zugeordnet |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
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10.1515_teme-2024-0003.pdf | 4,47 MB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons