3 results match your criteria: "ZeMA-Center for Mechatronics and Automation Technology[Affiliation]"
Materials (Basel)
December 2024
Smart Material Systems, ZeMA-Center for Mechatronics and Automation Technology, 66121 Saarbruecken, Germany.
The integration of textile-based sensing and actuation elements has become increasingly important across various fields, driven by the growing demand for smart textiles in healthcare, sports, and wearable electronics. This paper presents the development of a small, smart dielectric elastomer (DE)-based sensing array designed for user control input in applications such as human-machine interaction, virtual object manipulation, and robotics. DE-based sensors are ideal for textile integration due to their flexibility, lightweight nature, and ability to seamlessly conform to surfaces without compromising comfort.
View Article and Find Full Text PDFActa Biomater
July 2022
Department of Trauma, Hand and Reconstructive Surgery, Clinics and Institutes of Surgery, Saarland University, Homburg, Germany.
Nonunion is a complication of long bone fractures that leads to disability, morbidity and high costs. Early detection is difficult and treatment through external stimulation and revision surgery is often a lengthy process. Therefore, alternative diagnostic and therapeutic options are currently being explored, including the use of external and internal sensors.
View Article and Find Full Text PDFSensors (Basel)
January 2022
Lab for Measurement Technology, Saarland University, 66123 Saarbrücken, Germany.
Data-driven analysis for damage assessment has a large potential in structural health monitoring (SHM) systems, where sensors are permanently attached to the structure, enabling continuous and frequent measurements. In this contribution, we propose a machine learning (ML) approach for automated damage detection, based on an ML toolbox for industrial condition monitoring. The toolbox combines multiple complementary algorithms for feature extraction and selection and automatically chooses the best combination of methods for the dataset at hand.
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