People | Locations | Statistics |
---|---|---|
Naji, M. |
| |
Motta, Antonella |
| |
Aletan, Dirar |
| |
Mohamed, Tarek |
| |
Ertürk, Emre |
| |
Taccardi, Nicola |
| |
Kononenko, Denys |
| |
Petrov, R. H. | Madrid |
|
Alshaaer, Mazen | Brussels |
|
Bih, L. |
| |
Casati, R. |
| |
Muller, Hermance |
| |
Kočí, Jan | Prague |
|
Šuljagić, Marija |
| |
Kalteremidou, Kalliopi-Artemi | Brussels |
|
Azam, Siraj |
| |
Ospanova, Alyiya |
| |
Blanpain, Bart |
| |
Ali, M. A. |
| |
Popa, V. |
| |
Rančić, M. |
| |
Ollier, Nadège |
| |
Azevedo, Nuno Monteiro |
| |
Landes, Michael |
| |
Rignanese, Gian-Marco |
|
Mersch, Johannes
Johannes Kepler University of Linz
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (9/9 displayed)
- 2024Thermoelectric Generator Modules based on Warp Knitted Glass Fiber-Metal Hybrid Composites
- 2023Weft-knitted active joints for smart composite applications
- 2023DEVELOPMENT OF A YARN GUIDING AND IMPREGNATION TECHNOLOGY FOR ROBOT-ASISSTED FIBER MANUFACTURING OF 3D TEXTILE REINFORCEMENT STRUCTURES
- 2023Robot-assisted Manufacturing Technology for 3D Non-metallic Reinforcement Structures in the Construction Applicationscitations
- 2023Advancing Smart Textiles: Structural Evolution of Knitted Piezoresistive Strain Sensors for Enabling Precise Motion Capturecitations
- 2022Integrated Temperature and Position Sensors in a Shape-Memory Driven Soft Actuator for Closed-Loop Controlcitations
- 2022Melt Spinning of Elastic and Electrically Conductive Filament Yarns and their Usage as Strain Sensorscitations
- 2021High-speed, helical and self-coiled dielectric polymer actuatorcitations
- 2021Non-monotonic sensor behavior of carbon particle-filled textile strain sensorscitations
Places of action
Organizations | Location | People |
---|
article
Advancing Smart Textiles: Structural Evolution of Knitted Piezoresistive Strain Sensors for Enabling Precise Motion Capture
Abstract
<p>Recently, there has been remarkable progress in the development of smart textiles, especially knitted strain sensors, to achieve reliable sensor signals. Stable and reliable electro-mechanical properties of sensors are essential for using textile-based sensors in medical applications. However, the challenges associated with significant hysteresis and low gauge factor (GF) values remain for using strain sensors for motion capture. To evaluate these issues, a comprehensive investigation of the cyclic electro-mechanical properties of weft-knitted strain sensors was conducted in the present study to develop a drift-free elastic strain sensor with a robust sensor signal for motion capture for medical devices. Several variables are considered in the study, including the variation of the basic knit pattern, the incorporation of the electrically conductive yarn, and the size of the strain sensor. The effectiveness and feasibility of the developed knitted strain sensors are demonstrated through an experimental evaluation, by determining the gauge factor, its nonlinearity, hysteresis, and drift. The developed knitted piezoresistive strain sensors have a GF of 2.4, a calculated drift of 50%, 12.5% hysteresis, and 0.3% nonlinearity in parts.</p>