TEXEDGE
Image credits:
- 1: FH OÖ | Samuel Zühlke
TEXtile EDGE Sensing: AI Optimization of Edge-based Textile Sensors
This research project aims to improve the usability of edge-based, textile sensors and to efficiently integrate them into textile interface designs. Using machine learning and incorporating real user data, an optimized sensor layout is created, exhibiting high sensitivity in crucial interaction areas and low sensitivity in less frequently used areas. The haptic and visual properties of the textile interface are always preserved. The initial application is intended to be a textile music player. The insights, tools, and algorithms obtained in this context can be universally applied and provide designers with the potential to develop optimized textile interfaces and necessary sensor technology and make precise predictions about their quality. The goal of the project is to enable textile designs that are tailored to the user, and that are cost-effective as well as material-conserving. These designs will demonstrate how user-centric, efficient, and sustainable textile interfaces can be achieved by integrating edge-based textile sensors through innovative approaches.
Team
- Andreas Stöckl
- David Schedl
- Kathrin Probst
- Samuel Zühlke