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Novel Weft-Knitted Strain Sensors for Motion Capture
Susanne Fischer1,2, Bahareh Abtahi1,2, Mareen Warncke1,2
1Institute for Textile Machinery and High Performance Material Technology (ITM), Faculty for Mechanical Science and Engineering, Technische Universität Dresden, 01062 Dresden, Germany.
Micromachines
|February 24, 2024
Summary
This study introduces novel weft-knitted strain sensors for functional electrical stimulation (FES) systems. These textile sensors offer discreet integration into garments, improving gait for individuals with central nervous system disorders.
Area of Science:
- Biomedical Engineering
- Textile Science
- Rehabilitation Technology
Background:
- Functional electrical stimulation (FES) aids individuals with central nervous system disorders, like multiple sclerosis, by improving gait.
- Accurate knee angle detection is crucial for timely dorsiflexion triggering in FES systems.
- Conventional motion capture sensors can be obtrusive for daily wear.
Purpose of the Study:
- To present weft-knitted strain sensors as a discreet, integrated alternative to conventional motion capture sensors for FES.
- To investigate the design variations of weft-knitted strain sensors and their impact on measurement behavior.
- To enable the development of functional, inconspicuous FES leggings for daily use.
Main Methods:
- Development and fabrication of weft-knitted strain sensors using textile-based materials.
- Integration of sensors into textile structures, exploring different integration directions (wale-wise, course-wise) and sensor widths.
- Evaluation of the measurement behavior of various weft-knitted strain sensor designs.
Main Results:
- Demonstrated the feasibility of using weft-knitted strain sensors for knee angle detection in FES applications.
- Identified design parameters (integration direction, sensor width) influencing the sensor's measurement performance.
- Showcased the potential for discreet integration into functional garments like leggings.
Conclusions:
- Weft-knitted strain sensors offer a promising, discreet solution for motion capture in FES systems.
- Textile-based sensors can be seamlessly integrated into clothing, enhancing user comfort and compliance.
- This technology can significantly improve the quality of life for individuals with gait impairments due to neurological conditions.
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