4.7 Article

Smart- textile strain sensor for human joint monitoring

Journal

SENSORS AND ACTUATORS A-PHYSICAL
Volume 341, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.sna.2022.113587

Keywords

Strain Sensor; Joint; angle analysis; Smart-textiles; Health monitoring; Wearable sensor

Funding

  1. COMET Project Textile Competence Center Vorarlberg 2 -TCCV2
  2. Austrian Research Promotion Agency (FFG)

Ask authors/readers for more resources

With the development of wearable electronics, traditional textiles have been transformed into precise strain sensors with high accuracy and broad spectrum sensitivity, which has become a research focus in human motion monitoring. A low-cost conductive graphite-polyurethane nanocomposite paste was developed and applied to a modified textile to create a highly efficient strain sensor. This sensor has high mechanical stability and can accurately monitor the movement and angle of fingers, wrists, and elbows.
With the revolutionary advancement of wearable electronics for human motion monitoring, it has become a keen interest for researchers to turn traditional textiles into precise strain sensors with high accuracy levels and broadspectrum sensitivity. Therefore, it is considered an active measurement that avoids the misuse of a sensing system. Since these platforms become more ubiquitous, they began to enter the industrial scales such as the fitness and health sector. To do so, stability, user-friendly, cost-effective, and minimum step fabrication processes are imperative in practice. Targeting those goals, a highly efficient textile strain sensor from a crochet knitted elastic (CKE) band was prepared and integrated into a wearable human motion monitoring device systematically. A low-cost customized conductive graphite-polyurethane nanocomposite (G-PU) paste has been developed and applied to the modify CKE band through a dip-coating technique. Finally, an appropriate shape was designed for the estimation of movement and angle measurement of finger, wrist, and elbow belonging a gentle gauge factor (GF=26.8) with high mechanical stability (1000 cycles). The strain sensor was capable to distinguish finger, wrist, and elbow joint angle following the change of resistance dynamically, enabling such potential to be integrated further into a human-machine interface for real-time monitoring.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available