Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Advancing Smart Textiles: Structural Evolution of Knitted pi-ezoresistive Strain Sensors for Enabling Precise Motion Capture

Version 1 : Received: 9 August 2023 / Approved: 10 August 2023 / Online: 10 August 2023 (05:46:24 CEST)

A peer-reviewed article of this Preprint also exists.

Warncke, M.N.; Böhmer, C.H.; Sachse, C.; Fischer, S.; Häntzsche, E.; Nocke, A.; Mersch, J.; Cherif, C. Advancing Smart Textiles: Structural Evolution of Knitted Piezoresistive Strain Sensors for Enabling Precise Motion Capture. Polymers 2023, 15, 3936. Warncke, M.N.; Böhmer, C.H.; Sachse, C.; Fischer, S.; Häntzsche, E.; Nocke, A.; Mersch, J.; Cherif, C. Advancing Smart Textiles: Structural Evolution of Knitted Piezoresistive Strain Sensors for Enabling Precise Motion Capture. Polymers 2023, 15, 3936.

Abstract

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. How-ever, 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 investiga-tion 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 mo-tion capture for medical devices. Several variables were 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 experimental evaluation, by determining the gauge factor, its non-linearity, 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.

Keywords

wearables; smart textiles; textile strain sensor; motion monitoring; medical applications

Subject

Chemistry and Materials Science, Materials Science and Technology

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