Journal of Textile Research ›› 2026, Vol. 47 ›› Issue (1): 123-131.doi: 10.13475/j.fzxb.20250602201

• Textile Engineering • Previous Articles     Next Articles

Construction and sensing performance of all knitted multi-modal flexible capacitive sensor

SHAO Jianbo1,2, YUE Xinyan2, CHEN Yu2, HAN Xiao2,3, HONG Jianhan1,2,3()   

  1. 1. School of Textile, Apparel and Art Design, Shaoxing Institute of Technology, Shaoxing, Zhejiang 312000, China
    2. School of Textile Science and Engineering, Shaoxing University, Shaoxing, Zhejiang 312000, China
    3. Key Laboratory of Clean Dyeing and Finishing Technology of Zhejiang Province, Shaoxing, Zhejiang 312000, China
  • Received:2025-06-10 Revised:2025-07-30 Online:2026-01-15 Published:2026-01-15
  • Contact: HONG Jianhan E-mail:jhhong@usx.edu.cn

Abstract:

Objective Flexible sensors, as the core components of intelligent textiles, have become a new research hotspot. Multi-modal sensors have a broader market prospect by virtue of their ability to monitor various external signals. At present, research on multi-modal flexible capacitive sensors mainly focuses on three-dimensional and one-dimensional structures. Three-dimensional flexible sensors are difficult to miniaturize due to their relatively large thickness and area. Long time wearing of one-dimensional flexible capacitive sensors has been reported to cause a sense of compression or friction discomfort to the skin. Therefore, it is of great significance to develop a two-dimensional knitted flexible sensor that is comfortable to wear and well integrated with clothing.

Method Silver-coated polyamide fiber (SCP) was used as the core yarn, on which double-layer polyester (PET) was wrapped, with the inner layer being S-twist and the outer layer being Z-twist, and the twist factor was 1 000 twists/m. PET/SCP yarn was thus prepared. A layer of waterborne polyurethane (PU) was coated on the outer surface of the PET/SCP yarn to obtain PU-PET/SCP composite conductive yarn, which was used as raw material to prepare an all knitted multi-modal flexible capacitive sensor. The influence of coating process on the performance of core yarn was studied. The tensile, pressure and non-contact sensing properties of the sensor were analyzed, and the sensor was applied to human activity monitoring.

Results After PET wrapping and PU coating, the mechanical properties of the composite yarns were significantly improved, with the breaking strength and elongation at break increased by 216.9% and 9.33%, respectively. The composite conductive yarns were knitted into a flexible capacitive sensor with the plain knitted structure on a computerized flat knitting machine, and the sensor was designed to have multi-modal external force detection capabilities. In the tensile sensing tests in both the transverse and longitudinal directions, the capacitance of the sensor gradually increased with the increase of strain. The maximum sensitivity coefficient reached 0.324 3. Under the condition of stretching at a speed of 8.8 mm/s for 250 s at different elongation rates for a total of 1 000 s, the capacitance change of the sensor was relatively stable, demonstrating good repeatability. The sensor had good linearity, with R2 values of the fitting equations being higher than 0.97 at different elongation rates, indicating that within a certain strain range, the ΔC/C0 and elongation rate of the sensor showed a good linear correlation. In the pressure sensing test, by placing weights on the sensor, it was found that the sensor had good recognition ability for weights of different masses, and the capacitance change was stable for weights of the same mass, demonstrating good pressure sensing characteristics. In the non-contact sensing performance test, the sensor demonstrated multi-directional sensitivity. When an object approaches in either the vertical or horizontal direction, the sensor can display a relatively stable capacitance change signal. When an object approached the sensor without contact, the capacitance of the sensor gradually decreased with both the diminishing distance to the object and the increasing area of the object. This sensor demonstrates excellent non-contact sensing capabilities. It can identify the size (from a finger to a palm) and speed of approaching objects, and the corresponding relative capacitance changes are respectively significant. The speed detection was validated at specific vertical and horizontal palm movement frequencies.For human body monitoring, it precisely measures arm and knee bending (by 0°-90°) and detects respiratory rate by capturing the periodic capacitance variations caused by abdominal movements during breathing.

Conclusion A core-spun yarn structure was fabricated using SCP as the core yarn and PET as the sheath, subsequently over-coated with a PU layer to produce PU-PET/SCP composite conductive yarn. The composite conductive yarn exhibited excellent mechanical properties. The knitted capacitive sensors based on the PU-PET/SCP composite conductive yarn demonstrated the capability to monitor three types of external loading, i.e. stretching, pressure, and non-contact interactions. The two-dimensional knitted structure of the sensor features compact dimensions in both area and thickness, ensuring enhanced wearing comfort. Owing to these characteristics, this sensor shows significant application potential in fields such as human motion monitoring, healthcare, and robotics.

Key words: all knitted structure, composite conductive yarn, flexible sensor, capacitive sensor, sensing performance, human motion monitoring, smart texiles

CLC Number: 

  • TS101.922

Fig.1

Physical photo (a) and weave diagram (b) of knitted structure flexible sensor"

Fig.2

Surface and cross-sectional morphologies of different yarns"

Fig.3

Load-elongation rate curves of different yarns"

Tab.1

Mechanical properties of different yarns"

纱线 断裂强力/N 断裂伸长率/%
SCP 7.85±0.64 37.10±2.27
PET/SCP 24.21±0.46 42.09±0.86
PU-PET/SCP 24.88±0.49 40.56±0.83

Tab.2

Resistance values of yarn"

纱线 单位电阻/(Ω·cm-1)
芯层 外层
SCP 4.49±0.97
PET/SCP 4.91±1.00 超量程,>5×107
PU-PET/SCP 5.24±1.26 超量程,>5×107

Fig.4

Influence of elongation rate on relative capacitance of sensor. (a) Transverse stretching; (b) Longitudinal stretching"

Fig.5

Principle of sensor stretch sensing"

Tab.3

Sensitivity coefficients and linearities of sensors at different elongation rates"

方向 伸长
率/%
GGF 线性拟合方程
横向 20 0.079 1 yT=1.923x-0.131, R2=0.978
30 0.159 3 yT=3.250x+0.134, R2=0.994
40 0.160 3 yT=3.251x+0.244, R2=0.995
50 0.173 6 yT=3.333x-0.445, R2=0.996
纵向 20 0.277 0 yv=6.661x-0.490, R2=0.990
30 0.301 6 yv=7.193x-0.316, R2=0.979
40 0.306 9 yv=7.965x-1.022, R2=0.979
50 0.324 3 yv=8.931x-1.052, R2=0.977

Fig.6

Stability of sensor under repeated tensile cycles. (a) Transverse stretching; (b) Longitudinal stretching"

Fig.7

Pressure sensing performance of sensors. (a) Pressing by weights of different masses; (b) Cyclic pressing by 50 g weight"

Fig.8

Non-contact sensing performance. (a) Monitoring of different numbers of fingers by sensor; (b) Monitoring of palm movement at different speeds in vertical direction by sensor; (c)Monitoring of palm movement at different speeds in horizontal direction by sensor"

Fig.9

Application of sensors in human motion and vital sign monitoring. (a) Arms bending at different angles; (b) Knees bending at different angles; (c) Respiratory monitoring"

[1] 汪宇, 李奇鑫, 孙丰鑫. 织物基柔性传感器的研究进展[J]. 棉纺织技术, 2024, 52(5): 1-7.
WANG Yu, LI Qixin, SUN Fengxin. Research progress of fabric-based flexible sensor[J]. Cotton Textile Technology, 2024, 52(5): 1-7.
[2] MAHBUB I, PULLANO S A, WANG H F, et al. A low-power wireless piezoelectric sensor-based respiration monitoring system realized in CMOS process[J]. IEEE Sensors Journal, 2017, 17(6): 1858-1864.
doi: 10.1109/JSEN.2017.2651073
[3] XING Y, XIA Z D, ZHOU W, et al. Fabric resistive and capacitive sensors using wet-spinning wire of conductive silicone rubber[J]. Sensors and Actuators A: Physical, 2025, 387: 116426.
doi: 10.1016/j.sna.2025.116426
[4] GURARSLAN A, ÖZDEMIR B, BAYATİH, et al. Silver nanowire coated knitted wool fabrics for wearable electronic applications[J]. Journal of Engineered Fibers and Fabrics, 2019, 14(7):1-8.
[5] YUE X Y, WANG X H, SHAO J B, et al. One-dimensional flexible capacitive sensor with large strain and high stability for human motion monitoring[J]. ACS Applied Materials & Interfaces, 2024, 16(43): 59412-59423.
[6] ATALAY O. Textile-based, interdigital, capacitive, soft-strain sensor for wearable applications[J]. Materials, 2018, 11(5): 768.
doi: 10.3390/ma11050768
[7] HUANG C Y, YANG G, HUANG P, et al. Flexible pressure sensor with an excellent linear response in a broad detection range for human motion monitoring[J]. ACS Applied Materials & Interfaces, 2023, 15(2): 3476-3485.
[8] XU R D, QU L J, TIAN M W. Touch-sensing fabric encapsulated with hydrogel for human-computer interaction[J]. Soft Matter, 2021, 17(40): 9014-9018.
doi: 10.1039/d1sm01096d pmid: 34610079
[9] CUI J L, NAN X L, SHAO G R, et al. High-sensitivity flexible pressure sensor-based 3D CNTs sponge for human-computer interaction[J]. Polymers, 2021.DOI: 10.3390/polym13203465.
[10] XU C S, CHEN J, ZHU Z F, et al. Flexible pressure sensors in human-machine interface applications[J]. Small, 2024, 20(15): 2306655.
doi: 10.1002/smll.v20.15
[11] DONG C Z, BAI Y F, ZOU J F, et al. Flexible capacitive pressure sensor: material, structure, fabrication and application[J]. Nondestructive Testing and Evaluation, 2024, 39(7): 1749-1790.
doi: 10.1080/10589759.2024.2327639
[12] YE X R, TIAN M W, LI M, et al. All-fabric-based flexible capacitive sensors with pressure detection and non-contact instruction capability[J]. Coatings, 2022, 12(3): 302.
doi: 10.3390/coatings12030302
[13] GUAN F Y, XIE Y, WU H X, et al. Silver nanowire-bacterial cellulose composite fiber-based sensor for highly sensitive detection of pressure and proximity[J]. ACS Nano, 2020, 14(11): 15428-15439.
doi: 10.1021/acsnano.0c06063 pmid: 33030887
[14] 丛洪莲, 赵博宇, 董智佳. 智能针织产品开发现状与应用前景[J]. 纺织导报, 2020(5): 20-24.
CONG Honglian, ZHAO Boyu, DONG Zhijia. Development status and application prospect of intelligent knitting products[J]. China Textile Leader, 2020(5): 20-24.
[15] 张蕊, 叶苏娴, 王建, 等. 全织物型离电式柔性压力传感器的制备及其性能[J]. 纺织学报, 2025, 46(2): 113-121.
ZHANG Rui, YE Suxian, WANG Jian, et al. Preparation and performance of all-fabric iontronic flexible pressure sensor[J]. Journal of Textile Research, 2025, 46(2): 113-121.
doi: 10.1177/004051757604600206
[16] 佑晓露. 基于纳米纤维的柔性电容式传感器的构建与研究[D]. 郑州: 中原工学院, 2019:8-15.
YOU Xiaolu. Construction and research of flexible capacitive sensor based on nanofibers[D]. Zhengzhou: Zhongyuan University of Technology, 2019:8-15.
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