Next Article in Journal
Finite-Element Analysis of the Mechanical Stresses on the Core Structure of Electronically Functional Yarns
Previous Article in Journal
Development of Smart Kneecap with Electrical Stimulation
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Proceeding Paper

Sensing of Body Movement by Stretchable Triboelectric Embroidery Aimed at Healthcare and Sports Activity Monitoring †

by
Hasan Riaz Tahir
*,
Benny Malengier
,
Granch Berhe Tseghai
and
Lieva Van Langenhove
Department of Materials, Textiles and Chemical Engineering, Ghent University, 9000 Ghent, Belgium
*
Author to whom correspondence should be addressed.
Presented at the 3rd International Conference on the Challenges, Opportunities, Innovations and Applications in Electronic Textiles (E-Textiles 2021), Manchester, UK, 3–4 November 2021.
Eng. Proc. 2022, 15(1), 4; https://doi.org/10.3390/engproc2022015004
Published: 9 March 2022

Abstract

:
In this work, we introduced an embroidery-based stretchable (up to 60–70%) triboelectric nano-generator that could be attached to different parts of the human body such as fingers, knee, elbow, back, or shoulders, to sense the body movement. It can be used as activity recognition for health care and sport activity monitoring. The sensor was composed of different yarns embroidered on a stretchable conductive substrate, allowing it to sense diverse mechanical deformation of different body parts. Different stitching styles, patterns, stitch lengths, and shapes have been selected to cater to the unidirectional, bidirectional, and multidirectional force and obtain the maximum movement flexibility. In order to do embroidery on a stretchable substrate, a non-stretchable water-soluble second substrate has been added before embroidering, and is afterwards removed by application of steam. A sample of 1.5 × 6 cm2 was used for sensing finger movement and generated a peak to peak voltage of 274.5 mV. The amount of generated voltage depended upon the application area on the body and its deformation, thread type, stitch type, stitch length, and shape of embroidery. A stitch length of more than 2 mm with a line density of 1 line per mm resulted in a stretchable sample. The state of the art of the developed sensors is their low price, flexibility, and low weight. They are all obtained with commercially available embroidery yarns and commercially available technology for their development.

1. Introduction

Electronic textiles (e-textiles) have received significant attention because of their remarkable application in wearable electronics [1,2,3,4]. In recent years, the interest in stretchable and deformable wearable electronics has grown due to their potential application in several fields, including sports [5] and healthcare [6,7]. In addition, activity recognition is a crucial parameter that plays a vital role in healthcare monitoring [8] and can be achieved with e-textiles. However, all these require power, and the friction between two different materials can generate an electrostatic charge that can be harvested by a conductive substrate [9,10].
Stretchable sensors are usually made with stretchable carbon-based materials or textile structures. Different efforts have been made to develop stretchable and wearable sensors by different processes, including highly stretchable single electrodes triboelectric nanogenerator (TENGs) based on conductive nanowires and an ultrathin dual-mode patch acting as a self-powered sensor [11,12,13]. However, these are high-cost solutions. In this research work, we developed body movement sensors for healthcare and sports activity monitoring from commercially available embroidery yarns from Madeira, Germany, and with standard semi-professional embroidery machines.

2. Methodology and Results

To develop these body activity monitoring sensors, the following commercially available Madeira embroidery yarns were used.
  • Madeira 100% Viscose (VIS);
  • Madeira PES-100% Polyester Embroidery Thread (PES);
  • 60% Polybutylene Terephthalate (PBT)/40% Polypropylene (PP) Madeira;
  • Polyneon 100% Polyester Madeira (PN PES);
  • 100% Aramid Madeira (AR).
In order to cater to the different kinds of forces (unidirectional, bidirectional, multi-all directional) which are present upon application at different locations on the body, a selection of stitch types and shapes has been made to obtain a maximum peak to peak voltage while retaining the flexibility of the structure. The stitch length of 2 mm, with a stitch line density of 1 line per mm, has been selected to give flexibility to the embroidery structure.
Figure 1 shows the different stitch types and shape selection according to the application area of the body so that the generator allows maximum flexibility of movement. The most critical and challenging part was to perform the embroidery on a stretchable conductive substrate. As a substrate, Shieldex ® Technick-Tex P130+B (Statex Produktions- und Vertriebs GmbH, Bremen, Germany), a two-way stretchable knitted fabric consisting of 22% elastomer and 78% polyamide, was chosen. This conductive fabric was purchased from Statex Produktions- und Vertriebs GmbH Kleiner Ort 9-11, 28357 Bremen, Germany. The fabric’s GSM (Gram per square meter) is 132 g/m2 with a thickness of 0.55 mm.
It is not possible to embroider directly on a conductive stretchable substrate. In order to solve this problem, a water-soluble non-stretchable sheet was attached so that the stretchable substrate does not go into the machine parts during the embroidery process. After completion, the water-soluble non-stretchable substrate was removed by applying steam, and the sample became stretchable again. In order to have body activity monitoring, the prototypes and different waveforms are shown in Figure 1 and Figure 2. They were applied to the moving parts of the body through compression sleeves or physio tapes.
The characterization is performed by directly attaching the sensors to an oscilloscope. The body activity monitoring sensors generate a voltage waveform captured with an oscilloscope RIGOL DS2102A as summarized in Table 1. Table 1 shows the stitch type, shape, application area, body part, and the resulting peak to peak voltage under movement. The maximum generated peak to peak voltage was 1073 mV obtained with polyester yarns and flexible spiral stitch at a stitch length of 2 mm with physio tape and application on the knee joint. The generated voltage is the consequence of the inter friction of different yarns and the friction of the conductive substrate with the applied material during the stretching and/or bending movement.
State of the art: The state of the art of the presented triboelectric nano-generators is their low price, flexibility, and low weight, all obtained with commercially available embroidery yarns and commercially available technology for their development.

3. Conclusions

Embroidery on the stretchable conductive substrate was challenging but possible with a soluble substrate. After embroidering, steam is applied to disintegrate the non-stretchable part. The stitch length and stitch line density play an essential part in obtaining a stretchable structure. The stitch length of 2 mm and line density of 1 line per mm has been selected, with particular patterns, to obtain the desired stretch. At lower stitch length and stitch density, it is not possible to have this stretch. Additionally, the stitch type of the pattern is essential. The following four stitch types were selected: Fill, Prog. Fill, Piping, Flexible spiral. These stitch types are essential to get the stretchable structure with the selected stitch length.
The resulting waveform under movement depended mainly upon the body’s application area and the stitch type, stitch length, and shape of embroidery. The state of the art is their low price, flexibility, and lightweight, with commercially available embroidery yarns and standard embroidery equipment for their development. The most important application is for activity recognition in health care and sports activity monitoring.

Author Contributions

H.R.T. conceived the idea, conducted the experiment, and wrote the paper; G.B.T. and B.M. helped in experimenting and edited the manuscript; L.V.L. supervised and administrated the project. All authors have read and agreed to the published version of the manuscript.

Funding

The research was funded by ICT-Tex project EU project (Nr. 612248-EPP-1-2019-1-BGEPPKA2-KA) and HEC (Higher Education Commission), Pakistan: HRDI-UESTP Scholarship Project.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Acknowledgments

The authors would also like to thank the Ingegno Maker Space, Drongen, Belgium for the use of their digital embroidery machine and equipment in the creation of the flexible sensors.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ling, W.; Liew, G.; Li, Y.; Hao, Y.; Pan, H.; Wang, H.; Ning, B.; Xu, H.; Huang, X. Materials and Techniques for Implantable Nutrient Sensing Using Flexible Sensors Integrated with Metal-Organic Frameworks. Adv. Mater. 2018, 30, e1800917. [Google Scholar] [CrossRef] [PubMed]
  2. Du, D.; Li, P.; Ouyang, J. Graphene coated nonwoven fabrics as wearable sensors. J. Mater. Chem. C 2016, 4, 3224–3230. [Google Scholar] [CrossRef]
  3. Heo, J.S.; Eom, J.; Kim, Y.H.; Park, S.K. Recent progress of textile-based wearable electronics: A comprehensive review of materials, devices, and applications. Small 2018, 14, 1703034. [Google Scholar] [CrossRef] [PubMed]
  4. Xue, Q.; Sun, J.; Huang, Y.; Zhu, M.; Pei, Z.; Li, H.; Wang, Y.; Li, N.; Zhang, H.; Zhi, C. Recent Progress on Flexible and Wearable Supercapacitors. Small 2017, 13. [Google Scholar] [CrossRef] [PubMed]
  5. Zhu, M.; Shi, Q.; He, T.; Yi, Z.; Ma, Y.; Yang, B.; Chen, T.; Lee, C. Self-Powered and Self-Functional Cotton Sock Using Piezoelectric and Triboelectric Hybrid Mechanism for Healthcare and Sports Monitoring. ACS Nano 2019, 13, 1940–1952. [Google Scholar] [CrossRef] [PubMed]
  6. Meng, K.; Zhao, S.; Zhou, Y.; Wu, Y.; Zhang, S.; He, Q.; Wang, X.; Zhou, Z.; Fan, W.; Tan, X.; et al. A Wireless Textile-Based Sensor System for Self-Powered Personalized Health Care. Matter 2020, 2, 896–907. [Google Scholar] [CrossRef]
  7. Jao, Y.-T.; Yang, P.-K.; Chiu, C.-M.; Lin, Y.-J.; Chen, S.-W.; Choi, D.; Lin, Z.-H. A textile-based triboelectric nanogenerator with humidity-resistant output characteristic and its applications in self-powered healthcare sensors. Nano Energy 2018, 50, 513–520. [Google Scholar] [CrossRef]
  8. Wang, Y.; Cang, S.; Yu, H. A survey on wearable sensor modality centred human activity recognition in health care. Expert Syst. Appl. 2019, 137, 167–190. [Google Scholar] [CrossRef]
  9. Fan, F.-R.; Tian, Z.-Q.; Wang, Z.L. Flexible triboelectric generator. Nano Energy 2012, 1, 328–334. [Google Scholar] [CrossRef]
  10. Liu, S.; Zheng, W.; Yang, B.; Tao, X. Triboelectric charge density of porous and deformable fabrics made from polymer fibers. Nano Energy 2018, 53, 383–390. [Google Scholar] [CrossRef]
  11. Cui, N.; Gu, L.; Lei, Y.; Liu, J.; Qin, Y.; Ma, X.-H.; Hao, Y.; Wang, Z.L. Dynamic Behavior of the Triboelectric Charges and Structural Optimization of the Friction Layer for a Triboelectric Nanogenerator. ACS Nano 2016, 10, 6131–6138. [Google Scholar] [CrossRef] [PubMed]
  12. Pu, X.; Liu, M.; Chen, X.; Sun, J.; Du, C.; Zhang, Y.; Zhai, J.; Hu, W.; Wang, Z.L. Ultrastretchable, transparent triboelectric nanogenerator as electronic skin for biomechanical energy harvesting and tactile sensing. Sci. Adv. 2017, 3, e1700015. [Google Scholar] [CrossRef] [PubMed]
  13. Chen, X.; Song, Y.; Chen, H.; Zhang, J.; Zhang, H. An ultrathin stretchable triboelectric nanogenerator with coplanar electrode for energy harvesting and gesture sensing. J. Mater. Chem. A 2017, 5, 12361–12368. [Google Scholar] [CrossRef]
Figure 1. This figure shows the different body movement sensors with compression sleeves, physio tape and selection of four stitch types that give the maximum flexibility of movement (a) knee sensor with knee bandage; (b) knee sensor with physio tape; (c) elbow sensor with elbow bandage (d) finger movement sensor (e) elbow sensor with piping stitch and rhombus shape for maximum flexibility of movement (f) back movement sensor with physio tape (g) shoulder movement sensor with physio tape (h) selection of stitch types (Fill, Prog. Fill, Piping, and Flexible spiral stitch).
Figure 1. This figure shows the different body movement sensors with compression sleeves, physio tape and selection of four stitch types that give the maximum flexibility of movement (a) knee sensor with knee bandage; (b) knee sensor with physio tape; (c) elbow sensor with elbow bandage (d) finger movement sensor (e) elbow sensor with piping stitch and rhombus shape for maximum flexibility of movement (f) back movement sensor with physio tape (g) shoulder movement sensor with physio tape (h) selection of stitch types (Fill, Prog. Fill, Piping, and Flexible spiral stitch).
Engproc 15 00004 g001
Figure 2. The effect on the waveform for different application area and stich type: (a) waveform for knee movement developed with Polyneon 100% Polyester Madeira (PN PES) using fill stitch; (b) waveform for elbow movement developed with 60% PBT/40% PP Madera using pipping stitch; (c) waveform for finger movement developed with viscose and polyester Madera using Prog. Fill stitch; (d) waveform for knee movement developed with polyester Madeira yarn and through compression sleeves.
Figure 2. The effect on the waveform for different application area and stich type: (a) waveform for knee movement developed with Polyneon 100% Polyester Madeira (PN PES) using fill stitch; (b) waveform for elbow movement developed with 60% PBT/40% PP Madera using pipping stitch; (c) waveform for finger movement developed with viscose and polyester Madera using Prog. Fill stitch; (d) waveform for knee movement developed with polyester Madeira yarn and through compression sleeves.
Engproc 15 00004 g002aEngproc 15 00004 g002b
Table 1. Stretchable sensors stitch type, shape, application area, and the triboelectric results.
Table 1. Stretchable sensors stitch type, shape, application area, and the triboelectric results.
Yarn TypeStitch TypeShapeSize (cm2)Application by Application PartPeak to Peak mVCurrent Density μA cm−2Power Density nW cm−2
VIS/PESProg. FillRectangle1.5 × 6Physio Tape Finger
274.50.03058.37
VISPipingRhombus6 × 6BandageElbow 126.00.00350.441
Rectangle4.5 × 6BandageKnee178.00.00661.17
PESFlexible Spiral Square4 × 4BandageElbow219.20.01373.00
Round9.5BandageKnee10730.015116.25
60% PBT/40% PP PipingRectangle7 × 4Physio TapeKnee223.80.00801.79
PN PES 100%Fill Rectangle4 × 6Physio Tapeshoulder105.90.00440.47
AR Piping-longer stitch lengthRectangle4 × 5Physio TapeBack111.20.00560.62
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Tahir, H.R.; Malengier, B.; Tseghai, G.B.; Van Langenhove, L. Sensing of Body Movement by Stretchable Triboelectric Embroidery Aimed at Healthcare and Sports Activity Monitoring. Eng. Proc. 2022, 15, 4. https://doi.org/10.3390/engproc2022015004

AMA Style

Tahir HR, Malengier B, Tseghai GB, Van Langenhove L. Sensing of Body Movement by Stretchable Triboelectric Embroidery Aimed at Healthcare and Sports Activity Monitoring. Engineering Proceedings. 2022; 15(1):4. https://doi.org/10.3390/engproc2022015004

Chicago/Turabian Style

Tahir, Hasan Riaz, Benny Malengier, Granch Berhe Tseghai, and Lieva Van Langenhove. 2022. "Sensing of Body Movement by Stretchable Triboelectric Embroidery Aimed at Healthcare and Sports Activity Monitoring" Engineering Proceedings 15, no. 1: 4. https://doi.org/10.3390/engproc2022015004

Article Metrics

Back to TopTop