Wearable Functional Textiles: Comparison
Please note this is a comparison between Version 2 by Vicky Zhou and Version 1 by Melkie Getnet Tadesse.

Wearable E-textile systems should be comfortable so that highest efficiency of their functionality can be achieved. The development of electronic textiles (functional textiles) as a wearable technology for various applications has intensified the use of flexible wearable functional textiles instead of wearable electronics. However, the wearable functional textiles still bring comfort complications during wear. The purpose of this review paper is to sightsee and recap recent developments in the field of functional textile comfort evaluation systems. For textile-based materials which have close contact to the skin, clothing comfort is a fundamental necessity.

  • wearable technologies
  • functional textiles
  • comfort evaluation
  • intelligent systems

1. Introduction

Comfort is the most significant feature of materials that have close contact with human skin. Rossi [1] defined clothing comfort as a feeling or condition of pleasing ease, well-being, and contentment. He classified comfort dimensions as thermophysiological, psychological, and sensorial. Thermophysiological comfort is concerned with the heat balance of the body during various levels of activity, while psychological comfort is all about being at peace with oneself. Sensorial comfort is a fabric handle related to tactile, moisture, pressure, and thermal sensations [2]. Furthermore, some attempts have been made to give definitions in relation to clothing comfort. Here are some of them:
  • A term related to the roles, values, and societal standing is the so-called physiological comfort [3];
  • A state of harmony between the wearer and the surrounding environment [4]; and
  • Balanced thermal regulation of the body—thermal comfort or a combination of physiological, psychological, and mental wellbeing of the human being [5].
All the said definitions are equally important in the aspects of clothing comfort. Comfort is a very fundamental and decisive factor for when people buy clothes. Knowingly or unknowingly, people check for physiological or psychological clothing comfort. Therefore, a fundamental understanding of clothing comfort, more specifically wearable functional textiles, is very important for quality of life.
Assessing the clothing comfort of clothing material is critical as there are many dynamic contacts between the clothing and the human body, such as tension force and bending of clothing occurs as the garment is worn on the human body where there are body parts brought the fabric to be bent or tensioned, as well as friction, compression, and some gravitational force against the human body where it stands. Figure 1 details various factors that contribute to discomfort of clothing.
Figure 1. Illustrates where a rigid body (a) (assumed) is in continuous contact with a dynamically moving cloth (b). At first contact, the garment touches the skin; then, when the movement and friction tighten, it touches the soft tissues, and finally has the probability of disturbing the bone. The directions of the arrow on the cloth indicate the reaction of the cloth with the human skin. For example, the direction of gravity shows where the fabric has external forces beyond friction and contact with the skin.


  1. Rossi, R. Interactions between protection and thermal comfort. In Textiles for Protection; Sr, A., Ed.; Woodhead Publishing Limited: Cambridge, UK, 2005; pp. 233–253.
  2. Gonca, Ö.; Kayseri, N.; Nilgün, Ö.; Gamze, S. Sensorial Comfort of Textile Materials. In Woven Fabrics; Jeon, H.-Y., Ed.; IntechOpen: Shanghai, China, 2012; pp. 235–267.
  3. Kamalha, E.; Zeng, Y.; Mwasiagi, J.I.; Kyatuheire, S. The comfort dimension; a review of perception in clothing. Sens. Stud. 2013, 28, 423–444.
  4. Slater, K. The Assessment of Comfort. J. Text. Inst. 1986, 77, 157–171.
  5. Guowen, S. Improving Comfort in Clothing; Woodhead Publishing Ltd.: Oxford, UK, 2011; pp. 3–57.
  6. Gwosdow, A.R.; Stevens, J.C.; Berglund, L.G.; Foundation, J.B.P.; Stolwijk, J.A.J. Skin Friction and Fabric Sensations in Neutral and Warm Environments. Text. Res. J. 1986, 56, 574–580.
  7. Lee, J.; Nam, Y.; Cui, M.H.; Choi, K.M.; Choi, Y.L. Fit Evaluation of 3D Virtual Garment. In Usability and Internationalization HCI and Culture UI-HCII 2007 Lecture Notes in Computer Science, 4559th ed.; Aykin, N., Ed.; Springer: Berlin/Heidelberg, Germany, 2007; pp. 550–558.
  8. Lindqvist, R. On the relationship between the shear forces in human skin and the grain direction of woven fabric direction of woven fabric. Int. J. Fash. Des. Technol. Educ. 2016, 9, 1–9.
  9. Gong, Y.; Mei, S. Stretch elasticity and garment pressure of shaping-underwear fabric Stretch elasticity and garment pressure of shaping-underwear fabric. Mater. Sci. Eng. 2019, 684, 012010.
  10. Taylor, P.; Mak, C.M.; Yuen, C.W.M.; Ku, S.K.; Kan, C.W. Objective evaluation of the Tencel fabric after fibrillation Objective evaluation of the Tencel fabric after fibrillation. J. Text. Inst. 2006, 97, 223–230.
  11. Shi, Q.; Sun, J.; Hou, C.; Li, Y.; Zhang, Q.; Wang, H. Advanced Functional Fiber and Smart Textile. Adv. Fiber Mater. 2019, 1, 3–31.
  12. Koncar, V.; Cochrane, C.; Kelly, F.M.; Soulat, D.; Legrand, X. Conductive polymers for smart textile applications. J. Ind. Text. 2018, 48, 612–642.
  13. Tao, X. Smart technology for textiles and clothing: Introduction and overview. In Smart Fibres, Fabrics and Clothing; Tao, X., Ed.; Woodhead Publishing Ltd.: Cambridge, UK, 2001; pp. 1–6.
  14. Koncar, V. Introduction to smart textiles and their applications. In Smart Textiles and Their Applications; Koncar, V., Ed.; Woodhead Publishing Ltd.: Amsterdam, The Netherlands, 2016; pp. 1–8.
  15. Kirstein, T. The future of smart-textiles development: New enabling technologies, commercialization and market trends. In Multidisciplinary Know-How for Smart-Textiles Developers; Woodhead Publishing Limited: Oxford, UK, 2013; pp. 1–25.
  16. Sette, S.; Van Langenhove, L. An Overview of Soft Computing in Textiles an Overview of Soft Computing in Textiles. J. Text. Inst. 2009, 94, 103–109.
  17. Sztandera, L.M.; Cardello, A.V.; Winterhalter, C.; Schutz, H. Identification of the most significant comfort factors for textiles from processing mechanical, handfeel, fabric construction, and perceived tactile comfort data. Text. Res. J. 2013, 83, 34–43.
  18. Zadeh, L.A. Information and control. Fuzzy Sets. 1965, 8, 338–353.
  19. Zimmerman, H.-J. Using fuzzy sets in operational research. Eur. J. Oper. Res. 1983, 13, 201–216.
  20. Mamdani, E. Application of fuzzy logic to approximate reasoning using linguistic synthesis. IEEE Trans. Comput. 1977, 26, 1182–1191.
  21. Raheel, M.; Liu, J. Empirical Model for Fabric Hand. Text. Res. J. 2015, 61, 79–82.
  22. Suparta, W.; Alhasa, K.M. Modeling of Tropospheric Delays Using ANFIS. In SpringerBriefs in Meteorology; Springer Nature: Basingstoke, UK, 2016; pp. 1–18.
  23. Wong, A.S.W.; Li, Y.; Yeung, P.K.W. Predicting Clothing Sensory Comfort with Artificial Intelligence Hybrid Models. Text. Res. J. 2004, 74, 13–19.
  24. Luo, X.; Hou, W.; Li, Y.; Wang, Z. A fuzzy neural network model for predicting clothing thermal comfort. Comput. Math. Appl. 2007, 53, 1840–1846.
  25. Zeng, X.; Koehl, L. Representation of the Subjective Evaluation of the Fabric Hand Using Fuzzy Techniques. Int. J. Intell. Syst. 2003, 18, 355–366.
  26. Chen, Y.; Zeng, X.; Happiette, M.; Bruniaux, P.; Ng, R.; Yu, W. Optimisation of garment design using fuzzy logic and sensory evaluation techniques. Eng. Appl. Artif. Intell. 2009, 22, 272–282.
  27. Lu, J.; Zhu, Y.; Zeng, X.; Koehl, L.; Ma, J.; Zhang, G. A linguistic multi-criteria group decision support system for fabric hand evaluation. Fuzzy Optim. Decis. Mak. 2009, 8, 395–413.
  28. Ju, J.; Ryu, H. A Study on Subjective Assessment of Knit Fabric by ANFIS. Fibers Polym. 2006, 7, 203–212.
  29. Jeguirim, S.E.; Babay, A.; Sahnoun, M.; Cheikhrouhou, M.; Schacher, L.; Adolphe, D. The use of fuzzy logic and neural networks models for sensory properties prediction from process and structure parameters of knitted fabrics. J. Intell. Manuf. 2011, 22, 873–884.
  30. Zeng, X.; Koehl, L.; Sanoun, M.; Bueno, M.A.; Renner, M. Integration of Human Knowledge and Measured Data for Optimization of Fabric. Int. J. Gen. Syst. 2004, 33, 243–258.
  31. Zeng, X.; Ruan, D.; Koehl, L. Intelligent sensory evaluation: Concepts, implementations, and applications. Math Comput Simul. 2008, 77, 443–452.
  32. Xue, Z.; Zeng, X.; Koehl, L. To Multisensory Studies of Textile Products. In Artificial Intelligence for Fashion Industry in the Big Data Era; Zeng, S.T., Ed.; Springer: Singapore, 2018; pp. 1–4.
  33. Yu, Y.; Hui, C.; Choi, T.; Au, R. Intelligent Fabric Hand Prediction System with Fuzzy Neural Network. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 2010, 40, 619–629.
  34. Park, S.; Hwang, Y.; Kang, B. Applying Fuzzy Logic and Neural Networks to Total Hand Evaluation of Knitted Fabrics. Text. Res. J. 2000, 70, 675–681.
  35. Ruan, D.; Zeng, X. Intelligent Sensory Evaluation: Methodologies and Applications; Springer: Berlin, Germany, 2004; pp. 1–10.
  36. Jang, J.R. ANFIS: Adaptive-Network-Based Fuzzy Inference System. IEEE Trans. Syst. Man Cybern. 1993, 23, 665–685.
  37. Jeguirim, S.E.G.; Adolphe, D.C.; Sahnoun, M.; Douib, A.B.; Schacher, L.M.; Cheikhrouhou, M. Intelligent Techniques for Modeling the Relationships between Sensory Attributes and Instrumental Measurements of Knitted Fabrics. J. Eng. Fiber Fabr. 2012, 7.
  38. Tadesse, M.G.; Chen, Y.; Wang, L.; Nierstrasz, V.; Loghin, C. Tactile Comfort Prediction of Functional Fabrics from Instrumental Data Using Intelligence Systems. Fibers Polym. 2019, 20, 199–209.
  39. Tadesse, M.G.; Loghin, E.; Pislaru, M.; Wang, L.; Chen, Y.; Nierstrasz, V.; Loghin, C. Prediction of the tactile comfort of fabrics from functional finishing parameters using fuzzy logic and artificial neural network models. Text. Res. J. 2019, 89, 4083–4094.
  40. Cherenack, K.; Van Pieterson, L. Smart textiles: Challenges and opportunities Smart textiles: Challenges and opportunities. J. Appl. Phys. 2012, 112, 091301.
  41. Decaens, J.; Vermeersch, O. Specific testing for smart textiles. In Advanced Characterization and Testing of Textiles; Paricia Dolez, V.I., Ed.; Woodhead Publishing Ltd.: Boulevard, UK, 2018; pp. 351–374.
  42. Anne, S.; Lieva, V.L.; Philippe, G.; Denis, D. A roadmap on smart textiles. Text. Prog. 2010, 42, 99–180.