Smart Clothing: History
Please note this is an old version of this entry, which may differ significantly from the current revision.
Contributor:

Smart clothing can be defined as the intelligent system that senses and reacts to the changes and stimuli of the environment and the wearer’s conditions, such as electrical, thermal and magnetic ones. Smart clothing has various functions (e.g., protection, temperature regulation, monitoring, entertainment, expression of personality, etc.) and embodies many features (e.g., efficient, intelligent, computable, etc.), combining cutting-edge technologies in related fields such as electronic information, sensors and materials. Smart clothing has emerged to meet consumers’ personalized needs in healthcare, work, entertainment, etc., and has rapidly become a hotspot in the clothing industry and research field. However, as smart clothing gets popular, sustainability issues are becoming increasingly prominent during its development and circulation. 

  • smart clothing
  • sustainability
  • design
  • production
  • supply chain

1. Definition of Smart Clothing

The intelligence of clothing is mainly realized in two ways [1][2]: (1) Ordinary clothing is organically combined with an integrated circuit system to realize the preset functions. For example, sensors, power supplies and other hardware are integrated into a single package through packaging and miniaturization technology and then are attached to clothing. (2) To realize the intelligent functions, flexible wearable technology is used. For example, flexible sensors, thin-film batteries and flexible displays are woven into clothing, or fabrics with functions such as phase change and color change are directly used. In the first way, intelligent modules are separated from fabrics, while the second way emphasizes the integration of smart modules and textiles, with better comfort, flexibility and concealment of electric components, which will be the main trend of smart clothing in the future.
Research on smart clothing originated from the smart medical shirt developed by Georgia Tech Wearable Motherboard (GTWM) [3], a U.S. Navy funded project, in 1996. This shirt was made of optical fibers and special sensors to detect gunshot wounds and monitor physiological signals in a fighting environment. Although research on the wearable system began as early as 1991, the GTWM smart shirt realized the real integration of textile materials and computing technology. As the research continues, the application of smart clothing is no longer limited to the military and is also widely used in aerospace [4], fire protection [5], medicine [3], fitness [6] and other fields.

2. General Classification of Smart Clothing

Smart clothing provides a series of personalized services by embedding multiple functional modules on the basis of traditional clothing. According to the function, smart clothing can be divided into various types used for sports and fitness, medical care, safety protection and entertainment, as shown in Table 1.
Table 1. General classification of smart clothing.
Types Main Functions Target Groups Representative Examples
For sports and fitness Record wearers’ fitness metrics to improve exercising effect Sports enthusiasts Athos bodysuit, Hexoskin vest, etc.
For health care Monitor users’ health data for preventing and curing diseases The elderly, children, patients, etc. Remote monitoring equipment, intelligent bone rehabilitation equipment, LEGSys gait analysis system, etc.
For safety protection Provide safety protection for users to reduce danger The old, the weak, the sick, the disabled and the practitioners of high-risk occupations Sensatex baby pajamas, Prop fall-proof coat, ClimaCool racing suit, etc.
For entertainment Make clothing more interesting and enrich leisure life The young Levi’s music coat, smart navigation jacket, Teslasuit, etc.
Smart clothing for sports and fitness is mainly used to track steps, speed, heart rate, calorie consumption and other fitness metrics so as to improve the exercise effect. For example, the Canadian Athos bodysuit [6] integrated several washable EMG sensors in key muscle spots, enabling real-time monitoring of users’ heart rate, respiratory rate and muscle mass to avoid injury during exercising. On the basis of tracking users’ physiological data, Hexoskin smart vest [7] was equipped with an app compatible with third-party applications (e.g., Strava, Run Keeper, etc.)
Smart clothing for health care is an important trend of the apparel industry. It helps its wearers monitor health status in real time and prevent diseases by accurately collecting and analyzing heart rate, ECG, blood pressure, EMG signals and other health data. The existing achievements include a wearable device with remote monitoring function [8], intelligent bone rehabilitation device [9], etc. LEGSys [10] (a gaits analysis system) developed by BioSensics helps doctors track patients’ conditions and adjust treatment plans.
Smart clothing for safety protection is mainly developed for the old, the weak, the sick, the disabled and high-risk occupational practitioners. This type of clothing usually has the functions of alarm, positioning, pollution prevention and high temperature resistance to reduce the wearers’ danger in daily life or harsh environments. Sensatex developed special pajamas for babies [11], which will sound an alarm if the baby stops breathing when sleeping. Prop invented an intelligent fall prevention coat [12], which is able to sense the motion of falling and quickly inflate and pop up within 0.1 s to protect the hip, spine, head and other body parts for the elderly. The ClimaCool smart racing suit [13] launched by Adidas is used to recognize identity and store personal medical records so as to provide help for treatment in case of car accidents.
Smart clothing for entertainment focuses on the experience of garments and life, equipped with music playing, video playing, automatic temperature regulation, positioning and navigation and expressing mood and other functions, for example, Levi’s music jacket [14], its smart jacket with voice navigation [15] and some wearable equipment based on virtual reality technology. Tesla Studios developed a VR equipment named Teslasuit [16], made of a special intelligent fabric and a large number of sensors to stimulate nerves and muscles through a pulse current to confuse human senses so that wearers can experience the feeling of interacting with virtual game characters.

3. Design Principles of Smart Clothing

The difference between intelligent clothing and ordinary clothing is that it emphasizes people’s actual needs. In order to meet the requirement, smart clothing has a complicated manufacturing process, high cost and lots of design principles. In addition to style, color and fabric, designers focus on how to combine clothing with electronic information technology. Thus, the design principles can be summarized as intelligent module design and carrier design, in which carrier design includes material design and garments integral design (Figure 1).
Figure 1. Design principles of smart clothing.

3.1. Intelligent Modules

Intelligent module design is the core of its difference from traditional clothing design, which involves the frontier technologies in many fields. It can be divided into the following five aspects.
  • Sensor module
Sensor module is the key to realizing intelligent garments. It is used to convert non-electrical signals into electrical signals that are easy to process [17]. Sensing technology can monitor heart rate, blood pressure, sweating rate and other physiological indexes, as well as the changes of environmental information such as temperature, pressure, location, etc. For example, baby pajamas developed by Rest Devices can sense the baby’s breathing and temperature through multiple built-in sensors, and the family can view the baby’s condition on an app to facilitate nursing [18]. An Italian team Andretta developed a gas sensor and applied it to work clothes, achieving a great effect on gas safety monitoring [19].
2.
Communication module
Communication module transmits the data and information collected by sensors. Communication technology greatly reduces the use of wires and facilitates data transmission. The communication between smart clothing and the data terminal is mainly based on Bluetooth, WiFi, NFC and other technologies. For example, a smart shirt launched by Arrow uses NFC to realize sending electronic business cards and playing music [20]. Japanese researchers designed intelligent clothing that prevents the elderly from getting lost by combining WiFi with GPS, which is convenient for families to know the elderly’s location in real time and ensure travel safety for the old [21].
3.
Decision-making and feedback module
Decision-making and feedback module is a unit for information collection, processing and transmission. In smart clothing, it is mainly used to extract, transform and analyze the collected physiological or environmental signals, make judgments according to default information and trigger further reactions [22]. Smart clothing can realize communication with people, no matter what the communication form is (e.g., text display, voice feedback, image presentation, etc.). The decision-making and feedback module is essential to process signals and improve reasonable services and guidance.
4.
Human–machine interaction module
Human–machine interaction module builds a communication bridge between users and clothing. Human–machine interaction technology, originated from the computer field, is a technology that produces an interactive relationship with the surrounding environment and other organisms through language or behavior based on the needs of users [23]. At present, human–machine interaction technology generally achieves speech recognition, face recognition, gesture analysis and other functions by identifying and analyzing sound, image and other signals.
5.
System integration module
System integration module integrates separated modules and function into an interrelated and unified system through computer network technology so as to achieve resource sharing and efficient management [24]. System integration technology includes module integration and function integration. Module integration is the integration of electronic components into a single package, mainly relying on packaging and miniaturization technologies. Function integration refers to the connection and interaction between devices to make function configuration reasonable, which mainly relies on wireless body area network technology, a technology that transmits data to an intelligent terminal by wireless communication technology [25]. For example, users’ ECG, pulse, respiration and blood oxygen are monitored at the same time.

3.2. Carrier of Intelligent Modules

In addition to the advanced technologies, the intelligence of garments cannot be realized without the design of a carrier. Carrier design can be roughly divided into material design and garment integral design.
  • Material design
The materials used in smart clothing include ordinary fabrics and functional material. The former are used as functional carriers to ensure the basic wearing performance of clothing, whereas the latter is used to improve the functionality of clothing based on the unique properties of fibers.
The adaptability of intelligent components, clothing comfort and usage scenarios should be considered for fabric design. Because the properties (e.g., rigidity and extensibility) of electronic devices such as sensors and processors are quite different from ordinary yarns, the fabric yarns should be selected flexibly according to the position, embedding mode and functional requirements of electronic components. For example, the fabric for emergency rescue should have high strength, high toughness, good permeability and water resistance [5]. In order to improve the comfort of clothing, combining intelligent materials with ordinary yarns through blending or knitting is a common way. For example, phase-change materials are added to underwear fabric to regulate body temperature, and conductive yarn is blended with ordinary cotton yarn to improve the feel and look of the fabric. In addition, fabric layered design is also commonly used in smart clothing, for example, physiological monitoring intelligent clothing applied in fire protection and military. In order to accurately perceive the changes in workers’ health condition, the intelligent module should be in close contact with the skin, and thus it is generally placed in the inner layer, which should have the properties of moisture absorption, ventilation, heat transmission and fast drying. The second layer of fabric is used for thermal insulation and minimizing external signal interference. Finally, in order to improve the protection capability further, a third layer can be added to improve the performance in wind resistance, water repellency, temperature resistance and acid resistance [26].
Functional materials have the functions of sensing information, processing information, self-diagnostics, self-repair and so on [27]. The common materials used in intelligent clothing include shape-memory materials, phase-change materials, intelligent color-changing materials, optical materials and conductive materials. Shape-memory material is able to return to its original shape with the right thermal, optical, etc., stimuli [28]. It is mainly applied in clothing for fitness and posture adjustment. Phase-change material enables garments to regulate temperature by sensing ambient temperature [29]. The material is usually applied in pockets, necklines and other positions and is suitable for athletes, sanitation workers, smelting workers, etc. Intelligent color-changing material is divided into photochromic and thermochromic, mainly applied for leisure and recreation, as well as acting as a warning. Optical material is used to sense and transmit data and provide real-time and accurate system information and is widely applied in all kinds of sensors [30]. Conductive material is able to connect various electronic modules to ensure the system works properly [28]. In addition to serving as a connection, conductive fibers are also widely used in flexible sensors. For example, American Circuitex weaved conductive fibers into clothing as sensors to monitor the health status of patients [31]. In addition, with the development of biochemical technology, more new intelligent materials have been developed, such as antibacterial material [32] and anti-impact material [33]. Wang et al. [34] tried to improve the tensile properties and conductivity of fibers applied to smart textiles. Tokyo University developed an invisibility cloak based on visual camouflage, which is made of retro-reflective fibers [30].
2.
Appearance and comfort design
The style design of smart clothing requires designers to improve the fashion sense while ensuring garment practicability. Similar to ordinary clothing, the characteristics of targeted consumers should be considered. For example, in terms of color selection, simple and elegant color matching are suitable for the elderly while bright and bold colors are better for the young. In pattern design, children’s clothing needs to emphasize fun and novelty. For example, most children prefer vivid and lovely patterns such as cartoon, letter and bionic figures. It is suggested that the concealment of intelligent components be considered in the pattern design. It is necessary to reduce the presence of electronic components through proper arrangement of pattern color, position and shape. In addition, the feedback mode of smart clothing also affects the design. For example, the LED display screen is generally placed on the back, and the light-emitting module is generally built in hems and cuffs. Other detailed designs such as laces and folds can not only play a decorative role but also enhance the concealment of electronic components.
For smart clothing, it is difficult to balance functionality and comfort. For example, the hardness, rigidity and volume of electronic components may cause foreign body feeling or even tingling. At present, flexible electronic technologies (e.g., flexible sensor, skin electronic patch, thin-film battery, flexible screen) tend to be used for improving the comfort of intelligent clothing. For example, Coosemans et al. [35] integrated sensors made of mixed textile materials into baby pajamas. In addition, fabric segmentation design is also a widely used method to improve the comfort of intelligent clothing. Different fabrics should be selected according to the contact area with the skin. For example, fabric close to the neck and the elbow should be soft and elastic [36]. In addition, the position of intelligent components also affects the wearing comfort; thus the areas susceptible to large activity and dirt such as cuffs and necklines should avoid electronics. For example, Liu [37] designed a zipper on the front of the T-shirt to place the locators.
The connection manner between the carrier and the intelligent module is a vital part in smart clothing design. The traditional method makes intelligent components separate from textiles, that is, textiles as a platform for embedded electronics (e.g., pockets) [38]. Pockets are generally located in side seams, hems, hats, etc. As the technology develops, intelligent materials are better integrated with textiles, and thus softer connection modes emerged. For example, the electronic devices are embedded in zippers and buttons [39] or with seamless connection between the intelligent elements and ordinary fabrics by knitting [40], embroidery [41] and coating [42]. Recently, the progress of biochemical technology has inspired designers to directly adopt textile materials with inherent functionalities without considering the connection mode. For example, Solar Active developed yarns that are able to change into orange, blue, red and other colors under ultraviolet irradiation, which can be directly used to make intelligent color-changing clothing [43]. Berzowska et al. [44] designed a shape-memory material in the shape of flowers to decorate the shoulder of a dress, with flowers blooming and closing to the change of temperature.
Various intelligent wearable devices are sprouting up with technological advancements. Wearable devices are the combination of microelectronic devices with daily wearable products [2], such as glasses, watches, backpacks, etc. However, these products have long-term discomfort, insufficient accuracy and many other disadvantages; thus health monitoring through traditional wearable devices is difficult to sustain. In addition, due to the small contact area between wearable devices and the skin, the types and accuracy of collected physiological parameters are relatively limited [45], resulting in the functions being unable to meet the requirements of consumers. As a kind of intelligent wearable device, clothing is in direct contact with about 90% of the skin [46], which has a wider monitoring range and gains more accurate results. Thus, the key to achieving continuous innovation and vitality for smart clothing is to integrate functional components into daily textiles in a softer way, which not only meets the basic needs of consumers for covering and keeping warm but also satisfies the functional needs of physiological monitoring, health protection, leisure and recreation.

This entry is adapted from the peer-reviewed paper 10.3390/su14020990

References

  1. Tao, X. Smart technology for textiles and clothing-introduction and review. In Smart Fibres, Fabrics and Clothing; Woodhead Publishing: Sawston, UK, 2001; pp. 1–6.
  2. Chan, M.; Estève, D.; Fourniols, J.Y. Smart wearable systems: Current status and future challenges. Artif. Intell. Med. 2012, 56, 137–156.
  3. Park, S.; Gopalsamy, C.; Rajamanickam, R. The Wearable Motherboard: A Flexible Information Infrastructure or Sensate Liner for Medical Applications. Stud. Health Technol. Inform. 1999, 62, 252–258.
  4. Jacobs, S.E.; Capua, M.; Husain, S.A.; Mirvis, A.; Akin, D.L. Incorporating Advanced Controls, Displays and other Smart Elements into Space Suit Design. SAE Int. J. Aerosp. 2011, 4, 374–384.
  5. Hertleer, C.; Odhiambo, S.; Lieva, V.L. Protective clothing for firefighters and rescue workers. In Smart Textiles for Protection; Elsevier: Amsterdam, The Netherlands, 2013; pp. 338–363.
  6. Scataglini, S.; Moorhead, A.; Feletti, F. A Systematic Review of Smart Clothing in Sports: Possible Applications to Extreme Sports. Muscles Ligaments Tendons J. 2020, 10, 333–342.
  7. Al Mahmud, A.; Wickramarathne, T.I.; Kuys, B. Effects of smart garments on the well-being of athletes: A scoping review protocol. BMJ Open 2020, 10, e042127.
  8. Nag, S.; Sharma, D.K. Wireless e-jacket for multiparameter biophysical monitoring and telemedicine applications. In Proceedings of the 2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors, Cambridge, MA, USA, 4–6 September 2006; pp. 40–44.
  9. Wang, Q.; Markopoulos, P.; Yu, B.; Chen, W.; Timmermans, A. Interactive wearable systems for upper body rehabilitation: A systematic review. J. Neuroeng. Rehabil. 2017, 14, 1–21.
  10. Chen, B. LEGSys: Wireless gait evaluation system using wearable sensors. In Proceedings of the 2nd Conference on Wireless Health, San Diego, CA, USA, 10–13 October 2011; pp. 1–2.
  11. Sensatex. Available online: https://www.sohu.com/a/207823954_777213 (accessed on 1 December 2017).
  12. Tamura, T.; Yoshimura, T.; Sekine, M. A wearable airbag to prevent fall injuries. IEEE Trans. Inf. Technol. Biomed. 2009, 13, 910–914.
  13. Williams, A. Yogawear. Available online: https://www.ideafit.com/uncategorized/trends-in-fitness-fashion-for-2016/ (accessed on 19 September 2016).
  14. Co, L.S. Levi’s® Comm;uter™ Trucker Jacket with Jacquard™ by Google to Debut. Available online: https://www.levistrauss.com/2017/09/25/levis-commuter-trucker-jacket-jacquard-google/ (accessed on 15 September 2017).
  15. Biswas, M.; Dhoom, T.; Pathan, R.K. Shortest Path Based Trained Indoor Smart Jacket Navigation System for Visually Impaired Person. In Proceedings of the 2020 IEEE International Conference on Smart Internet of Things (SmartIoT), Beijing, China, 14–16 August 2020; pp. 228–235.
  16. Techeblog. Teslasuit Is a Full-Body Virtual Reality Haptic Suit That Makes “Black Mirror” Style Gaming Real. Available online: https://www.techeblog.com/teslasuit-haptic-suit-virtual-reality/ (accessed on 16 January 2019).
  17. Wilson, J.S. Sensor Technology Handbook; Elsevier: Amsterdam, The Netherlands, 2004.
  18. Hossain, H.S.; Ramamurthy, S.R.; Khan, M.A. An active sleep monitoring framework using wearables. ACM Trans. Interact. Intell. Syst. 2018, 8, 1–30.
  19. Andretta, A.; Terranova, M.L.; Lavecchia, T. Nanotechnology and textiles engineered by carbon nanotubes for the realization of advanced personal protective equipments. In AIP Conference Proceedings; American Institute of Physics: Rome, Italy, 2013; pp. 71–77.
  20. Mäntyjärvi, J.; Hoisko, J.; Kaario, J. System and Method for Smart Clothing and Wearable Electronic Devices. U.S. Patent 6801140B2, 5 October 2004.
  21. Rantanen, J.; Alfthan, N.; Impio, J. Smart clothing for the arctic environment. In Proceedings of the Digest of Papers Fourth International Symposium on Wearable Computers, Atlanta, GA, USA, 16–17 October 2000; pp. 15–23.
  22. Hadad, Y.; Keren, B.; Laslo, Z. A decision-making support system module for project manager selection according to past performance. Int. J. Proj. Manag. 2013, 31, 532–541.
  23. He, Z.; Chang, T.; Lu, S. Research on human-computer interaction technology of wearable devices such as augmented reality supporting grid work. Procedia Comput. Sci. 2017, 107, 170–175.
  24. Bonfiglio, A.; Rossi, D. Wearable Monitoring Systems; Springer Science & Business Media: Berlin/Heidelberg, Germany, 2010.
  25. Lu, J.M.; Wang, M.J.; Chen, C.W. The development of an intelligent system for customized clothing making. Expert Syst. Appl. 2010, 37, 799–803.
  26. McCann, J. The garment design process for smart clothing: From fibre selection through to product launch. In Smart Clothes and Wearable Technology; Elsevier: Amsterdam, The Netherlands, 2009; pp. 70–94.
  27. Tao, X. Smart Fibres, Fabrics and Clothing: Fundamentals and Applications; Elsevier: Amsterdam, The Netherlands, 2001.
  28. Tang, S.; Lam, P.; Stylios, G.K. An overview of smart technologies for clothing design and engineering. Int. J. Cloth. Sci. Technol. 2006, 18, 108–128.
  29. Mondal, S. Phase change materials for smart textiles–An overview. Appl. Therm. Eng. 2008, 28, 1536–1550.
  30. Ghasemi, R.; Dubrovina, N.; Tichit, P.H. Transformation optics and infrared metamaterials for optical devices. Appl. Phys. A 2012, 109, 819–823.
  31. Tang, Z.; Jia, S.; Shi, S. Coaxial carbon nanotube/polymer fibers as wearable piezoresistive sensors. Sens. Actuators A Phys. 2018, 284, 85–95.
  32. Gregory, R.V.; Samuels, R.J.; Hanks, T. Chameleon fibers: Dynamic color change from tunable molecular and oligomeric devices. Natl. Text. Cent. Annu. Rep. 1999, 11, M98-C01.
  33. Sun, Y.T.; Liu, X.D.; Tian, G.P. Analysis of the D3O materials in baseball protective clothing. In Applied Mechanics and Materials; Trans Tech Publication: Stafa-Zurich, Switzerland, 2012; pp. 1174–1177.
  34. Wang, L.; Chen, Y.; Lin, L. Highly stretchable, anti-corrosive and wearable strain sensors based on the PDMS/CNTs decorated elastomer nanofiber composite. Chem. Eng. J. 2019, 362, 89–98.
  35. Coosemans, J.; Hermans, B.; Puers, R. Integrating wireless ECG monitoring in textiles. Sens. Actuators A: Phys. 2006, 130, 48–53.
  36. Ma, X.; Ding, Y.; Wang, L. Prediction of dynamic thermal and wet comfort of sportswear fabric under the sweat state. Silk 2020, 2, 6–12.
  37. Liu, Y.; Hong, W.; Peng, J. Design of children’s knitted safety clothing based on ibeacon micro positioning technology. Wool Spinn. Technol. 2017, 45, 47–51.
  38. Köhler, A.R. Challenges for eco-design of emerging technologies: The case of electronic textiles. Mater. Des. 2013, 51, 51–60.
  39. Bharatula, N.B.; Ossevoort, S.; Stäger, M. Towards wearable autonomous microsystems. In International Conference on Pervasive Computing; Springer: Berlin/Heidelberg, Germany, 2004; pp. 225–237.
  40. Song, Y.; Lee, S.; Choi, Y. Design framework for a seamless smart glove using a digital knitting system. Fash. Text. 2021, 8, 1–13.
  41. Post, E.R.; Orth, M.; Russo, P.R. E-broidery: Design and fabrication of textile-based computing. IBM Syst. J. 2000, 39, 840–860.
  42. Karpagam, K.; Saranya, K.; Gopinathan, J. Development of smart clothing for military applications using thermochromic colorants. J. Text. Inst. 2017, 108, 1122–1127.
  43. Chen, Y.; Lu, W.; Shen, H. Solar-driven efficient degradation of emerging contaminants by g-C3N4-shielding polyester fiber/TiO2 composites. Appl. Catal. B Environ. 2019, 258, 117960.
  44. Berzowska, J.; Coelho, M. Kukkia and vilkas: Kinetic electronic garments. In Proceedings of the Ninth IEEE International Symposium on Wearable Computers (ISWC’05), Osaka, Japan, 18–21 October 2005; pp. 82–85.
  45. Lymberis, A.; Olsson, S. Intelligent biomedical clothing for personal health and disease management: State of the art and future vision. Telemed. J. e-Health 2003, 9, 379–386.
  46. Axisa, F.; Schmitt, P.M.; Gehin, C.; Delhomme, G.; McAdams, E.; Dittmar, A. Flexible technologies and smart clothing for citizen medicine, home healthcare, and disease prevention. IEEE Trans. Inf. Technol. Biomed. 2005, 9, 325–336.
More
This entry is offline, you can click here to edit this entry!
Video Production Service