Abstract
With the intensification of the global ageing population, the consumption needs of the elderly are gradually being taken seriously. Against the backdrop of strengthening health awareness, Chinese residents’ per capita healthcare consumption expenditure continues to increase. It is urgent to develop smart clothing that meets the consumption needs of the elderly.
Smart clothing, as a new trend in the electronics and computer industries, has emerged - designing high-tech products that can be integrated with clothing. Among them, medical smart clothing is a vital application direction, gradually develo** into an emerging health monitoring technology. For example, physiological monitoring smart clothing can monitor physiological indicators of the human body, such as heart rate, electrocardiogram, blood pressure, body temperature, pulse, pressure, and electromyographic signals.
This study analyzed the current application status of smart clothing in health monitoring, focusing on market size, technological innovation, application areas, brand competition, and development trends. Meanwhile, this study explored the promotion and application prospects of smart clothing in an ageing society, summarized the problems faced by smart clothing for the elderly, and looked forward to the future development trends of smart clothing for the elderly. In addition, to understand Chinese consumers’ expectations for healthy smart clothing, a questionnaire survey was conducted. The collected data were analyzed to determine the demand and expectations of the Chinese elderly for health smart clothing.
In summary, the development of health smart clothing requires attention to technological innovation, intelligent design, customized services, brand building, cross-border cooperation, and compliance with regulations and standards.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
World Population Prospects 2022: Summary of Results July 2022. https://www.un.org/development/desa/pd/
Gentile, F., et al.: A mathematical model of OECTs with variable internal geometry. Sens. Actuators Phys. 304, 111894 (2020)
Zhou, Z., et al.: All-carbon positive electrodes for stable aluminium batteries. J. Energy Chem. 42, 17–26 (2020)
Bhagwat, S., Mukherji, P.: Electromyogram (EMG) based fingers movement recognition using sparse filtering of wavelet packet coefficients. Sādhanā 45(1), 3 (2020)
Yu, T., et al.: Recursive decomposition of electromyographic signals with a varying number of active sources: bayesian modeling and filtering. IEEE Trans. Biomed. Eng. 67(2), 428–440 (2020)
Li, M., **ong, W., Li, Y.: Wearable measurement of ECG signals based on smart clothing. Int. J. Telemed. Appl. (2020)
Li, S., Zhang, H., Teng, W.: Application status and development prospect of smart clothing. Prog. Text. Sci. Technol. (4), 4Mel 7 (2019). (Chinese)
Hao, J., Li, Y.: Development status and trend of intelligent clothing. Text. Guide (4), 4 (2020). https://doi.org/10.16481/j.cnki.ctl.2020.04.015. (Chinese)
Jakubas, A., Łada-Tondyra, E.: A study on application of the ribbing stitch as sensor of respiratory rhythm in smart clothing designed for infants. J. Text. Inst. 109(9), 1208–1216 (2018)
Lada-Tondyra, E., Jakubas, A.: The concept of a textronic system limiting bacterial growth. In: 2018 Progress in Applied Electrical Engineering (PAEE), pp. 1–4 (2018)
Long, R: Health care industry has become the biggest potential market of smart clothing industry. China Fiber Insp. (Z1), 174175 (2020). (Chinese)
Lindeman, R.D., et al.: Prevalences of type 2 diabetes, the insulin resistance syndrome, and coronary heart disease in an elderly, biethnic population. Diabetes Care 21, 959–966 (1998)
Tanwar, R., et al.: Pathway of trends and technologies in fall detection: a systematic review. Healthcare 10 (2022)
Liu, S.: The importance of regular physical examination for early prevention and treatment of diseases in the middle-aged and elderly. Chin. Conval. Med. 18(5), 2 (2009). (Chinese)
Blain, H., et al.: Anti-fall plan for the elderly in France 2022–2024: objectives and methodology. Geriatrie et psychologie neuropsychiatrie du vieillissement 21(3), 286–294 (2023)
Zhang, H., Chen, Y.: Design and development of ECG monitoring clothing for the elderly. Shanghai Text. Sci. Technol. (6), 18Mel 21 (2018). (Chinese)
Zheng, Z., Liu, H.: Design of intelligent heating clothing control software based on Android and Bluetooth communication. Tian** Text. Sci. Technol. (2), 26Mui 28 (2015). (Chinese)
Chen, B.R.: LEGSys: wireless gait evaluation system using wearable sensors. In: Proceedings of Wireless Health (2011)
Tognetti, A., Lorussi, F., Car-Bonaro, N., et al.: Daily–life monitoring of stroke survivors motor performance: the interaction sensing system. In: Conference Proceedings of Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp 4099–4102 (2014)
Ren, X., Shen, L., Xue, Z.B., Tang, Y.: The construction of intelligent wearable clothing collaborative design system for the elderly. Decoration (4), 4 (2020). (Chinese)
Jebelli, H.: Wearable biosensors to understand construction workers’ mental and physical stress (2019)
Dong, K.: EazyTrack: Exploring Next-Gen Technology and User Experience Design to Help Relieve Stress. Rochester Institute of Technology (2018)
Liang, S., Xu, P.: Intelligent underwear design based on physiological signal monitoring. J. Wuhan Text. Univ. 31(6), 38 (2018). (Chinese)
Feng, J.M., Liu, Y.: Application analysis of new flexible energy storage components in clothing. Int. Text. Guide 44(2), 60, 65 (2016). (Chinese)
Jong, G.J., Aripriharta, Horng, G.J.: The PPG physiological signal for heart rate variability analysis. Wirel. Pers. Commun. 97(4), 5229–5276 (2017)
Kida, N., Tsubakihara, Y., Kida, H., et al.: Usefulness of measurement of heart rate variability by holter ECG in hemodialysis patients. BMC Nephrol. 18(1), 8 (2017)
Liu, Y., Cong, S.: Progress in the application of wearable technology in human health monitoring. Acta Text. Sinica 39(10), 180Mel 184 (2018). (Chinese)
Pei, L.: Research and Development of Intelligent clothing for exercise and body temperature Monitoring. Suzhou University, Suzhou (2017). (Chinese)
Wang, L., et al.: Application challenges in fiber and textile electronics. Adv. Mater. 32, 1901971 (2019)
Ismar, E., Tao, X., Rault, F., Dassonville, F., Cochrane, C.: Towards embroidered circuit board from conductive yarns for e-textiles. IEEE Access 8, 155329–155336 (2020)
Lund, A., et al.: Roll-to-roll dyed conducting silk yarns: a versatile material for e-textile devices. Adv. Mater. Technol. 3, 1800251 (2018)
Atalay, O., Kalaoglu, F., Bahadir, S.K.: Development of textile-based transmission lines using conductive yarns and ultrasonic welding technology for e-textile applications. J. Eng. Fibers Fabr. 14, 1558925019856603 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendix Survey Questionnaire
Appendix Survey Questionnaire
Smart clothing market questionnaire survey
Dear interviewee: Hello! We are fashion design students from South China University of Technology. In order to better understand people’s views and use of smart clothing, we have specially made a smart clothing questionnaire. We hope you can spare a few minutes to fill it out and submit it. Your comments and suggestions will be very helpful to our research. We promise that the information you provide will only be used for research analysis and will not be disclosed to any third party institutions or individuals. Please click on the following link to enter the questionnaire: (Link) Thankyou for your patience! If you have any questions, please feel free to contact us. Have a nice life!
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Huang, R., Yan, Y. (2024). Review of Research Status and Development Expectation of Health Smart Clothing. In: Duffy, V.G. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. HCII 2024. Lecture Notes in Computer Science, vol 14710. Springer, Cham. https://doi.org/10.1007/978-3-031-61063-9_5
Download citation
DOI: https://doi.org/10.1007/978-3-031-61063-9_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-61062-2
Online ISBN: 978-3-031-61063-9
eBook Packages: Computer ScienceComputer Science (R0)