Open Journal Systems

Research and analysis of user needs for smart clothing for the elderly

Ting Lv, Yehu Lu, Guoqing Zhu

Article ID: 1653
Vol 2, Issue 2, 2021

DOI: https://doi.org/10.54517/wt.v2i2.1653
VIEWS - 505 (Abstract)

Abstract

Following the principle of “people-oriented”, we explore the user needs of smart clothing for the elderly and provide reference for the development of such clothing. The target consumers of smart clothing for the elderly are divided into two categories: The elderly and the young, and the needs of elderly users are investigated by means of literature analysis and interviews. The study showed that the needs of elderly users for senior smart clothing can be divided into five areas: Physiological, psychological, aesthetic, functional and consumer; the younger group is generally willing to buy senior smart clothing for the elderly and wants functional design to focus on physiological monitoring technology and aesthetic design to focus on loose fit design and dark shades of colour matching. The findings of the study will help companies to improve their design solutions and promote the healthy development of the senior clothing market.

Keywords

smart clothing for the elderly; demand analysis; consumer willingness; research methods

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References

1. Yu J. Comprehensively implementing a series of decisions and deployments of the plenary session on elderly services. China Social News, 2020 Dec 4.

2. Li J. Old-age products: Design vs demand. China Business News, 2020 Mar 23.

3. Cai F. Coping with population ageing, facing up to challenges and opportunities. Henan Daily, 2020 Nov 20.

4. Sun J, Xue Z, Liu J, et al. Current situation and outlook of the development of middle-aged and old-age clothing. Progress in Textile Science and Technology 2018; (10): 4–7.

5. Wang L. Designing our “future” by focusing on the needs of the elderly. China Textile 2011; (9): 121–123.

6. Xiao X, Liu J, Shu W, et al. Market research and product design of senior clothing in Chengdu. Science and Technology Perspectives 2014; (2): 162, 178.

7. Chen Y, Lai H. Research on the functional design of intelligent clothing for the elderly. Shanghai Textile Science and Technology 2018; 46(2): 1–3.

8. Wu S. Application design of smart clothing for the elderly based on wearable devices. Art Technology 2019; 32(9): 121–123.

9. Gao H, Kuang C. Research progress of intelligent clothing for the elderly. Light Industry Science and Technology 2017; 33(11): 109–110.

10. Tian M, Li J. Design pattern and development trend of intelligent clothing. Journal of Textiles 2014; 35(2): 109–115.

11. Tiago MFC, Paula FL. Towards the internet of smart clothing: A review on IoT wearables and garments for creating intelligent connected E-textiles. Electronics 2018; 7(12): 405–440.

12. Fang D, Shen L, Tang Y. Research on guardianship clothing for empty nesters under the 1T2F model. Knitting Industry 2015; (10): 62–65.

13. Shen L, Sang P. Design and development of intelligent clothing for the elderly against wandering. Knitting Industry 2019; (8): 61–64.

14. Zhang M, Zhu D. Research on the design of intelligent clothing used to improve the sleep quality of the elderly. Journal of Donghua University (Social Science Edition) 2019; 19(3): 277–281.

15. Deng F. Research on the structural design of middle-aged and old-aged garments with humpbacked body in China [Master’s thesis]. Wuhan: Wuhan Textile University; 2017.

16. Li M. Research on the structure of fitted trousers based on the typical body shape of the lower body of middle-aged and elderly people in the surrounding areas of Zhengzhou [Master’s thesis]. Zhengzhou: Zhongyuan Institute of Technology; 2019.

17. Jin W, Xin B, Ai L, et al. Research on the demand and design of intelligent clothing for middle-aged and elderly people. Western Leather 2020; 42(5): 81–82.

18. Ren X, Shen L, Xue Z, et al. Intelligent wearable clothing for the elderly: A collaborative design system. Decoration 2020; (4): 112–115.

19. Wang Z, Yang Z, Dong T. A review of wearable technologies for elderly care that can accurately track indoor position, recognize physical activities and monitor vital signs in real time. Sensors (Basel, Switzerland) 2017; 17(2): 341–376.

20. Lobo MA, Hall ML, Ben G, et al. Wearables for pediatric rehabilitation: How to optimally design and use products to meet the needs of users. Physical Therapy 2019; 99(6): 647–657.

21. Dai S, Xu R, Jin H. Analysis of the psychology and behavior of middle-aged and elderly consumers’ clothing purchase in Shaoxing City. Journal of Shaoxing College of Arts and Sciences (Natural Sciences) 2013; 33(3): 48–52.

22. Carlos G, Alexandre FDS, Joa OG, et al. Wearable E-textile technologies: A review on sensors, actuators and control elements. Inventions 2018; 3(1): 14–26.

23. Peng H. Research on the elderly consumer market [Master’s thesis]. Guangzhou: Guangdong Academy of Social Sciences; 2015.

24. Xu C. Research on the design of senior clothing based on the new behavior model [Master’s thesis]. Hangzhou: Zhejiang University of Technology; 2019.