Cited by 219Innovative Human-Technology InteractionContext-Aware Activity Recognition SystemsAdvanced Sensor and Energy Harvesting Materials

Sustainable Wearables: Wearable Technology for Enhancing the Quality of Human Life

Open access
Lee, Jaewoon, Kim, Dongho, Ryoo, Han-Young, Shin, Byeong-Seok·2016·Sustainability

Abstract

This paper aims to elicit insights about sustainable wearables by investigating recent advancements in wearable technology and their applications. Wearable technology has advanced considerably from a technical perspective, but it has stagnated due to barriers without penetrating wider society despite early positive expectations. This situation is the motivation behind the focus on studies by many research groups in recent years into wearable applications that can provide the best value from a human-oriented perspective. The expectation is that a new means to resolve the issue can be found from a viewpoint of sustainability; this is the main point of this paper. This paper first focuses on the trend of wearable technology like bodily status monitoring, multi-wearable device control, and smart networking between wearable sensors. Second, the development intention of such technology is investigated. Finally, this paper discusses about the applications of current wearable technology from the sustainable perspective, rather than detailed description of the component technologies employed in wearables. In this paper, the definition of sustainable wearables is discussed in the context of improving the quality of individual life, social impact, and social public interest; those wearable applications include the areas of wellness, healthcare, assistance for the visually impaired, disaster relief, and public safety. In the future, wearables will not be simple data trackers or fun accessories but will gain extended objectives and meanings that play a valuable role for individuals and societies. Successful and sustainable wearables will lead to positive changes for both individuals and societies overall.

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  • Wearable data collected in an ambulatory environment is likely to provide a more accurate and representative measure of an individual's physical status than a snapshot of data collected during a routine hospital appointment.

    “Furthermore, wearable data collected in an ambulatory environment is likely to provide a more accurate and representative measure of an individual’s physical status than a snapshot of data collected during a routine hospital appointment [21].”

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References 59 · Cited by 219

Research works printed but not linked: 4

  1. Ledger, D. Inside Wearables-Part 2; Endevour Partners: Cambridge, MA, USA, 2014; pp. 2-3. Available online: http://endeavourpartners.net/assets/Endeavour-Partners-Inside-Wearables-Part-2-July-2014.pdf (accessed on 16 April 2016).
  2. Agaskar, A.P.V.A.; Mithagari, A.; Mhatre, A.; Shetty, N. Internet of things: Home automation and surveillance system. Int. Educ. Sci. Res. J. 2016, 2. Article 4. Available online: http://iesrj.com/journal/index.php/iesrj/ article/view/59 (accessed on 16 April 2016).
  3. Wang, J.; Zhang, Z.; Zheng, Y.; Wu, M.; Kim, J.-U.; Prasad, K.; Sharma, R.; Wadhwani, D.; Ma, L.; Li, X. A novel fall activity recognition method for wireless sensor networks. Int. J. U-e-Service Sci. Technol. 2012, 5, 1-14.
  4. Manduchi, R.; Kurniawan, S. Mobility-related accidents experienced by people with visual impairment. AER J.: Res. Pract. Vis. Impair. Blind. 2011, 4, 44-54.

Authors
Lee, J., Kim, D., Ryoo, H.-Y., & Shin, B.-S.
Affiliations
  • Soongsil University (KR)
  • Ewha Womans University (KR)
  • Inha University (KR)
Corresponding author
Shin, Byeong-Seok
Venue
Sustainability
Publisher
MDPI AG
Published
2016-05-11
Volume
8
Issue
5
Pages
466
ISSN
2071-1050 (ISSN-L)
OpenAlex
W2382519751
Cited by
219
References
59
Citations by year
2026: 13 · 2025: 24 · 2024: 31 · 2023: 26 · 2022: 27 · 2021: 33 · 2020: 29 · 2019: 14 · 2018: 14 · 2017: 4 · 2016: 4
FWCI
18.70
Type
journal article
Language
en
Open access
Locations
  • Sustainability (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Next-Generation Information Computing Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2012M3C4A7032182)
Topics
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
Keywords
wearable devices, quality of life, wearable sensor networks, wellness applications, medical applications, assistive technology for visually impaired, disaster relief, public safety, technology and society

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