The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Application of artificial intelligence in wearable devices: Opportunities and challenges
Open accessAbstract
BACKGROUND AND OBJECTIVES Wearable technologies have added completely new and fast emerging tools to the popular field of personal gadgets. Aside from being fashionable and equipped with advanced hardware technologies such as communication modules and networking, wearable devices have the potential to fuel artificial intelligence (AI) methods with a wide range of valuable data. METHODS Various AI techniques such as supervised, unsupervised, semi-supervised and reinforcement learning (RL) have already been used to carry out various tasks. This paper reviews the recent applications of wearables that have leveraged AI to achieve their objectives. RESULTS Particular example applications of supervised and unsupervised learning for medical diagnosis are reviewed. Moreover, examples combining the internet of things, wearables, and RL are reviewed. Application examples of wearables will be also presented for specific domains such as medical, industrial, and sport. Medical applications include fitness, movement disorder, mental health, etc. Industrial applications include employee performance improvement with the aid of wearables. Sport applications are all about providing better user experience during workout sessions or professional gameplays. CONCLUSION The most important challenges regarding design and development of wearable devices and the computation burden of using AI methods are presented. Finally, future challenges and opportunities for wearable devices are presented.
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AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications
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Eswaran, M., & Bahubalendruni, M. V. A. R. (2022) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2022.09.016 · Cited by 308
Future of Artificial Intelligence—Machine Learning Trends in Pathology and Medicine
Hanna, M. G., Pantanowitz, L., Dash, R., Harrison, J. H., Deebajah, M., Pantanowitz, J., & Rashidi, H. H. (2025) · Modern Pathology · doi:10.1016/j.modpat.2025.100705 · Cited by 231
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Metadata
- Authors
- Nahavandi, D., Alizadehsani, R., Khosravi, A., & Acharya, U. R.
- Venue
- Computer Methods and Programs in Biomedicine
- Publisher
- Elsevier BV
- Published
- 2022-01
- Volume
- 213
- Pages
- 106541
- ISSN
- 0169-2607 (ISSN-L)
- OpenAlex
- W3213261856
- Cited by
- 372
- References
- 14
- FWCI
- 16.49
- Type
- journal article
- Language
- en
- Open access
- green
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