The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.
Trends in Workplace Wearable Technologies and Connected‐Worker Solutions for Next‐Generation Occupational Safety, Health, and Productivity
Open accessAbstract
The workplace influences the safety, health, and productivity of workers at multiple levels. To protect and promote total worker health, smart hardware, and software tools have emerged for the identification, elimination, substitution, and control of occupational hazards. Wearable devices enable constant monitoring of individual workers and the environment, whereas connected worker solutions provide contextual information and decision support. Here, the recent trends in commercial workplace technologies to monitor and manage occupational risks, injuries, accidents, and diseases are reviewed. Workplace safety wearables for safe lifting, ergonomics, hazard identification, sleep monitoring, fatigue management, and heat and cold stress are discussed. Examples of workplace productivity wearables for asset tracking, augmented reality, gesture and motion control, brain wave sensing, and work stress management are given. Workplace health wearables designed for work‐related musculoskeletal disorders, functional movement disorders, respiratory hazards, cardiovascular health, outdoor sun exposure, and continuous glucose monitoring are shown. Connected worker platforms are discussed with information about the architecture, system modules, intelligent operations, and industry applications. Predictive analytics provide contextual information about occupational safety risks, resource allocation, equipment failure, and predictive maintenance. Altogether, these examples highlight the ground‐level benefits of real‐time visibility about frontline workers, work environment, distributed assets, workforce efficiency, and safety compliance.
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Cited by
Zhu, H., Zhao, F., Liu, J., Chen, Y., & Wang, L. (2026) · Human Resource Management · doi:10.1002/hrm.70051 · Cited by 4
Mallick, N., Nanda, H., Sahu, S., Pattnayak, P., Mohanty, A., & Das, T. (2026) · 2026 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) · doi:10.1109/iatmsi68868.2026.11466166
Metadata
- Authors
- Patel, V., Chesmore, A., Legner, C. M., & Pandey, S.
- Venue
- Advanced Intelligent Systems
- Publisher
- Wiley
- Published
- 2021-09-23
- Volume
- 4
- Issue
- 1
- ISSN
- 2640-4567 (ISSN-L)
- OpenAlex
- W3203923637
- Cited by
- 336
- References
- 92
- FWCI
- 54.46
- Type
- journal article
- Language
- en
- Open access
- gold
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- Patel, V., Chesmore, A., Legner, C. M., & Pandey, S. (2022). Trends in Workplace Wearable Technologies and Connected‐Worker Solutions for Next‐Generation Occupational Safety, Health, and Productivity. Advanced Intelligent Systems. https://doi.org/10.1002/aisy.202100099
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.