The Internet of Things Approach to Improved Acoustic Comfort and Workplace Health
Abstract
Noise pollution has a significant influence on workplace health and well-being. Environmental noise has the most important influence on speed, quality, and production. Furthermore, several studies link ambient noise to an increase in artery pressure. As a result, ambient noise is a crucial concern for public health, and sound monitoring must be used within buildings because people spend the majority of their time indoors. Real-time sound monitoring allows for the compilation of a substantial dataset for decision-making on potential treatments for improved occupational health. This study describes an Internet of Things method to real-time sound monitoring. The key contribution is to propose a low-cost solution comprised of a cyber-physical data gathering device and web software for data display.
References
L. C. Ming, N. Untong, N. A. Aliudin, N. Osili, N. Kifli, C. S. Tan, et al., "Mobile Health Apps on COVID-19 Launched in the Early Days of the Pandemic: Content Analysis and Review", JMIR mHealth and uHealth, vol. 8, no. 9, pp. e19796-e19796, 2020.
Whig, P., Gupta, K., Jiwani, N., & Velu, A. (2022). Ambient Intelligence Health Services Using IoT. Ambient Intelligence and Internet Of Things: Convergent Technologies, 53.
R. Yao, W. Zhang, R. Evans, G. Cao, T. Rui and L. Shen, "Inequities in Health Care Services Caused by the Adoption of Digital Health Technologies: Scoping Review", Journal of Medical Internet Research, vol. 24, no. 3, pp. e34144-e34144, 2022.
Whig, Pawan, et al. "Adaptive Clinical Treatments and Reinforcement Learning for Automatic Disease diagnosis." AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management. IGI Global, 2022. 204-221.
F. D. Davis, "Perceived usefulness perceived ease of use and user acceptance of information technology", MIS quarterly, pp. 319-340, 1989.
M. Virtanen, J. Vahtera, J. Pentti, T. Honkonen, M. Elovainio and M. Kivimäki, "Job strain and psychologic distress influence on sickness absence among Finnish employees", American Journal of Preventive Medicine, vol. 33, no. 3, pp. 182-187, 2007.
Jiwani, N., Gupta, K., Sharif, M. H. U., Adhikari, N., & Afreen, N. (2022, October). A LSTM-CNN Model for Epileptic Seizures Detection using EEG Signal. In 2022 2nd International Conference on Emerging Smart Technologies and Applications (eSmarTA) (pp. 1-5). IEEE.
W. Rohmert, "Ergonomics: concept of work stress and strain", Applied Psychology, vol. 35, no. 2, pp. 159-180, 1986.
Jiwani, N., & Gupta, K. (2018). Exploring Business intelligence capabilities for supply chain: a systematic review. Transactions on Latest Trends in IoT, 1(1), 1-10.
D. Koh and T.-C. Aw, "Surveillance in occupational health", Occupational and environmental medicine, vol. 60, no. 9, pp. 705-710, 2003.