Systematic Review of IoT-Based Solutions for User Tracking: Towards Smarter Lifestyle, Wellness and Health Management
- PMID: 39338683
- PMCID: PMC11435569
- DOI: 10.3390/s24185939
Systematic Review of IoT-Based Solutions for User Tracking: Towards Smarter Lifestyle, Wellness and Health Management
Abstract
The Internet of Things (IoT) base has grown to over 20 billion devices currently operational worldwide. As they greatly extend the applicability and use of biosensors, IoT developments are transformative. Recent studies show that IoT, coupled with advanced communication frameworks, such as machine-to-machine (M2M) interactions, can lead to (1) improved efficiency in data exchange, (2) accurate and timely health monitoring, and (3) enhanced user engagement and compliance through advancements in human-computer interaction. This systematic review of the 19 most relevant studies examines the potential of IoT in health and lifestyle management by conducting detailed analyses and quality assessments of each study. Findings indicate that IoT-based systems effectively monitor various health parameters using biosensors, facilitate real-time feedback, and support personalized health recommendations. Key limitations include small sample sizes, insufficient security measures, practical issues with wearable sensors, and reliance on internet connectivity in areas with poor network infrastructure. The reviewed studies demonstrated innovative applications of IoT, focusing on M2M interactions, edge devices, multimodality health monitoring, intelligent decision-making, and automated health management systems. These insights offer valuable recommendations for optimizing IoT technologies in health and wellness management.
Keywords: Internet of things (IoT); health and wellness management; health monitoring; human–computer interaction (HCI); machine-to-machine (M2M) interaction; real-time monitoring; wearable sensors.
Conflict of interest statement
The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.
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References
-
- Shaukat K., Alam T.M., Hameed I.A., Khan W.A., Abbas N., Luo S. A review on security challenges in internet of things (IoT); Proceedings of the 2021 26th International Conference on Automation and Computing (ICAC); Portsmouth, UK. 2–4 September 2021; pp. 1–6.
-
- Chahal R.K., Kumar N., Batra S. Trust management in social Internet of Things: A taxonomy, open issues, and challenges. Comput. Commun. 2020;150:13–46. doi: 10.1016/j.comcom.2019.10.034. - DOI
-
- Suleimany M. Smart Urban Management and IoT; Paradigm of E-Governance and Technologies in Developing Communities; Proceedings of the 2021 5th International Conference on Internet of Things and Applications (IoT); Isfahan, Iran. 19–20 May 2021; pp. 1–6.
-
- Khan W.Z., Rehman M., Zangoti H.M., Afzal M.K., Armi N., Salah K. Industrial internet of things: Recent advances, enabling technologies and open challenges. Comput. Electr. Eng. 2020;81:106522. doi: 10.1016/j.compeleceng.2019.106522. - DOI
-
- Kabanov A., Kramar V. Marine internet of things platforms for interoperability of marine robotic agents: An overview of concepts and architectures. J. Mar. Sci. Eng. 2022;10:1279. doi: 10.3390/jmse10091279. - DOI
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