2025, Vol. 7, Issue 2, Part B
Wearable technology in real time decision support
Author(s): Folasade Ayankoya, Sunday Olaniyi, Felix Idepefo, Simeon Awodele and Olawumi Adebanjo
Abstract: Wearable technologies are increasingly central to real-time decision support across healthcare, occupational safety, sports, defense, and emergency response. By continuously capturing physiological, behavioral, and environmental data, these devices provide actionable insights that enhance both individual care and organizational performance. Their value lies in four domains: personalization of decisions, predictive analytics for early intervention, population-level intelligence to inform policy, and hybrid intelligence that augments human judgment. Despite these opportunities, unresolved challenges persist, including variable data accuracy, privacy risks, limited interoperability, and barriers to sustained user adoption. Addressing these issues requires stronger ethical frameworks, reliable integration standards, and attention to socio-technical factors influencing uptake. Advances in edge computing, multimodal data fusion, and governance mechanisms further underscore the field’s trajectory. This article argues that realizing the transformative potential of wearable technologies depends on interdisciplinary collaboration that bridges engineering, healthcare, ethics, and policy to create trustworthy decision-support ecosystems.
DOI: 10.33545/26633582.2025.v7.i2b.210Pages: 143-151 | Views: 338 | Downloads: 167Download Full Article: Click Here
How to cite this article:
Folasade Ayankoya, Sunday Olaniyi, Felix Idepefo, Simeon Awodele, Olawumi Adebanjo.
Wearable technology in real time decision support. Int J Eng Comput Sci 2025;7(2):143-151. DOI:
10.33545/26633582.2025.v7.i2b.210