Authors: Janani Nellore
Abstract: The convergence of wearable technology and artificial intelligence is transforming the landscape of physical and mental wellness. Modern wearables collect a wide range of biometric data—such as heart rate, sleep quality, and stress indicators—while AI systems analyze this data to generate real-time, personalized insights. These intelligent feedback loops help users make informed decisions about their activity levels, recovery needs, sleep hygiene, and emotional well-being. By continuously adapting to the user’s habits and physiological trends, AI enhances behavior change, supports mental resilience, and promotes preventive self-care. While challenges such as data privacy, sensor accuracy, and user dependency remain, the long-term potential for AI-driven wellness systems is vast. As wearable tech becomes more advanced and integrated with broader healthcare ecosystems, it paves the way for predictive, adaptive, and personalized health management that is proactive rather than reactive. This article explores how AI-enhanced wearables empower individuals to take control of their health through data-driven, sustainable lifestyle changes.
DOI: http://doi.org/10.5281/zenodo.16742236
