Critical Analysis of Internet of Things (IoT) And Artificial Intelligence (AI) Applications in Mental Health Assessment

Abstract

The integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies is driving a paradigm shift in mental health assessment by facilitating continuous, real-time monitoring and personalized insights. This paper critically examines the deployment of smart devices—such as wearables and ambient sensors—combined with AI-driven analytics to augment traditional approaches. By analysing behavioural indicators like sleep, activity levels, and social interaction, these systems can help detect early signs of mental health conditions including depression and anxiety. Remote monitoring capabilities offered by IoT further enhances its benefits. Through a systematic review of current technologies and real-world implementations, the paper evaluates their effectiveness, scalability, and ethical viability. It also addresses critical challenges such as data privacy, algorithmic fairness, and the cultivation of user trust. The findings underscore the need for transparent algorithm design, inclusive development practices, and robust regulatory oversight. Ultimately, the paper advocates for AI-IoT ecosystems that advance proactive, equitable, and clinically meaningful mental health interventions.