With the rapid progression of urbanization and the increasing emphasis on enhancing human
well-being, there is a growing demand for intelligent systems that prioritize human-centered
design and functionality. Meeting this demand involves addressing key challenges, such as
developing advanced sensing technologies to monitor various aspects of human life, including
health indicators, behavioral patterns, and people's interactions with the built environment.
Moreover, it requires developing advanced AI models for human-in-the-loop applications,
such as predictive tools for personalized healthcare, adaptive systems for long-term
monitoring, and optimization algorithms to enhance daily activities and decision-making
processes. Additionally, integrating user requirements into system architectures, such as
intuitive interfaces, non-intrusive wearables and ambient devices, personalization, and
context awareness, remains a central focus.