Living Lab Assessment for the Development of a Non-Invasive Sensor Network for Measuring Activities and Comfort in Multi-Resident Contexts

The global aging trend has intensified the need for innovative, unobtrusive technologies that support independent living and health monitoring in domestic environments. In response, the Age-SenseAI project developed a novel Living Lab infrastructure specifically tailored to the study of multi-resident scenarios, enabling the testing and validation of sensor-based systems for monitoring human activity and environmental comfort. Grounded in co-design principles and informed by a comprehensive literature review, the Living Lab integrates a heterogeneous sensor network combining non-invasive devices, wearable technologies, smart objects, and both reference-grade and low-cost environmental sensors. A Real-Time Location System (RTLS) with inertial tags was selected as the ground-truth system due to its accuracy and proven effectiveness in tracking user behavior and movement in ambient intelligence applications. The spatial layout of the Living Lab simulates realistic residential environments, including zones for daily activities such as cooking, sleeping, working, and social interaction. Sensor deployment was optimized based on ergonomic criteria, environmental dynamics, and state-of-the-art guidelines from recent literature. This infrastructure enables multimodal data collection and supports the development of algorithms for activity recognition, comfort assessment, and behavioral analysis in shared domestic contexts.