The article presents a fuzzy logic-based system to identify behavioral patterns from sensor data in smart homes, validated with real data from chronic patients.
Jaén, May 2025 – Researchers David Díaz-Jiménez, José Luis López Ruiz, and Macarena Espinilla Estévez, members of the MicroChip4Age project team at the University of Jaén, together with Carlos Fernández Basso from the University of Granada, have published a new research paper in the prestigious journal Information Fusion—one of the world’s leading publications in the field of artificial intelligence and data fusion.
The article, titled “Extraction of Frequent Behaviours in Activity Recognition Using Fuzzy Processing and Fuzzy Association Rules”, proposes an innovative system that applies sensor data fusion and fuzzy logic to identify frequent behavioral patterns in home environments, especially for older adults and individuals with chronic conditions such as type II diabetes.
Interpretable artificial intelligence for smart care
The methodology combines advanced data mining, fuzzy processing, and indoor localization systems, generating comprehensible and health-relevant behavior rules for professionals. The system has been successfully validated in a real-world setting—a sensorized home in Cabra (Córdoba, Spain)—demonstrating its effectiveness in optimizing daily routines, detecting unhealthy habits, and anticipating potential health risks.
One of the most innovative aspects of this work is the system’s ability to extract interpretable knowledge, which facilitates its adoption in clinical and social environments, where decision-making often involves non-technical healthcare staff.
A contribution to the technological core of MicroChip4Age
This work is part of the technological development of the MicroChip4Age project, contributing to its methodological foundation through the application of fuzzy logic to data gathered from distributed environmental sensors and activity wristbands. The publication confirms the scientific and technical maturity of the project, and strengthens its positioning in the field of AI for health and active aging.
