This study exploits information fusion in IoT systems and uses a clustering method to identify similarities in behaviours and key characteristics within each cluster. This approach facilitates early detection of behaviour changes and provides a more in-depth understanding of behaviour routines for continuous health monitoring.

翻译：本研究利用物联网系统中的信息融合技术，采用聚类方法识别行为相似性及每个聚类内的关键特征。该方法有助于早期检测行为变化，并为持续健康监测提供对行为习惯的更深入理解。