A Personalized Service Recommendation System In a Home-care Environment

Many bio-signals of the chronic patients could be measured by various bio-devices and transferred to back-end system over the wireless network through the homebox. In a home-care environment, it becomes more complex to reliably process transmitting and receiving these bio-signals by the homebox. While the bio-devices increasing, the process is even much more complex. In addition, the chronic patients always hope to be served correctly and suitably by the service system in the house. Therefore, we have to provide services such as adjusting room temperature and lighting etc to make those patients’ daily lives easy. In this paper, we propose a personalized service recommendation system (PSRS) based on users’ preferences and habits. The PSRS has capability of providing suitable services. Furthermore, we construct personal models to record the patients’ daily activities and habits. Through the models, the system will be able to automatically launch to safety alert, recommendable services and healthcare services in the house. In the future, the proposed system and models could even carry out the mobile health monitor and promotion in a home-care environment.