Integrating mobile sensing and social network for personalized health-care application

Abstract

In the past decade, the rates of overweight and obesity have been increasing dramatically worldwide, which lead to serious health risks, including heart diseases, diabetes, and various cancers. Clearly, to improve the health conditions, physical activities and diet are the most important factors for people to control the weight and thus achieve healthy lifestyle. Motivated by the amazingly growth of smartphone ownership and the sensing technologies, in this paper, we propose a mobile-sensing based health recognition and recommendation framework, namely, H-Rec2. The main idea is to use smartphone to unobtrusively record and analyze the user's physical activity and health status, and at the same time obtain the personalized health food recommendations from the remote server. To demonstrate the idea, we implemented a prototype system and conduct systematic experiments to evaluate performance. The evaluation results confirm the proposed approaches with regard to the effectiveness and usability.