The work aims to respond to the global aging trend and improve the quality of life and independence of the elderly through in-depth analysis on behavioral data of the elderly and the construction of behavioral models and smart home aging-friendly design frameworks. First, through systematic data analysis, data on the daily activities, movement patterns and health status of the elderly were collected to build a behavioral model. Secondly, based on the behavioral model, an innovative smart home aging-friendly design framework was proposed, focusing on key design elements such as personalization, intelligent interface, intelligent health monitoring and emergency rescue. Finally, through behavioral data analysis, a behavior model of the elderly was successfully established to provide data support for the design of smart home systems. In conclusion, by analyzing behavioral data, the behavioral model of the elderly is established, which provides a strong basis for the design of smart home systems. The proposed design framework emphasizes personalized response, intelligent interface, health monitoring and emergency rescue, etc., to create a better living environment for elderly users. It has guiding significance for smart home and elderly care.