Behavior Analysis and Prediction of Disabled in Smart Home

People with disabilities face a lot of inconvenience in daily life, even in their homes where are the most familiar environment. They are difficult to complete the operation of simple household equipment, and they rely heavily on others. In order to solve the above problems, we presented an operation behavior model for people with disabilities, analyzed their operation behavior and proposed a prediction method for them in smart home. This method can effectively reduce the dependence of disabled people on others and improve their self-reliance. Different from the existing operation behavior prediction methods in smart home, our method specialized in the operation behavior characteristics of the people with disabilities. In the process of modeling, some special elements of disabled groups are added in, such as types of disabilities and interaction modes. At the same time, the collaborative operation between users and collaborative operation relationship between various devices are also taken into our model. The experimental results shown that our method proposed in this paper has higher accuracy.