In this paper, a portable intelligent home service system based on Steady State Visually Evoked Potential(SSVEP) is constructed. This system is directly controlled by the brain, which is very suitable for special environment operations and assistive activities for the disabled. It is combined with intelligent home to meet the needs of the disabled and improve the quality of life of the disabled. Compared with the traditional BCI system, this system has better portability and cost performance. We also analyze the performance comparison between the Canonical Correlation Analysis(CCA) algorithm and the classical FastFourier transform(FFT) algorithm under different sampling time in this paper. The experiment results demonstrate that the system has the characteristics of portable, small volume, low cost and high accuracy.