 This paper proposes a novel technique called Latency Aligning TRCA-LATRCA to improve the accuracy of target recognition in steady-state visual evoked potential SSVPIN based brain computer interfaces, BCI. This technique uses the phase velocities of the visual stimuli to determine the latencies of the visual responses across different channels. These latencies are then used to align the data epochs before applying TRCA to enhance the target recognition performance. Experimental results show that the proposed LATRCA outperforms existing TRCA-based expansions, demonstrating its effectiveness in improving the accuracy of SSVP-based BCI systems. This article was authored by Jian Huang, Pingfei Yang, Bing Xiong, and others.