In the past few years, security has become a very important issue. Face and fingerprint recognition are used in most security systems. But there is another type of security that isn't talked about as much: gait recognition. This is the process of figuring out who someone is based on how they walk and how much pressure is put on their feet. In this paper, we'll talk about the ground reaction force, which can be used to tell the difference between how people walk. This research has also shown that using a deep learning approach can improve the rate of gait recognition. In addition to recognition based on video, we look at new modalities, such as recognition based on floor sensors, and new approaches, such as Convolutional Neural Networks (CNN). The work being proposed will be trained on the standard dataset, CASIA-D.