Research and Implementation of Human-Computer Interaction Technology Based on Artificial Intelligence Visual Tracking Algorithm

Visual tracking algorithms have become so beneficial and important in the approach of creating intelligent and customized interactive experiences. Deep-learning AI visualization tracking algorithms drastically enhance the precision and the response time of the interactive systems, which are widely used in user-authentication-gesture-recognition, eye-tracking, etc. In this survey, we studied the use of AI visual tracking algorithms in the domain of human-computer interaction by making a human-computer system according to AIRA visual tracking algorithms for recognition and tracking of user actions and behaviors. The experiments presented here exhibit their practical advantage over the counterparts in their high accuracy and speed of response and thus evidence the usefulness of the technology in producing a flawless natural interaction between the machine and the user. By and large, this investigation provides the grounding theory for the development of intelligent human-computer interfaces and creates the multisource application prerequisites for the future.