Research on neural networks has made significant progress since the invention of the perceptron in 1957. In recent years, advancements in hardware technology have enabled the development of multilayer neural networks, commonly referred to as deep learning. These large-scale learning models have found applications across various fields, including generative dialogue artificial intelligence, image processing, and object recognition, profoundly transforming these domains. The use of these revolutionary technologies is expected to lead to the development of many robotic systems that can assist and benefit people in various ways. This study aims to advance this field further by exploring the possibility for artificial intelligence to understand human conditions and behavior, and suggest or carry out the actions that a specific one might wish to perform. To this end, we have developed a gaze measurement system in the form of glasses. The primary objective of this research is to track a specific user’s gaze, identify the object of their focus, and estimate their desired actions based on their level of attention and interest in the object.